Signal transmission method, device and system

Abstract

The application provides a signal transmission method, device and system. The method comprises the following steps: a monitoring device determines a first weight set, the first weight set comprising a weight corresponding to each of a plurality of transmission channels. The monitoring device controls the plurality of transmission channels to transmit a deformation monitoring signal according to the first weight set, the deformation monitoring signal being used for monitoring deformation of a target to be measured, wherein a maximum signal strength radiation direction of the deformation monitoring signal is not overlapped with a target direction, and an angle of the maximum signal strength radiation direction offset compared with a clutter direction is greater than an angle of the maximum signal strength radiation direction offset compared with the target direction, and the target is located at a position on the target to be measured where deformation is to be monitored. The signal-to-clutter ratio of the echo signal of the deformation monitoring signal can be improved, and the deformation monitoring precision is improved.

Description

Technical Field

[0001] This application relates to the field of signal processing, and more specifically, to a signal transmission method, apparatus, and system. Background Technology

[0002] For infrastructure such as bridges and buildings, deformation measurements need to be conducted regularly to maintain their safety. Traditional methods of measuring deformation manually not only require a large amount of manpower and resources, but also cannot guarantee measurement accuracy.

[0003] Measuring the micro-deformation of a target using the electromagnetic wave phase difference principle is considered an effective method for long-distance micro-deformation measurement. Devices with electromagnetic wave signal transceiver capabilities can perform this deformation measurement. However, in actual measurements, the presence of scatterers with strong scattering power in the environment can alter the phase of the echo signal, thus affecting the measurement results.

[0004] Currently, the measurement accuracy of target deformation measured by electromagnetic waves still needs to be improved. Summary of the Invention

[0005] This application provides a signal transmission method, apparatus, and system that can improve the accuracy of deformation monitoring by increasing the signal-to-noise ratio of the echo signal of the deformation monitoring signal.

[0006] Firstly, a signal transmission method is provided, which can be executed by a monitoring device, which can be a monitoring equipment or a unit / module / component (such as a chip, chip system, logic circuit, or software) configurable in (or usable in) a monitoring equipment. The monitoring equipment can be a device capable of transmitting electromagnetic wave signals, such as radar or a base station.

[0007] The method includes: a monitoring device determining a first weight set, the first weight set including the weight corresponding to each of a plurality of transmission channels; the monitoring device controlling the plurality of transmission channels to transmit a deformation monitoring signal according to the first weight set, the deformation monitoring signal being used to monitor the deformation of a target under test, wherein the maximum signal intensity radiation direction of the deformation monitoring signal does not overlap with the target direction, and the angle of offset of the maximum signal intensity radiation direction relative to the clutter direction is greater than the angle of offset relative to the target direction, the target being located at the position of the deformation to be monitored on the target under test.

[0008] According to the above scheme, the monitoring device can determine the weight corresponding to each of the multiple transmission channels, obtaining a first weight set. This allows the monitoring device to control the multiple transmission channels and transmit deformation monitoring signals based on the first weight set. The deformation monitoring signals transmitted by the multiple transmission channels form a target beam, where the maximum signal intensity radiation direction of the target beam does not overlap with the target direction, and the angle of deviation of the maximum signal intensity radiation direction relative to the clutter direction is greater than the angle of deviation of the maximum signal intensity radiation direction relative to the target direction. In other words, the maximum signal intensity radiation direction of the deformation monitoring signal transmitted based on the first weight set can deviate from (or move away from) the clutter direction, weakening the signal energy radiated into the clutter region, reducing the clutter signal energy in the echo signal, and improving the signal-to-clutter ratio of the echo signal. This improves the accuracy of monitoring the deformation of the target based on the echo signal.

[0009] In conjunction with the first aspect, in some implementations of the first aspect, the method further includes: the monitoring device determining the deformation of the target under test based on the echo signal of the deformation monitoring signal.

[0010] For example, if the deformation is 0 or approximately 0, it means that the target under test has not deformed. If the deformation is a non-zero value or a value that cannot be approximated as 0, it is considered that the target under test has deformed, and the degree of deformation of the target under test can be determined based on the deformation.

[0011] In this implementation, the monitoring device can not only send deformation monitoring signals through the scheme provided in this application, but also receive the echo signals of the deformation monitoring signals, determine the deformation of the target under test based on the echo signals, and realize the deformation monitoring of the target under test.

[0012] In conjunction with the first aspect, in some implementations of the first aspect, the method further includes: the monitoring device acquiring position parameters corresponding to the clutter direction; and the monitoring device determining the first weight set based on the position parameters corresponding to the clutter direction and the position parameters of the target.

[0013] For example, the position parameters mentioned above may include azimuth and / or pitch angles, or the position parameters may also be coordinate axis parameters in a preset coordinate system.

[0014] According to the above scheme, the monitoring device can determine a first weight set corresponding to multiple transmission channels based on the position parameters corresponding to the clutter direction and the target position parameters. This allows the deformation detection signals transmitted by the multiple transmission channels based on the first weight set to form a target beam, resulting in weaker signal energy radiated from the target beam to the clutter region, thereby improving the signal-to-clutter ratio of the echo signal. This enhances the accuracy of monitoring the deformation of the target based on the echo signal.

[0015] In conjunction with the first aspect, in certain implementations of the first aspect, obtaining the position parameters corresponding to the clutter direction includes: a monitoring device sending a detection signal; the monitoring device receiving the echo signals of the detection signal through the multiple transmission channels to obtain multiple first echo signals; and the monitoring device determining the position parameters corresponding to the clutter direction based on the multiple first echo signals.

[0016] According to the above scheme, the monitoring device can determine the position parameters corresponding to the clutter direction by sending a detection signal and based on the echo signal received through each of the multiple transmission channels. This improves the automation level of deformation monitoring, allows the acquisition of the position parameters corresponding to the clutter direction before the need to send deformation monitoring signals, and improves the timeliness of the position parameters corresponding to the clutter direction.

[0017] In conjunction with the first aspect, in some implementations of the first aspect, the monitoring device sends a detection signal, including: the monitoring device sends the detection signal when the target is obscured or the target does not exist.

[0018] Optionally, the target can be shielded by a microwave absorbing material. Shielding the target with a microwave absorbing material can prevent the target from radiating electromagnetic waves. Furthermore, the microwave absorbing material can absorb electromagnetic waves, thus preventing the introduction of new clutter into the target location after shielding.

[0019] In conjunction with the first aspect, in some implementations of the first aspect, the monitoring device determines the position parameters corresponding to the clutter direction based on the plurality of first echo signals, including: the monitoring device determines the position parameters corresponding to the clutter direction based on the position parameters of the target and the plurality of first echo signals.

[0020] According to the above scheme, the monitoring device needs to refer to the target's position parameters to determine the position parameters corresponding to the clutter direction. This ensures that the position parameters determined by the monitoring device correspond to the clutter direction that may affect the deformation monitoring signal, thereby improving the accuracy of obtaining the position parameters corresponding to the clutter direction.

[0021] In conjunction with the first aspect, in certain implementations of the first aspect, the monitoring device determines the position parameters corresponding to the clutter direction based on the target's position parameters and the plurality of first echo signals, including: the monitoring device sampling each of the plurality of first echo signals at a first sampling frequency to obtain a sampled signal corresponding to each echo signal; the monitoring device determining the first distance unit where the target is located based on the first sampling frequency and the target's position parameters; and the monitoring device determining the position parameters corresponding to the clutter direction, which are obtained by measuring the position parameters based on the sampled signals of the plurality of transmission channels corresponding to the first distance unit.

[0022] Optionally, the monitoring device determines the position parameters corresponding to the clutter direction, including: acquiring multiple matched filtering results, wherein the multiple matched filtering results include the matched filtering result corresponding to the first distance unit from the matched filtering results of the sampled signal corresponding to each of the multiple first echo signals. Based on the multiple matched filtering results, the monitoring device obtains an angle diagram, and the position parameters include angular position parameters.

[0023] For example, the position parameters include azimuth and / or elevation angles. The angle diagram can be an azimuth diagram, an elevation diagram, or an azimuth-elevation diagram. The monitoring device can determine that the position parameter corresponding to the point of strongest energy in the angle diagram is the position parameter corresponding to the clutter direction. In this example, the position parameter is an angle parameter.

[0024] Taking the azimuth-elevation diagram as an example, the monitoring device can extract the matched filtering result corresponding to the first range unit from the matched filtering results of the sampled signals corresponding to multiple first echo signals, thus obtaining multiple matched filtering results corresponding to the first range unit. The monitoring device uses the IAA algorithm to calculate the azimuth-elevation diagram corresponding to the first range unit based on these multiple matched filtering results. The monitoring device can consider the point with the strongest energy in the azimuth-elevation diagram as the point with the strongest energy of clutter signal near the first range unit. The monitoring device can obtain the azimuth and elevation angles corresponding to the point with the strongest energy in the azimuth-elevation diagram as the azimuth angle φ corresponding to the clutter direction. Pc and pitch angle θ Pc That is, the positional parameters corresponding to the clutter direction determined by the monitoring device include the azimuth angle φ. Pc and pitch angle θ Pc .

[0025] In conjunction with the first aspect, in some implementations of the first aspect, the monitoring device acquires the position parameters corresponding to the clutter direction, including: the monitoring device acquires the position parameters corresponding to the clutter direction through a communication interface.

[0026] For example, the communication interface may be an application layer interface, air interface, or application programming interface (API) of the monitoring device, which can obtain parameters.

[0027] It should be noted that the distance cell where the target is located may include one or more scatterers that reflect clutter signals. In the embodiments of this application, the position parameter corresponding to the clutter direction may be an equivalent position parameter determined based on the position of the one or more scatterers, such as the position parameter of the equivalent center point calculated geometrically, or it may be the parameter of the scatterer that is closest to the center point among the one or more scatterers. This application does not limit this.

[0028] In conjunction with the first aspect, in certain implementations of the first aspect, the monitoring device determines the first weight set based on the position parameters corresponding to the clutter direction and the position parameters of the target. This includes: the monitoring device determining a direction parameter representing the offset of the clutter direction relative to the target direction based on the position parameters corresponding to the clutter direction and the position parameters of the target. The monitoring device then constructs an optimization problem for solving the weight set corresponding to the multiple transmission channels based on the direction parameter and the beam pattern functions corresponding to the multiple transmission channels, thereby obtaining the first weight set.

[0029] Optionally, the position parameter includes an azimuth angle, and the direction parameter includes an azimuth offset of the clutter direction relative to the target direction; and / or,

[0030] The position parameter includes the pitch angle, and the direction parameter includes the pitch angle offset of the clutter direction relative to the target direction.

[0031] According to the above scheme, an optimization problem is constructed with the weight set corresponding to multiple transmission channels as the optimization variable. By solving the optimization problem, the optimal or better weight set that can improve the signal-to-noise ratio of the echo signal can be obtained.

[0032] In conjunction with the first aspect, in some implementations of the first aspect, the optimization problem is specifically based on the gradient direction determined by the direction parameter, and solving for the set of weights that make the beam pattern function obtain the target gradient value at the position parameter of the target.

[0033] According to the above scheme, an optimization problem is constructed based on the maximum gradient principle, and the set of weights corresponding to the target gradient value is obtained to optimize the transmission beam of the deformation monitoring signal and improve the signal-to-noise ratio of the echo signal.

[0034] In conjunction with the first aspect, in some implementations of the first aspect, the optimization problem includes one or more of the following constraints:

[0035] The imaginary part of the beam pattern function at the directional parameter of the target is 0;

[0036] The maximum attenuation of the radiation power of the deformation monitoring signal supported by deformation monitoring in the direction of the target;

[0037] The maximum signal-to-noise ratio loss of the deformation monitoring signal supported by deformation monitoring in the target direction;

[0038] The maximum transmission power of this transmission channel;

[0039] The maximum total transmission power of these multiple transmission channels.

[0040] According to the above scheme, the specific solution to the optimization problem can be achieved by setting reasonable constraints to obtain a set of weights that meet the requirements. In conjunction with the first aspect, in some implementations of the first aspect, the monitoring device determines the first set of weights by: acquiring multiple candidate target parameters, which are candidate clutter position parameters or direction parameters indicating the offset of the clutter direction relative to the target direction; determining multiple candidate weight sets based on the multiple candidate target parameters, with each candidate target parameter corresponding one-to-one with the multiple candidate weight sets; transmitting detection signals through multiple transmission channels according to each candidate weight set, and receiving the echo signals of each detection signal to obtain multiple second echo signals; and determining the first set of weights from the multiple candidate weight sets based on the multiple second echo signals and the target position parameters.

[0041] According to the above scheme, multiple candidate target parameters can be predefined, and detection signals can be sent based on multiple candidate target parameters to determine the target parameters that can meet the requirements among the candidate target parameters, obtain the corresponding weight set, improve the signal-to-noise ratio of the echo signal, and thus improve the accuracy of deformation monitoring.

[0042] In conjunction with the first aspect, in certain implementations of the first aspect, the monitoring device determines the first weight set from the plurality of candidate weight sets based on the plurality of second echo signals and the target's position parameters. This includes: the monitoring device sampling each of the plurality of second echo signals at a first sampling frequency to obtain a sampled signal corresponding to each echo signal; the monitoring device determining the first distance unit where the target is located based on the first sampling frequency and the target's position parameters; the monitoring device determining the target measurement parameters corresponding to each candidate weight set based on the sampled signals corresponding to the plurality of second echo signals and the first distance unit; and the monitoring device determining the first weight set from the plurality of candidate weight sets based on the target measurement parameters corresponding to each candidate weight set.

[0043] Secondly, a monitoring device is provided. In one design, the device may include modules corresponding to the methods / operations / steps / actions described in the first aspect or any embodiment of the first aspect. These modules may be hardware circuits, software, or a combination of hardware circuits and software. In one design, the device includes: a processing unit for determining a first weight set, which includes weights corresponding to each of a plurality of transmission channels; and a transceiver unit for transmitting a deformation monitoring signal through the plurality of transmission channels according to the first weight set. The deformation monitoring signal is used to monitor the deformation of a target under test. The maximum signal intensity radiation direction of the deformation monitoring signal does not overlap with the target direction, and the angle at which the maximum signal intensity radiation direction deviates from the clutter direction is greater than the angle at which it deviates from the target direction. The target is located on the target at the position of the deformation to be monitored.

[0044] In conjunction with the second aspect, in some implementations of the second aspect, the processing unit is also used to determine whether the target under test has undergone deformation based on the echo signal of the deformation monitoring signal.

[0045] In conjunction with the second aspect, in some implementations of the second aspect, the transceiver unit is used to acquire the position parameters corresponding to the clutter direction. The processing unit is specifically used to determine the first weight set based on the position parameters corresponding to the clutter direction and the position parameters of the target.

[0046] In conjunction with the second aspect, in some implementations of the second aspect, the transceiver unit is also used to transmit a probe signal. Specifically, the processing unit is used to receive the echo signals of the probe signal through the plurality of transmission channels to obtain a plurality of first echo signals. Specifically, the processing unit is used to determine the position parameters corresponding to the clutter direction based on the plurality of first echo signals.

[0047] In conjunction with the second aspect, in some implementations of the second aspect, the transceiver unit is specifically used to send the detection signal when the target is obscured or the target does not exist.

[0048] In conjunction with the second aspect, in some implementations of the second aspect, the processing unit is specifically used to determine the position parameters corresponding to the clutter direction based on the position parameters of the target and the plurality of first echo signals.

[0049] In conjunction with the second aspect, in some implementations of the second aspect, the processing unit is specifically configured to sample each of the plurality of first echo signals at a first sampling frequency to obtain a sampled signal corresponding to each echo signal, and to determine the first distance unit where the target is located based on the first sampling frequency and the target's position parameters. Specifically, the processing unit is configured to determine the position parameters corresponding to the clutter direction, which are the position parameters corresponding to the strongest energy in the correspondence between the position parameters and energy corresponding to the first distance unit, and this correspondence is determined based on the sampled signals corresponding to the plurality of first echo signals and the first distance unit.

[0050] In conjunction with the second aspect, in some implementations of the second aspect, the processing unit is specifically used to acquire multiple matched filtering results, which include the matched filtering result corresponding to the first distance unit from the matched filtering results of the sampled signal corresponding to each of the multiple first echo signals. Specifically, the processing unit is used to obtain the correspondence between position parameters and energy based on the multiple matched filtering results. Specifically, the processing unit is used to determine the first position parameter corresponding to the strongest energy in the correspondence, where the first position parameter is the position parameter corresponding to the clutter direction.

[0051] In conjunction with the second aspect, in some implementations of the second aspect, the transceiver unit is specifically used to obtain the position parameters corresponding to the clutter direction through the communication interface.

[0052] In conjunction with the second aspect, in some implementations of the second aspect, the processing unit is specifically used to determine the direction parameter of the clutter direction relative to the target direction based on the position parameter corresponding to the clutter direction and the position parameter of the target. Specifically, the processing unit is used to construct an optimization problem for solving the weight set corresponding to the multiple transmission channels based on the direction parameter and the beam pattern function corresponding to the multiple transmission channels, thereby obtaining the first weight set.

[0053] In conjunction with the second aspect, in some implementations of the second aspect, the position parameter includes an azimuth angle, and the direction parameter includes an azimuth angle offset of the clutter direction relative to the target direction; and / or,

[0054] The position parameter includes the pitch angle, and the direction parameter includes the pitch angle offset of the clutter direction relative to the target direction.

[0055] In conjunction with the second aspect, in some implementations of the second aspect, the optimization problem is specifically based on the gradient direction determined by the direction parameter, and solving for the set of weights that make the beam pattern function obtain the target gradient value at the position parameter of the target.

[0056] In conjunction with the second aspect, in some implementations of the second aspect, the optimization problem includes one or more of the following constraints:

[0057] The imaginary part of the beam pattern function at the directional parameter of the target is 0;

[0058] The maximum attenuation of the radiation power of the deformation monitoring signal supported by deformation monitoring in the direction of the target;

[0059] The maximum signal-to-noise ratio loss of the deformation monitoring signal supported by deformation monitoring in the target direction;

[0060] The maximum transmission power of this transmission channel;

[0061] The maximum total transmission power of these multiple transmission channels.

[0062] In conjunction with the second aspect, in some implementations of the second aspect, the processing unit is specifically used to acquire multiple candidate target parameters. Specifically, the processing unit is used to determine multiple candidate weight sets based on the multiple candidate target parameters, with each candidate target parameter corresponding one-to-one with the multiple candidate weight sets. The transceiver unit is further used to transmit a detection signal through the multiple transmission channels according to each candidate weight set, and to receive the echo signal of each detection signal to obtain multiple second echo signals. The processing unit is further used to determine the first weight set from the multiple candidate weight sets based on the multiple second echo signals and the target's position parameters.

[0063] In conjunction with the second aspect, in some implementations of the second aspect, the processing unit is specifically configured to sample each of the plurality of second echo signals at a first sampling frequency to obtain a sampled signal corresponding to each echo signal, and to determine the first distance unit where the target is located based on the first sampling frequency and the target's position parameters. The processing unit is further configured to determine the target measurement parameters corresponding to each candidate weight set based on the sampled signals corresponding to the plurality of second echo signals and the first distance unit. The processing unit is also configured to determine the first weight set from the plurality of candidate weight sets based on the target measurement parameters corresponding to each candidate weight set.

[0064] Thirdly, a detection device is provided, including a processor. The processor can implement the methods described in the first aspect and any possible implementation thereof.

[0065] Optionally, the detection device further includes a memory, and the processor is coupled to the memory and can be used to execute instructions in the memory to implement the methods in the first aspect and any possible implementation of the first aspect.

[0066] Optionally, the detection device further includes a communication interface, with the processor coupled to the communication interface. In this embodiment, the communication interface can be a transceiver, pin, circuit, bus, module, or other type of communication interface, and is not limited thereto.

[0067] In one implementation, the detection device is a detection equipment (such as a radar or base station, or other equipment with electromagnetic wave signal transmission capabilities). When the detection device is a detection equipment, the communication interface can be a transceiver, or an input / output interface.

[0068] In another implementation, the detection device is a chip configured within a detection device. When the detection device is a chip configured within a detection device, the communication interface can be an input / output interface.

[0069] Optionally, the transceiver can be a transceiver circuit. Optionally, the input / output interface can be an input / output circuit.

[0070] Fourthly, a processor is provided, comprising: an input circuit, an output circuit, and a processing circuit. The processing circuit is configured to receive signals through the input circuit and transmit signals through the output circuit, causing the processor to execute the methods described in the first aspect and any possible implementation thereof.

[0071] In specific implementation, the processor can be one or more chips, the input circuit can be input pins, the output circuit can be output pins, and the processing circuit can be transistors, gate circuits, flip-flops, and various logic circuits. The input signal received by the input circuit can be received and input by, for example, but not limited to, a receiver, and the signal output by the output circuit can be, for example, but not limited to, output to and transmitted by a transmitter. Furthermore, the input circuit and the output circuit can be the same circuit, which is used as both the input circuit and the output circuit at different times. This application does not limit the specific implementation of the processor and various circuits.

[0072] Fifthly, a computer program product is provided, comprising: a computer program (also referred to as code or instructions) that, when run, causes a computer to perform the methods described in the first aspect and any possible implementation thereof.

[0073] In a sixth aspect, a computer-readable storage medium is provided that stores a computer program (also referred to as code or instructions) that, when executed on a computer, causes the computer to perform the methods described in the first aspect and any possible implementation thereof.

[0074] It should be understood that the beneficial effects of the features corresponding to the first aspect in the second to sixth aspects can be referred to the relevant description of the first aspect above, and will not be repeated here. Attached Figure Description

[0075] Figure 1 This is a schematic diagram of an application scenario of an embodiment of this application;

[0076] Figure 2 This is a schematic diagram of a signal transmission method provided in an embodiment of this application;

[0077] Figure 3 This is a schematic flowchart of a signal transmission method provided in an embodiment of this application;

[0078] Figure 4 This is a schematic flowchart illustrating the determination of a first set of weights provided in an embodiment of this application;

[0079] Figure 5 This is a schematic diagram of an antenna element provided in an embodiment of this application;

[0080] Figure 6 This is a schematic diagram of the azimuth-elevation diagram provided in the embodiments of this application;

[0081] Figure 7 This is another schematic flowchart illustrating the determination of the first set of weights provided in the embodiments of this application;

[0082] Figure 8 This is a schematic block diagram of an example of the monitoring device provided in the embodiments of this application;

[0083] Figure 9 This is a schematic structural diagram of another example of the monitoring device provided in the embodiments of this application. Detailed Implementation

[0084] To facilitate understanding of the embodiments of this application, the following description is provided first:

[0085] In this application, "instruction" can include direct instruction, indirect instruction, explicit instruction, and implicit instruction. When describing a certain instruction information for the purpose of instructing A, it can be understood that the instruction information carries A, directly instructs A, or indirectly instructs A.

[0086] In this application, " / " can indicate that the objects before and after are in an "or" relationship. For example, A / B can mean A or B. "And / or" can be used to describe three relationships between the related objects. For example, A and / or B can mean: A exists alone, A and B exist simultaneously, and B exists alone. A and B can be singular or plural.

[0087] In this application, "at least one" means one or more, and "more than one" means two or more, such as three, four, or more. Similar expressions (such as at least one, at least one, etc.) are used in the same way. "At least one of the following," "one or more of the following," or similar expressions refer to any combination of these items, which may include only a single item or a combination of multiple items. For example, at least one of a, b, or c can mean: a, or b, or c; a and b; or a and c; or b and c; or a, b, and c. Where a, b, and c can be single or multiple.

[0088] In this application, for the convenience of describing the technical solutions of the embodiments of this application, the terms "first" and "second" may be used to distinguish them. The terms "first" and "second" do not limit the quantity or execution order, and the terms "first" and "second" are not necessarily different.

[0089] In this application, the words "exemplary," "example," or "for example" are used to indicate examples, illustrations, or descriptions. Any embodiment or design described as "exemplary," "example," or "for example" should not be construed as being more preferred or advantageous than other embodiments or designs. The use of the words "exemplary," "example," or "for example" is intended to present the relevant concepts in a specific manner to facilitate understanding.

[0090] In this application, "transmitting a signal" only indicates the direction of signal transmission, including direct transmission via the device's communication interface (such as an air interface, or simply air interface). "Transmitting" can also be understood as the "output" of the module interface. "Transmitting" can include indirect transmission by the processing unit through the communication interface, meaning that after the processing unit outputs a signal through the module interface, it is transmitted to the device's communication interface and then transmitted. "Receiving a signal" only indicates the direction of signal transmission, including direct reception via the communication interface. "Receiving" can also be understood as the "input" of the module interface. "Receiving a signal" can include indirect reception by the processing unit through the communication interface, meaning that after the communication interface receives a signal, it is transmitted to the module interface of the processing unit and then input to the processing unit through that module interface. Similar expressions in this application can be understood in a similar way, and will not be elaborated further here.

[0091] Figure 1 This is a schematic diagram of an application scenario 100 of the signal transmission method provided in this application embodiment. For example... Figure 1 As shown, the application scenario 100 may include, but is not limited to, the target to be tested, the target located on the target to be tested and the deformation position to be monitored, and the monitoring device.

[0092] The target to be tested may include, but is not limited to, such as Figure 1The bridge shown is illustrated using a bridge as an example, but this application is not limited to this. The target to be measured could also be other objects such as roads, tracks, or buildings, which require monitoring for deformation.

[0093] The target can be a device with strong electromagnetic wave signal reflection capabilities; for example, the target can be a corner reflector (or simply a corner mirror) or a plane mirror. Figure 1 As shown, the target is located on the target to be monitored at the position where the deformation needs to be monitored, and is used to reflect the deformation monitoring signal.

[0094] The monitoring device is used to transmit deformation monitoring signals. In one implementation, the monitoring device is also used to receive the echo signal of the deformation monitoring signal. Optionally, the monitoring device can monitor the deformation of the target under test based on the echo signal. For example, the monitoring device may include a processing unit, which specifically determines the deformation amount of the target under test based on the echo signal. That is, deformation monitoring can be achieved through a single-base sensing method using a single monitoring device. Alternatively, the monitoring device can be responsible for transmitting the deformation monitoring signal and receiving the echo signal of the deformation monitoring signal. The monitoring device can send the (processed or unprocessed) echo signal to the processing device, which determines the deformation amount of the target under test based on the echo signal of the deformation monitoring signal. That is, the deformation monitoring of the target under test is achieved jointly by the monitoring device and the processing device. In yet another implementation, such as... Figure 1 The application scenario shown can also include another monitoring device ( Figure 1 (not shown in the image), one of the monitoring devices is used to send deformation monitoring signals, i.e., as shown in the image. Figure 1 The monitoring device shown includes another monitoring device for receiving the echo signal of the deformation monitoring signal. The monitoring device receiving the echo signal may include a processing unit that can determine the deformation of the target object based on the echo signal. Alternatively, the monitoring device may send the (processed or unprocessed) echo signal to the processing unit, which then determines the deformation of the target object based on the echo signal. Optionally, as... Figure 1 The application scenarios shown may also include the aforementioned processing device.

[0095] The monitoring device provided in this application embodiment can be applied to radar, base stations in mobile communication systems, or devices capable of transmitting electromagnetic wave signals. For example, the monitoring device can be a radar, or a component of a radar, such as a radar transmitter, a radar transmitter and receiver, or other radar units / modules. As another example, the monitoring device can be a base station, such as a fourth-generation (4G) radar. th generation, 4G), fifth generation (5G) thgeneration, 5G), sixth generation (6G) th The monitoring device can be a base station in a 6G or future mobile communication system, or it can be a component configured in a base station, such as including a transmitter of the base station, or including both a transmitter and a receiver of the base station, or it can also include other units / modules of the base station. Alternatively, the monitoring device can also be a chip, chip system, software, or logic circuit configured in radar, base station, or other communication equipment. This application does not limit the specific implementation of the monitoring device.

[0096] It should be understood that in this application, deformation monitoring may also be referred to as deformation detection or deformation sensing, and deformation monitoring signals may also be referred to as deformation detection signals or deformation sensing signals. This application does not limit the specific name.

[0097] The relevant technologies and terms involved in the embodiments of this application are described below.

[0098] I. Matched Filtering

[0099] Matched filtering is a signal processing technique used in the field of signal processing to extract useful signals from noisy signals, especially from signals where the useful signal is known but subject to additive noise interference. The basic idea of ​​matched filtering is to design a filter whose impulse response is the conjugate and time-reversed form of the signal. When this filter is convolved with the noisy signal, the useful signal component is maximized, while the noise component, due to its randomness, is minimized, thus achieving the extraction of the useful signal.

[0100] II. Beam, Transmit Channel, and Corresponding Weights for Transmit Channels

[0101] Beamforming technology refers to adjusting the amplitude and / or phase of a signal to give it a specific directionality, thereby achieving higher antenna gain. The main lobe of the antenna radiation pattern can be referred to as the beam. In this embodiment, the main lobe of the antenna radiation pattern of the network device's antenna array radiating a deformation monitoring signal can be referred to as the beam of that deformation monitoring signal. Specifically, beamforming technology includes analog beamforming, digital beamforming, and hybrid digital-analog beamforming.

[0102] Analog beamforming technology can transmit signals simultaneously using an antenna array composed of multiple antenna elements. Each antenna element corresponds to a phase shifter. By adjusting the phase of the phase shifter corresponding to each antenna element, the radiated signal through the antenna array can be made directional. Therefore, in analog beamforming technology, an element and its corresponding phase shifter can form a transmission channel. The weights corresponding to each transmission channel can be used to adjust the phase of the phase shifter in that transmission channel. Multiple antenna elements in the antenna array belong to multiple transmission channels.

[0103] Digital beamforming technology has multiple digital processing channels. Each digital processing channel adjusts the parameters (such as phase, or amplitude and phase) of the signal in the digital domain, making the radiated signal radiated by the antenna directional. Therefore, for digital beamforming technology, the multiple transmission channels in the embodiments of this application can be these multiple digital processing channels, and the weight corresponding to each transmission channel is used to realize the parameter adjustment of the signal in the digital domain by the digital processing channel.

[0104] Hybrid beamforming technology combines analog beamforming and digital beamforming technologies, incorporating both multiple digital processing channels and multiple analog phase shifters. Therefore, for hybrid beamforming technology, the multiple transmission channels provided in this application embodiment can be implemented through multiple array elements and their corresponding phase shifters, as well as multiple digital processing channels. The weights corresponding to each transmission channel can be used to adjust the phase, or amplitude and phase, of the signal in that transmission channel.

[0105] The solution provided in this application can adjust the beam shape and / or direction of the deformation monitoring signal using beamforming technology, thereby reducing the energy of the deformation monitoring signal radiated towards clutter and improving the signal-to-clutter ratio of the echo signal, thus enhancing the accuracy of deformation monitoring. Specifically, the solution provided in this application can adjust the beam shape and / or direction of the deformation monitoring signal using at least one of analog beamforming, digital beamforming, or hybrid digital-analog beamforming techniques. In deformation measurement, there may be scatterers with strong scattering power in the environment; these non-target scatterers are called clutter. After the deformation monitoring signal is emitted, it may be reflected not only by the target but also by clutter. Therefore, the echo signal is actually a superposition of the deformation monitoring signal and the clutter signal. Due to the influence of the clutter signal, the phase of the superposition signal changes compared to the deformation monitoring signal, thus affecting the monitoring results. Therefore, to improve the accuracy of deformation monitoring results, it is necessary to minimize the influence of clutter signals as much as possible.

[0106] For relatively stationary clutter (referred to as static clutter), circle fitting and correlation methods are typically used to suppress the clutter signal. When the target under test deforms, the amplitude of the target echo signal remains unchanged, while the phase changes, causing the trajectory of the superimposed signal in the complex plane to appear as an arc. The center of the arc is estimated as the static clutter signal, which can be removed from the superimposed signal, thus eliminating the influence of static clutter on the monitoring results. However, when the deformation of the measured target is small, the phase change of the target echo signal is small, and the arc length formed by the superimposed signal in the complex plane is small, making it difficult to accurately fit a circle, and consequently, difficult to accurately estimate the static clutter signal. Furthermore, the phase change of the target echo signal caused by deformation is inversely proportional to the wavelength. For low-frequency monitoring devices, especially low-frequency communication base stations, the circle fitting method is insufficient to accurately estimate the static clutter signal and separate it from the superimposed signal.

[0107] For moving clutter (called dynamic clutter), frequency filtering is typically used to suppress the clutter signal. The deformation rate of the target under test is relatively slow, generating a lower Doppler frequency, while dynamic clutter generates a higher Doppler frequency. Dynamic clutter can be filtered out by designing a suitable filter. However, according to the Nyquist sampling theorem, spectral aliasing will occur when the sampling rate is insufficient. To avoid spectral aliasing, such methods require the monitoring device to transmit deformation monitoring signals at a high pulse repetition frequency or symbol rate, which places high demands on the hardware of the monitoring device. Especially when the monitoring device is used in a base station, the symbol rate is severely limited because the base station needs to ensure communication services in addition to performing deformation monitoring sensing services.

[0108] This application proposes that by adjusting the shape and / or direction of the deformation monitoring signal beam, the beam energy of the deformation monitoring signal can be concentrated on a relatively open side near the target, and the beam energy can be deviated from the clutter direction. This can reduce the energy of clutter signals in the echo signal, thereby improving the power ratio (i.e., signal-to-clutter ratio) of the deformation monitoring signal to the clutter signal in the echo signal, and thus achieving higher accuracy in monitoring the deformation of the target based on the echo signal.

[0109] For example Figure 2 As shown, when the beam direction of the deformation monitoring signal sent by the monitoring device is pointed towards the target, such as... Figure 2 When beam 1, i.e., the target, is located in the direction of maximum radiation energy of the deformation monitoring signal, the strong energy radiation reaches the bridge. Therefore, traffic flow on the bridge may introduce dynamic clutter signals, and the bridge structure may introduce static clutter signals, making the echo signal significantly affected by clutter signals. Based on the scheme proposed in this application, the shape and / or direction (i.e., energy intensity distribution) of the deformation monitoring signal beam can be adjusted so that the signal energy is more concentrated in the open area on one side of the bridge and less concentrated in the clutter area, such as... Figure 2Beam 2, as shown, improves the signal-to-clutter ratio of the echo signal by reducing the signal energy radiated into the clutter region. This enhances the accuracy of monitoring the deformation of the target based on the echo signal.

[0110] It should be noted that, Figure 2 The present application demonstrates that the beam direction can be adjusted to reduce the signal energy radiated into the clutter region. However, the present application is not limited to this. The present application can adjust the direction and / or shape of the beam to reduce the signal energy radiated into the clutter region, thereby improving the signal-to-clutter ratio and thus improving the deformation monitoring accuracy.

[0111] The technical solutions in this application will now be described in detail with reference to the accompanying drawings.

[0112] Figure 3 This is a schematic flowchart of a signal transmission method provided in an embodiment of this application, which includes, but is not limited to, the following S301 and S302.

[0113] S310, the monitoring device determines a first set of weights, which includes the weights corresponding to each of the multiple transmission channels.

[0114] The monitoring device can determine the weight of each of the multiple transmission channels, obtaining a first weight set. This allows the monitoring device to control the multiple transmission channels to send deformation monitoring signals based on the first weight set. The deformation monitoring signals from these multiple transmission channels form a target beam, where the maximum signal intensity radiation direction does not overlap with the target direction, and the angle of deviation of the maximum signal intensity radiation direction relative to the clutter direction is greater than the angle of deviation of the maximum signal intensity radiation direction relative to the target direction. This reduces the signal energy radiated into the clutter region, thereby improving the signal-to-clutter ratio of the echo signal.

[0115] The specific monitoring device may determine the first set of weights in ways including, but not limited to, method 1 and method 2. Method 1 and method 2 for determining the first set of weights by the monitoring device are described below.

[0116] Method 1: The monitoring device acquires the position parameters corresponding to the clutter direction. Based on the position parameters corresponding to the clutter direction and the target's position parameters, the monitoring device determines a first weight set. For example... Figure 4 As shown, this method 1 may specifically include, but is not limited to, the following steps S401 and S402.

[0117] S401, the monitoring device acquires the position parameters corresponding to the clutter direction.

[0118] The monitoring device provided in this application provides various methods for obtaining the position parameters corresponding to the clutter direction, including but not limited to the following methods 1-1 to 1-3.

[0119] In method 1-1, the monitoring device can acquire the position parameters corresponding to the pre-configured clutter direction.

[0120] The location parameters corresponding to the clutter direction can be pre-configured in the monitoring device. For example, after the developers of the monitoring device obtain the location parameters corresponding to the clutter direction through measurement, they can pre-configure these parameters in the monitoring device. Alternatively, developers can use measuring equipment such as a total station to measure the clutter and determine the location parameters corresponding to the clutter direction, thus pre-configuring them in the monitoring device. Specifically, the monitoring device's storage module can store the location parameters corresponding to the clutter direction, and the monitoring device can retrieve these location parameters from the storage module.

[0121] In methods 1-2, the monitoring device obtains the position parameters corresponding to the clutter direction through the communication interface.

[0122] The monitoring device needs to obtain the target's position parameters to determine the first weight set. These position parameters can be pre-configured in the monitoring device; for details, please refer to the previous section on pre-configuring position parameters corresponding to clutter directions in the monitoring device, which will not be repeated here. Alternatively, the target's position parameters can also be obtained through a communication interface. The following describes how the monitoring device obtains position parameters through a communication interface, and also introduces how to obtain the target's position parameters through a communication interface. If the target's position parameters are obtained by the monitoring device through a communication interface, the implementation below can be referenced. It should be understood that the target's position parameters can also be pre-configured in the monitoring device; this application does not specifically limit the method of obtaining the target's position parameters.

[0123] For example, the communication interface may be an application layer interface, air interface, or application programming interface (API) of the monitoring device, which can obtain parameters.

[0124] For example, the monitoring device can be applied to a base station, meaning the base station can support deformation monitoring services, or in other words, provide deformation monitoring services. In the base station's deformation monitoring service process, the base station can obtain location parameters through an application layer interface. These location parameters include location parameters corresponding to the clutter direction and / or the target's location parameters. These location parameters can be set by the user through an application program.

[0125] Optionally, the position parameters obtained by the monitoring device through the communication interface can be coordinate parameters or position vectors. These position parameters can be position parameters in a preset coordinate system.

[0126] For example, the preset coordinate system can be a coordinate system defined with reference to an antenna element (referred to as the antenna element coordinate system), where the antenna element includes multiple antenna array elements, each belonging to one of the aforementioned multiple transmission channels. For instance, the antenna element coordinate system can be as follows: Figure 5 As shown, the center position of the antenna element can be used as the origin of the coordinate system. The X-axis is perpendicular to the antenna element, and the Y-axis and Z-axis are perpendicular to the antenna element plane.

[0127] It should be understood that the embodiments of this application are illustrated using a two-dimensional antenna array as an example, but it should be understood that this application is not limited thereto, and the antenna element can also be a one-dimensional array.

[0128] The position parameters acquired by the monitoring device can be coordinate parameters. For example, the monitoring device can acquire the position coordinates of the target in the antenna element coordinate system, denoted as (x... T ,y T ,z T If ), then the target's position vector n in the antenna element coordinate system is... Pt It can be written as [x T ,y T ,z T ] T And the position coordinates of the antenna element in the clutter direction, denoted as (x C ,y C ,z C If the clutter direction corresponds to the position vector n in the antenna element coordinate system, then... Pc It can be written as [x C ,y C ,z C ] T It should be noted that the distance cell where the target is located may include one or more scatterers that reflect clutter signals. In the embodiments of this application, the position coordinates corresponding to the clutter direction may be equivalent position coordinates determined based on the positions of the one or more scatterers, such as the position coordinates of the equivalent center point calculated geometrically, or the coordinates of the scatterer that is closest to the center point among the one or more scatterers. This application does not limit this.

[0129] It should be understood that the preset coordinate system is not limited to the antenna element coordinate system. For example, the preset coordinate system can also be the global coordinate system (GCS) or the northeast-northeast coordinate system (also known as the station center coordinate system). This application does not limit the specific coordinate system. In specific implementation, the monitoring device only needs to be able to correctly understand the coordinate system obtained through the communication interface.

[0130] When the preset coordinate system is not the antenna element coordinate system, the monitoring device can obtain the position vector in the antenna element coordinate system based on the position parameters after acquiring them. For example, taking the preset coordinate system as the Northeast-Northeast coordinate system, the position coordinates of the center of the antenna element in the Northeast-Northeast coordinate system are denoted as (x... A ,y A ,z A The angle between the normal direction of the antenna element and the due east direction is denoted as φ. A The downtilt angle of the antenna element in the northeast-northeast coordinate system is denoted as θ. A .

[0131] The monitoring device can determine the target's position coordinates (x, y, y) in the northeast-northeast coordinate system based on the information obtained through the communication interface. T ,y T ,z T The position vector n of the target in the antenna element coordinate system is calculated. Pt For example, n Pt It can be represented as:

[0132]

[0133] Among them, R y (·) is a rotation matrix about the y-axis, for example, R y (·) can be represented as

[0134]

[0135] R z (·) is the rotation matrix about the z-axis. For example, R z (·) can be represented as

[0136]

[0137] Similarly, the monitoring device can determine the position coordinates (x, y) of the clutter direction in the northeast-northeast coordinate system based on the clutter direction obtained through the communication interface. C ,y C ,z C The position vector n of the clutter direction in the antenna element coordinate system is calculated. Pc For example, n Pc It can be represented as:

[0138]

[0139] After obtaining the target's position vector in the antenna element coordinate system, the monitoring device can determine the target's azimuth angle φ in the antenna element coordinate system using this position vector. Pt and pitch angle θ Pt For example, φ Pt θPt These can be represented as follows:

[0140] φ Pt =atan2([n Pt ] y ,[n Pt ] x ),

[0141]

[0142] Here, arccos(a) represents solving for the arccosine value of a. [n Pt ] x 、[n Pt ] y 、[n Pt ] z Representing vector n respectively Pt The x, y, and z coordinates in the antenna element coordinate system, atan2(·,·) are defined as follows:

[0143]

[0144] Here, arctan(a) represents solving for the arctangent value of a.

[0145] After obtaining the position vector of the clutter direction in the antenna element coordinate system, the monitoring device can determine the azimuth angle φ of the clutter direction in the antenna element coordinate system based on this position vector. Pc and pitch angle θ Pc For example, φ Pc θ Pc These can be represented as follows:

[0146] φ Pc =atan2([n Pc ] y ,[n Pc ] x )

[0147]

[0148] Among them, [n Pc ] x 、[n Pc ] y 、[n Pc ] z Representing vector n respectively Pc The x, y, and z coordinates in the antenna element coordinate system.

[0149] The above describes the position parameters obtained by the monitoring device through the communication interface as position coordinates in a preset coordinate system. The monitoring device can obtain the azimuth and elevation angles of the target and clutter direction in the antenna element coordinate system based on the target's position coordinates and the position coordinates corresponding to the clutter direction, respectively. It should be understood that this application is not limited to this; the position parameters obtained by the monitoring device through the communication interface may include azimuth and elevation angles. For example, the target's position parameters obtained by the monitoring device may include the target's azimuth and elevation angles in the preset coordinate system, and / or the position parameters corresponding to the clutter direction obtained by the monitoring device may include the azimuth and elevation angles corresponding to the clutter direction in the preset coordinate system. When the preset coordinate system is not the antenna element coordinate system, after obtaining the position parameters including azimuth and elevation angles, the monitoring device can convert them to the azimuth and elevation angles in the antenna element coordinate system.

[0150] In methods 1-2, the monitoring device acquires the position parameters corresponding to the clutter direction, including: the monitoring device sending a detection signal; the monitoring device receiving the echo signals of the detection signal through multiple transmission channels to obtain multiple first echo signals; and the monitoring device determining the position parameters corresponding to the clutter direction based on the multiple first echo signals.

[0151] Optionally, the monitoring device sends a detection signal, including: the monitoring device sends the detection signal when the target is obscured or the target does not exist.

[0152] For example, the monitoring device can obtain trigger information through a communication interface, which is used to trigger the monitoring device to send a detection signal. Upon receiving the trigger information, the monitoring device sends the detection signal. Upon receiving the trigger information, the monitoring device can assume that the target has been obscured or that the target does not exist.

[0153] Optionally, the target can be shielded by a microwave absorbing material. Shielding the target with a microwave absorbing material can prevent the target from radiating electromagnetic waves. Furthermore, the microwave absorbing material can absorb electromagnetic waves, thus preventing the introduction of new clutter into the target location after shielding.

[0154] The monitoring device can transmit the detection signal omnidirectionally, meaning it can transmit the signal without using beamforming technology. Alternatively, the monitoring device can transmit the detection signal with a wider beam, allowing the signal to cover a larger area around the target.

[0155] The monitoring device receives the echo signal of the detection signal through each of the multiple transmission channels to obtain multiple first echo signals. Based on the multiple first echo signals, the monitoring device can determine the position parameters corresponding to the clutter direction. Specifically, the monitoring device determines the position parameters corresponding to the clutter direction based on the target position parameters and the multiple first echo signals.

[0156] For example, monitoring device control Figure 5 In the antenna unit shown, each array element corresponds to a transmission channel that receives the echo signal of the probe signal. It should be noted that in this embodiment, the transmission channel refers to the transmission channel that sends deformation monitoring signals. In methods 1-2, the transmission channel can receive the echo signal of the probe signal. When the transmission channel receives a signal, it can also be called a receiving channel, or it can also be called a transceiver channel. Figure 5 The antenna elements shown have N array elements distributed along the Y-axis. Y The number of array elements distributed along the Z-axis is N. Z It contains N Y N Z Each array element. The N Y N Z Each array element belongs to N Y N Z One transmission channel, the N Y N Z Each transmission channel receives the echo signal from the detection signal, and the monitoring device can obtain N. Y N Z The first echo signal. Among them, the nth echo signal along the Y-axis direction. y The nth one along the Z-axis direction z Each array element is denoted as array element (n). y n z ), the array element (n y n z The launch channel where ) is located is denoted as launch channel (n). y n z ), the launch channel (n y n z The first echo signal received can be denoted as

[0157] For example, the monitoring device can be applied to a base station, and the antenna unit can be an active antenna unit (AAU) of the base station. Alternatively, the monitoring device can be applied to a radar, and the antenna unit can be a radar antenna. However, this application is not limited to these, and the antenna unit can also be other antenna units capable of radiating electromagnetic wave signals.

[0158] Optionally, the monitoring device can sample each of the multiple first echo signals at a first sampling frequency to obtain a sampled signal corresponding to each echo signal. The monitoring device then determines the first distance unit where the target is located based on the first sampling frequency and the target's position parameters. The monitoring device determines the position parameters corresponding to the clutter direction, which are the position parameters corresponding to the strongest energy in the correspondence between the position parameters and energy of the first distance unit. This correspondence is determined based on the sampled signals corresponding to the multiple first echo signals and the first distance unit.

[0159] For example, the monitoring device at time t k For each first echo signal, k = 0, 1, ..., samples are taken at a frequency of f. s Then for the first echo signal The sampled signal obtained by sampling can be denoted as For example, It can be represented as:

[0160]

[0161] The monitoring device can perform matched filtering on each sampled signal to obtain the matched filtering result for each sampled signal, such as the sampled signal. The matched filtering result can be denoted as The monitoring device calculates the radial distance between the target and the antenna element based on the target's position parameters in the antenna element coordinate system. For example, this position parameter can be a position vector n. Pt Then the radial distance between the target and the antenna element can be expressed as |n Pt |,|·| represents the modulo value.

[0162] The monitoring device can also be adjusted according to the sampling frequency f s The first distance cell where the target is located is determined. For example, the index of the first distance cell can be represented as:

[0163]

[0164] Where c is the speed of light, c / f s It can be considered as the difference in the round-trip propagation distance between the sampled signals obtained at adjacent times. The index of the distance cell where the target is located can be obtained by dividing the radial distance between the target and the antenna element by this difference in propagation distance.

[0165] The monitoring device can acquire N Y N Z Each of the first echo signals at time [time] The corresponding matched filter result, i.e. at time 10:00 The sampled signal is then subjected to matched filtering to obtain the matched filtering result. For example, for the transmit channel (n) y n z (This can obtain the time) The sampled signal obtained by sampling Matched filtering results N monitoring signals were acquired Y N Z The matched filtering result corresponding to the first distance unit in each of the first echo signals is used to obtain a total of N matching filtering results corresponding to the first distance unit. Y N Z The matched filter results are used by the monitoring device based on N. Y N Z The matched filtering results yield a correspondence between position parameters and energy, which is then used to determine the position parameters of the clutter signal. Specifically, the monitoring device can determine the position parameters of the clutter signal based on this correspondence. Y N Z The matched filtering results are used to obtain the correspondence using an angle estimation algorithm. Therefore, the position parameter can be an angle parameter, and the correspondence can specifically be a correspondence between the angle parameter and energy.

[0166] For example, the angle estimation algorithm used by the monitoring device can be an iterative adaptive approach (IAA) algorithm. The monitoring device can estimate the angle based on the N... Y N Z The matched filter results are used to calculate the azimuth-elevation map corresponding to the first range cell using the IAA algorithm. This azimuth-elevation map can be denoted as:

[0167]

[0168] Where φ∈Φ, θ∈Θ, Φ is a preset set of azimuth angles, and Θ is a preset set of elevation angles. The azimuth-elevation diagram can also be called a two-dimensional angle diagram or a two-dimensional angle spectrum. Figure 6 This is an example of an azimuth-elevation map obtained using the IAA algorithm, where the preset azimuth angle set Φ = {-90°, -89°, ..., 0°, 1°, ..., 89°, 90°} and the preset elevation angle set Θ = {-15°, -14°, ..., 0°, 1°, ..., 14°, 15°}. Figure 6The azimuth-elevation diagram shown specifically illustrates the correspondence between elevation angle, azimuth angle, and AE(φ, θ) amplitude, with the amplitude unit being decibels (dB). Amplitude characterizes energy. The point of strongest energy in the azimuth-elevation diagram can be considered the point of strongest clutter signal energy near the first range cell. The monitoring device can obtain the azimuth and elevation angles corresponding to the point of strongest energy in the azimuth-elevation diagram as the azimuth angle φ corresponding to the clutter direction. Pc and pitch angle θ Pc That is, the positional parameters corresponding to the clutter direction determined by the monitoring device include the azimuth angle φ. Pc and pitch angle θ Pc .like Figure 6 In the example, the amplitude corresponding to the point of strongest energy in the azimuth-elevation plot of the first range unit is 32 dB, and the azimuth angle corresponding to this point of strongest energy is 20°, while the elevation angle is -4°. Therefore, the monitoring device can determine the azimuth angle φ corresponding to the clutter direction. Pc =20° and pitch angle θ Pc = -4°.

[0169] The above describes different ways for the monitoring device to obtain the position parameters corresponding to the clutter direction. After the monitoring device obtains the position parameters corresponding to the clutter direction, it can execute S402.

[0170] S402, the monitoring device determines the first weight set based on the position parameters corresponding to the clutter direction and the position parameters of the target.

[0171] Specifically, the monitoring device can determine the directional parameters of the clutter direction relative to the target direction based on the position parameters corresponding to the clutter direction and the target position parameters. Based on the directional parameters and the beam pattern functions corresponding to multiple transmission channels, the monitoring device constructs an optimization problem to solve for the weight sets corresponding to multiple transmission channels, thus obtaining the first weight set.

[0172] In one embodiment, the direction parameter includes an azimuth offset of the clutter direction relative to the target direction, which can be expressed as φ. Pt -φ Pc The directional parameters may also include the pitch angle offset of the clutter direction relative to the target direction, which can be expressed as θ. Pt -θ Pc .

[0173] After obtaining the directional parameters, the monitoring device can construct an optimization problem to solve the weight set corresponding to multiple transmission channels based on the directional parameters and the beam pattern function corresponding to multiple transmission channels, thereby obtaining the first weight set.

[0174] like Figure 5 As shown, the spacing between adjacent elements in the antenna element along the Y-axis is d.Y The spacing along the Z-axis is d. z The wavelength of the deformation monitoring signal emitted by the antenna element is λ. For example, the beam pattern function F(φ, θ) can be expressed as follows:

[0175]

[0176] in, The nth digit along the Y-axis direction y The nth element along the Z-axis direction z The weights corresponding to the transmission channels where each array element is located. Represents the complex number Find the conjugate. Let u be the guiding vector along the Y-axis, and u = sinφ. Let v be the guiding vector along the Z-axis, where v = sinθ.

[0177] Optionally, the optimization problem is specifically to solve for a set of weights that make the beam pattern function obtain the target gradient value at the position parameter of the target, based on the gradient direction determined by the direction parameter.

[0178] Based on this direction parameter, the monitoring device can determine the gradient direction α of the clutter direction relative to the target direction. For example, α can be expressed as:

[0179] α=atan2(θ Pt -θ Pc , φ Pt -φ Pc ).

[0180] In one implementation, the monitoring device determines the direction parameter based on the position parameters corresponding to the clutter direction and the target position parameters; this direction parameter can also be the gradient direction α. ​​This application limits this to a specific implementation.

[0181] For example, the optimization problem can be a convex optimization problem of the weights corresponding to the transmission channels. The monitoring device can obtain a first set of weights corresponding to the multiple transmission channels by solving the convex optimization problem of the weights corresponding to the multiple transmission channels. For example, the convex optimization problem can be expressed as follows:

[0182]

[0183]

[0184] Where w is the optimization variable of the optimization problem, and w includes N Y N ZThe weights corresponding to each transmission channel in the transmission channels. Re(·) represents taking the real part of the complex number, and Im(·) represents taking the imaginary part of the complex number. st represents the constraint (or constraint condition) that needs to be satisfied. This convex optimization problem may include at least one constraint. It should be understood that the three constraint terms listed above are only examples, and this application does not limit the number of constraint terms or their specific meanings. Optionally, the optimization problem includes one or more of the following constraint terms:

[0185] The imaginary part of the beam pattern function at the target's directional parameter is 0;

[0186] The maximum attenuation of the radiation power of the deformation monitoring signal in the target direction supported by deformation monitoring;

[0187] The maximum signal-to-noise ratio loss of the deformation monitoring signal in the target direction supported by deformation monitoring;

[0188] Maximum transmission power of the transmission channel;

[0189] Maximum total transmission power of multiple transmission channels.

[0190] Among the constraints listed above, δ can be the maximum attenuation of the radiated power of the deformation monitoring signal supported by deformation monitoring in the target direction, or δ can be the maximum loss of the signal-to-noise ratio of the deformation monitoring signal supported by deformation monitoring in the target direction. For example, if the maximum loss of the signal-to-noise ratio of the deformation monitoring signal supported by deformation monitoring in the target direction is 6 dB, then...

[0191] Among the constraints listed above, The physical meaning of this constraint is the total power of the deformation monitoring signal transmitted by the antenna element. Specifically, it can be replaced according to the hardware constraints in the implementation. For example, if the hardware constraint is the maximum transmit power of a single transmit channel, then this constraint can be replaced with...

[0192] The monitoring device can obtain a first weight set by solving an optimization problem, which includes N. Y N Z Each weight, i.e., N Y N Z The weights corresponding to each transmission channel in the N transmission channels. For example, if the original signal of the deformation monitoring signal is s(t), then through this N... Y N Z The deformation monitoring signals transmitted by each transmission channel are Where y is the scaling factor.

[0193] If, in specific implementation, the hardware constrains the total transmission power of the deformation monitoring signal to be P... total That is, the maximum total transmission power of multiple transmission channels.

[0194] If, in specific implementation, the hardware constrains the transmission power of each transmission channel to transmit deformation monitoring signals to be P... channel That is, the maximum transmission power of a transmission channel.

[0195] The above example, using the target gradient value as the maximum gradient value, illustrates how solving the optimization problem yields weights corresponding to the target gradient value, which are then used as weights for the transmission channels. It should be understood that this application is not limited to this; the target gradient value can also be other suboptimal gradient values, and the weights corresponding to the transmission channels can be the weights corresponding to these suboptimal gradient values. The weights of multiple transmission channels determined based on this target gradient value can deflect the wave velocity direction of the deformation monitoring signal from the clutter direction, thereby improving the signal-to-clutter ratio of the echo signal.

[0196] The above describes method 1 for the monitoring device to determine the first set of weights. The following describes another method, method 2, for the monitoring device to determine the first set of weights.

[0197] Method 2: The monitoring device acquires multiple candidate target parameters. Based on these parameters, the device determines multiple candidate weight sets, with each set corresponding one-to-one. Through multiple transmission channels, the device sends detection signals according to each candidate weight set and receives the echo signals from each signal, resulting in multiple second echo signals. Based on these second echo signals and the target's position parameters, the device determines a first weight set from the candidate weight sets. For example... Figure 7 As shown, this method 2 may specifically include, but is not limited to, the following steps S701 to S704.

[0198] S701, the monitoring device acquires parameters of multiple candidate targets.

[0199] For example, the candidate target parameter is a candidate clutter position parameter. Alternatively, the candidate target parameter is a direction parameter representing the offset of the clutter direction relative to the target direction.

[0200] S702, the monitoring device determines multiple candidate weight sets based on multiple candidate target parameters, and these multiple candidate weight sets correspond one-to-one with multiple candidate clutter positions.

[0201] In one example, the candidate target parameter is the candidate clutter position parameter.

[0202] For example, the monitoring device acquires N α There are 10 candidate clutter position parameters, each candidate clutter position parameter including the azimuth angle of the candidate clutter direction. and pitch angle Where, n α=1,2,...,N α .

[0203] The monitoring device can determine N based on the position parameters of each of the Nα candidate clutter positions and the position parameters of the target. α There are n directional parameters, each of which can include azimuth offset and pitch offset, where the nth directional parameter is... α The azimuth offset included in the directional parameters can be expressed as: The pitch angle offset can be expressed as The monitoring device is based on N α Each orientation parameter in the nth orientation parameter can determine the gradient direction of the clutter direction relative to the target direction, such as the nth orientation parameter. α The gradient direction is determined by the given directional parameters. For example, It can be represented as:

[0204]

[0205] Alternatively, the monitoring device is based on N α For each candidate clutter position parameter among the candidate clutter position parameters and the target position parameter, the determined N... α The directional parameters are N. α For example, the monitoring device can determine the corresponding gradient direction based on the above formula, according to the azimuth and elevation angles contained in the position parameters of each candidate clutter and the azimuth and elevation angles contained in the position parameters of the target.

[0206] In another example, the candidate target parameter is a directional parameter representing the offset of the clutter direction relative to the target direction. For example, the candidate target parameter is the gradient direction. For instance, the monitoring device acquires N... α Each gradient direction, i.e.

[0207] The monitoring device is based on this N α For each gradient direction, and the beam pattern function corresponding to the multiple transmission channels used to transmit deformation monitoring signals, an optimization problem is constructed to solve for the weight set corresponding to the multiple transmission channels. This yields the candidate weight set corresponding to each gradient direction, i.e., N. α There are n candidate weight sets, and each candidate weight set contains n transmission channels. y n z The corresponding weights are denoted as follows:

[0208] Specifically, the method for obtaining each candidate weight set can refer to the specific implementation method for obtaining the first weight set based on the gradient direction and the beam pattern function corresponding to multiple transmission channels introduced in Method 1 above, which will not be repeated here.

[0209] S703, the monitoring device controls multiple transmission channels, sends detection signals according to each candidate weight set, and receives echo signals to obtain multiple second echo signals.

[0210] If the original signal of the deformation monitoring signal is s(t), then through this N Y N Z The deformation monitoring signal transmitted through the nth candidate weight set is as follows: in, The scaling factor is n = 1, 2, ..., N. α .

[0211] The monitoring device sends N based on each candidate weight set. total The detection signal is used to obtain N corresponding to each candidate weight set. total The second echo signal, the monitoring device is based on N α The set of candidate weights can yield N α N total The second echo signal.

[0212] In one example, the monitoring device can be based on N α A set of candidate weights is used to send multiple rounds of detection signals and receive corresponding echo signals. Each round of detection signal includes signals based on N... α The detection signal is sent by each candidate weight set in the N candidate weight sets. The monitoring device can be based on N α A set of candidate weights, repeatedly sent N times. total Wheel detection signal.

[0213] In another example, the monitoring device can continuously send N data based on a candidate weight set. total After the first detection signal, N signals are continuously sent based on the next candidate weight set. total Secondary detection signal.

[0214] The monitoring device can specifically control multiple transmission channels to transmit probe signals at different times. For example, probe signals transmitted based on different candidate weight sets can be carried on different time-domain units. Exemplarily, a time-domain unit can be a time-domain symbol, a time slot, a subframe, or a frame. Multiple transmission channels may transmit a probe signal in the first time-domain unit, the next probe signal in the second time-domain unit, and so on. However, this application is not limited to this; adjacent probe signals can also be spaced apart by multiple time-domain units.

[0215] S704, the monitoring device determines the first weight set from multiple candidate weight sets based on multiple second echo signals and target position parameters.

[0216] Specifically, the monitoring device determines a first weight set from multiple candidate weight sets based on multiple second echo signals and the target's position parameters. This includes: the monitoring device sampling each of the multiple second echo signals at a first sampling frequency to obtain a sampled signal corresponding to each second echo signal; the monitoring device determining a first distance unit where the target is located based on the first sampling frequency and the target's position parameters; the monitoring device determining the target measurement parameters corresponding to each candidate weight set based on the sampled signals corresponding to the multiple second echo signals and the first distance unit; and the monitoring device determining the first weight set from multiple candidate weight sets based on the target measurement parameters corresponding to each candidate weight set.

[0217] For example, for each second echo signal, the monitoring device uses a sampling frequency f s After sampling to obtain the sampled signal, matched filtering is performed on the sampled signal to obtain the matched filtering result. The matched filtering result corresponding to the first distance cell where the target is located is then obtained from the matched filtering result. Using an angle estimation algorithm, the azimuth-elevation map corresponding to the first distance cell is obtained based on the matched filtering result. The specific method for obtaining the azimuth-elevation map corresponding to the first distance cell can be referred to the method described in Methods 1-2 above, and will not be repeated here. After obtaining the azimuth-elevation map corresponding to the first distance cell, the monitoring node can obtain the complex signal AE(φ) of the observed target based on the target's position parameters and the azimuth-elevation map. Pt θ Pt The phase of ). For example, for multiple transmit channels, based on the nth candidate weight set, N are transmitted. total N obtained from the detection signals total The monitoring device can obtain the N-value of the target's complex signal from the second echo signal. total Each phase is denoted as... And for N α With a set of candidate weights, we can obtain N α N total Each phase.

[0218] The monitoring device can select a target index f(·) and calculate the target index corresponding to each candidate weight set. For example, the target index corresponding to the nth candidate weight set can be denoted as f(·). The monitoring device can be based on target indicators, in N α The first weight set is determined from the candidate weight sets.

[0219] For example, the target metric could be phase stability or the target metric could be sequence. The standard deviation of the gradient. The monitoring device can determine the optimal gradient direction α. opt For example, the αopt It can satisfy:

[0220]

[0221] The first set of weights determined by the monitoring device is α. opt The corresponding weight set, the first weight set includes the transmission channels (n) y n z The corresponding weight

[0222] The above describes method 2 for determining the first weight set. After determining the first weight set corresponding to multiple transmission channels in S310, the monitoring device executes S320.

[0223] S320, the monitoring device controls the multiple transmission channels to send deformation monitoring signals according to the first weight set. These deformation monitoring signals are used to monitor the deformation of the target under test. The maximum signal intensity radiation direction of the deformation monitoring signal does not overlap with the target direction, and the angle of deviation of the maximum signal intensity radiation direction relative to the clutter direction is greater than the angle of deviation relative to the target direction. The target is located at the position of the deformation to be monitored on the target under test.

[0224] For example, the monitoring device controls N Y N Z Each of the n transmission channels sends deformation check signals according to the first weight set. y n z Based on the weights obtained using method 1 above Or the weights obtained based on method 2 above. The deformation monitoring signal is transmitted. This causes the deformation monitoring signals transmitted from the multiple transmission channels to form a target beam. The maximum signal intensity radiation direction of this target beam does not overlap with the target direction, and the angle of offset of the maximum signal intensity radiation direction relative to the clutter direction is greater than the angle of offset relative to the target direction. This reduces the signal energy radiated into the clutter region, thereby improving the signal-to-clutter ratio of the echo signal.

[0225] It should be understood that in the embodiments of this application, "send" and "transmit" can be used interchangeably. For example, a transmission channel can also be called a transmission channel, and sending a deformation monitoring signal can also be used interchangeably as transmitting a deformation monitoring signal. Specifically, sending a deformation monitoring signal can be understood as radiating the deformation monitoring signal into the wireless channel through multiple transmission channels.

[0226] Optionally, the monitoring device determines the deformation of the target object based on the echo signal of the deformation monitoring signal.

[0227] The monitoring device can determine the deformation of the target under test based on the echo signal. For example, if the deformation is 0 or approximately 0, it means that the target under test has not deformed. If the deformation is a non-zero value or a value that cannot be approximated as 0, it is considered that the target under test has deformed. The degree of deformation of the target under test can be determined based on the deformation.

[0228] In one example, the monitoring device can control the antenna unit to send deformation monitoring signals and receive the echo signals of the deformation monitoring signals. Based on the received echo signals, the device determines the deformation of the target under test, or in other words, monitors the deformation of the target under test. That is, the monitoring device can control the same antenna unit to send deformation monitoring signals and receive the echo signals of the deformation monitoring signals. In a specific implementation, the monitoring device can be a monitoring equipment, which includes the antenna unit. Alternatively, the monitoring device can be a component of a monitoring equipment (such as a chip, chip system, logic circuit, or software), which also includes the antenna unit. For example, the monitoring equipment can be a radar or base station, or other devices capable of radiating electromagnetic waves. This application does not limit this.

[0229] In another example, the monitoring device can control one antenna unit to transmit deformation monitoring signals and control another antenna unit to receive the echo signals of the deformation monitoring signals, and determine the deformation of the target under test based on the received echo signals, or in other words, monitor the deformation of the target under test. That is, the monitoring device can control different antenna units to transmit deformation monitoring signals and receive the echo signals of the deformation monitoring signals respectively. In a specific implementation, the monitoring device can be a monitoring equipment that includes the two antenna units mentioned above, or the monitoring device and the two antenna units can be components of the same monitoring equipment.

[0230] In another example, the monitoring device may only control the antenna element to transmit deformation monitoring signals, while another device or equipment may receive the echo signals and perform deformation monitoring based on the echo signals. That is, in this example, the monitoring device may only be used to control the transmission of deformation monitoring signals, without being responsible for receiving echo signals or performing deformation monitoring.

[0231] According to the above scheme, by adjusting the beam shape and / or direction of the deformation monitoring signal, the beam energy of the deformation monitoring signal is concentrated on the relatively open side near the target, and the beam energy deviates from the clutter direction. This can reduce the energy of the clutter signal in the echo signal, thereby improving the power ratio (i.e., signal-to-clutter ratio) of the deformation monitoring signal to the clutter signal in the echo signal, and thus achieving higher accuracy in deformation monitoring based on the echo signal.

[0232] It is understood that, in order to achieve the functions in the above embodiments, the monitoring device includes hardware structures and / or software modules corresponding to the execution of each function. Those skilled in the art should readily recognize that, based on the units and method steps described in conjunction with the embodiments disclosed in this application, this application can be implemented in hardware or a combination of hardware and computer software. Whether a function is executed in hardware or by computer software driving hardware depends on the specific application scenario and design constraints of the technical solution.

[0233] Figure 8 and Figure 9 This is a schematic diagram of the structure of a possible monitoring device provided for embodiments of this application. These monitoring devices can be used to implement the functions of the monitoring devices in the above method embodiments, and therefore can also achieve the beneficial effects of the above method embodiments. In the embodiments of this application, the monitoring device can be as follows: Figure 1 The monitoring device shown can also be a module (such as a chip or chip system) applied to monitoring equipment.

[0234] The monitoring device 800 includes a transceiver unit 820, which can be used to receive or send information. The monitoring device 800 may also include a processing unit 810, which can be used to process instructions or data to achieve corresponding operations.

[0235] It should be understood that when the monitoring device 800 is a chip configured in (or used in) a communication device, the transceiver unit 820 in the monitoring device 800 can be the input / output interface or circuit of the chip, and the processing unit 810 in the monitoring device 800 can be the processor in the chip.

[0236] Optionally, the monitoring device 800 may further include a storage unit 830, which can be used to store instructions or data, and the processing unit 810 can execute the instructions or data stored in the storage unit to enable the monitoring device to perform corresponding operations.

[0237] The monitoring device 800 can be used to achieve the above. Figure 3 , Figure 4 and Figure 7 The method embodiment shown illustrates the function of the monitoring device.

[0238] When monitoring device 800 is used to achieve Figure 3 , Figure 4 and Figure 7In the method embodiment shown, the monitoring device functions as follows: a processing unit 810 is used to determine a first weight set, which includes the weight corresponding to each of the multiple transmission channels. A transceiver unit 820 is used to transmit a deformation monitoring signal through the multiple transmission channels according to the first weight set. The deformation monitoring signal is used to monitor the deformation of the target under test. The maximum signal intensity radiation direction of the deformation monitoring signal does not overlap with the target direction, and the angle of deviation of the maximum signal intensity radiation direction relative to the clutter direction is greater than the angle of deviation relative to the target direction. The target is located at the position of the deformation to be monitored on the target under test.

[0239] In one alternative implementation, the processing unit 810 is further configured to determine the deformation of the target under test based on the echo signal of the deformation monitoring signal.

[0240] In one optional implementation, the transceiver unit 820 is used to acquire the position parameters corresponding to the clutter direction. The processing unit 810 is specifically used to determine the first weight set based on the position parameters corresponding to the clutter direction and the position parameters of the target.

[0241] In one optional implementation, the transceiver unit 820 is further configured to transmit a probe signal. The processing unit 810 is specifically configured to receive the echo signals of the probe signal through the plurality of transmission channels to obtain a plurality of first echo signals. The processing unit 810 is specifically configured to determine the position parameters corresponding to the clutter direction based on the plurality of first echo signals.

[0242] In one alternative implementation, the transceiver unit 820 is specifically used to send the detection signal when the target is obscured or the target does not exist.

[0243] In one alternative implementation, the processing unit 810 is specifically used to determine the position parameters corresponding to the clutter direction based on the position parameters of the target and the plurality of first echo signals.

[0244] In one optional implementation, the processing unit 810 is specifically configured to sample each of the plurality of first echo signals at a first sampling frequency to obtain a sampled signal corresponding to each echo signal, and to determine the first distance unit where the target is located based on the first sampling frequency and the target's position parameters. Specifically, the processing unit 810 is configured to determine the position parameters corresponding to the clutter direction, which are the position parameters corresponding to the strongest energy in the correspondence between the position parameters and energy corresponding to the first distance units. This correspondence is determined based on the sampled signals corresponding to the plurality of first echo signals and the first distance unit.

[0245] In one optional implementation, the processing unit is specifically configured to acquire multiple matched filtering results, including the matched filtering result corresponding to the first distance unit from the matched filtering results of the sampled signal corresponding to each of the multiple first echo signals. The processing unit is specifically configured to obtain the correspondence between position parameters and energy based on the multiple matched filtering results. The processing unit is specifically configured to determine the first position parameter corresponding to the strongest energy in the correspondence, where the first position parameter is the position parameter corresponding to the clutter direction.

[0246] In one alternative implementation, the transceiver unit 820 is specifically used to obtain the position parameters corresponding to the clutter direction through the communication interface.

[0247] In one optional implementation, the processing unit 810 is specifically used to determine the direction parameter of the clutter direction relative to the target direction based on the position parameter corresponding to the clutter direction and the position parameter of the target. The processing unit 810 is also specifically used to construct an optimization problem for solving the weight set corresponding to the multiple transmission channels based on the direction parameter and the beam pattern function corresponding to the multiple transmission channels, thereby obtaining the first weight set.

[0248] In one alternative implementation, the position parameter includes an azimuth angle, and the direction parameter includes an azimuth angle offset of the clutter direction relative to the target direction; and / or, the position parameter includes an elevation angle, and the direction parameter includes an elevation angle offset of the clutter direction relative to the target direction.

[0249] In one alternative implementation, the optimization problem is specifically based on the gradient direction determined by the direction parameter, and solving for the set of weights that make the beam pattern function obtain the target gradient value at the position parameter of the target.

[0250] In one alternative implementation, the optimization problem includes one or more of the following constraints:

[0251] The imaginary part of the beam pattern function at the directional parameter of the target is 0;

[0252] The maximum attenuation of the radiation power of the deformation monitoring signal supported by deformation monitoring in the direction of the target;

[0253] The maximum signal-to-noise ratio loss of the deformation monitoring signal supported by deformation monitoring in the target direction;

[0254] The maximum transmission power of this transmission channel;

[0255] The maximum total transmission power of these multiple transmission channels.

[0256] In one optional implementation, the processing unit 810 is specifically used to acquire multiple candidate target parameters, which are candidate clutter direction parameters or direction parameters in which the clutter direction is offset relative to the target direction. The processing unit 810 is specifically used to determine multiple candidate weight sets based on the multiple candidate target parameters, with each candidate target parameter corresponding one-to-one with the multiple candidate weight sets. The transceiver unit 820 is further used to transmit a detection signal through the multiple transmission channels according to each candidate weight set, and to receive the echo signal of each detection signal to obtain multiple second echo signals. The processing unit 810 is further used to determine a first weight set from the multiple candidate weight sets based on the multiple second echo signals and the target's position parameters.

[0257] In one optional implementation, the processing unit 810 is specifically configured to sample each of the plurality of second echo signals at a first sampling frequency to obtain a sampled signal corresponding to each echo signal, and to determine the first distance unit where the target is located based on the first sampling frequency and the target's position parameters. The processing unit 810 is further configured to determine the target measurement parameters corresponding to each candidate weight set based on the sampled signals corresponding to the plurality of second echo signals and the first distance unit. The processing unit 810 is also configured to determine the first weight set from the plurality of candidate weight sets based on the target measurement parameters corresponding to each candidate weight set.

[0258] For a more detailed description of the processing unit 810 and the transceiver unit 820, please refer to [link / reference]. Figure 3 , Figure 4 and Figure 7 The relevant descriptions in the method embodiments shown.

[0259] It should be understood that the transceiver unit 820 in the monitoring device 800 can be implemented through a communication interface (such as a transceiver, transceiver circuit, input / output interface, or pins, etc.). When the communication interface is a transceiver, the transceiver can consist of a receiver and / or a transmitter. The processing unit 810 in the monitoring device 800 can be implemented through at least one processor, or it can be implemented through at least one logic circuit. Optionally, the monitoring device 800 also includes a storage unit, which can be implemented using a memory.

[0260] like Figure 9As shown, the monitoring device 900 includes a processor 910 and an interface circuit 920. The processor 910 and the interface circuit 920 are coupled to each other. It is understood that the interface circuit 920 can be a transceiver or an input / output interface. Optionally, the monitoring device 900 may also include a memory 930 for storing instructions executed by the processor 910, or storing input data required by the processor 910 to execute instructions, or storing data generated after the processor 910 executes instructions.

[0261] In one implementation, the memory 930 may be integrated into the processor 910 or independent of the processor 910.

[0262] When monitoring device 900 is used to achieve Figure 8 In the method shown, the processor 910 is used to implement the functions of the processing unit 810, and the interface circuit 920 is used to implement the functions of the transceiver unit 820.

[0263] When the aforementioned monitoring device is a chip applied to a monitoring equipment, the monitoring equipment chip can implement the functions of the monitoring device in the above method embodiments. The monitoring equipment chip receives information / signals from other modules (such as radio frequency modules or antennas) in the monitoring equipment, which are obtained by the monitoring equipment from a wireless channel; or, the monitoring equipment chip sends information / signals to other modules (such as radio frequency modules or antennas) in the monitoring equipment, which are information / signals that need to be transmitted in a wireless channel.

[0264] It is understood that the processor in the embodiments of this application can be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), microprocessors (MPUs), microcontroller units (MCUs), graphics processing units (GPUs), artificial intelligence processors (AI processors), neural processing units (NPUs), or other programmable logic devices, transistor logic devices, hardware components, or any combination thereof. A general-purpose processor can be a microprocessor or any conventional processor.

[0265] The method steps in the embodiments of this application can be implemented in hardware or in software instructions executable by a processor. The software instructions can consist of corresponding software modules, which can be stored in random access memory, flash memory, read-only memory, programmable read-only memory, erasable programmable read-only memory, electrically erasable programmable read-only memory, registers, hard disks, portable hard disks, CD-ROMs, or any other form of storage medium known in the art. An exemplary storage medium is coupled to a processor, enabling the processor to read information from and write information to the storage medium. The storage medium can also be a component of the processor. The processor and storage medium can reside in an ASIC. Alternatively, the ASIC can reside in an access network device or a terminal device. The processor and storage medium can also exist as discrete components in the access network device or terminal device.

[0266] According to the method provided in the application embodiments, this application embodiment also provides a computer program product, the computer program product comprising: computer program code, which, when executed by one or more processors, causes a device including the processor to perform as described above. Figure 3 , Figure 4 and Figure 7 The method provided in the illustrated embodiment.

[0267] In the above embodiments, implementation can be achieved entirely or partially through software, hardware, firmware, or any combination thereof. When implemented using software, it can be implemented entirely or partially in the form of a computer program product. This computer program product includes one or more computer programs or instructions. When the computer program or instructions are loaded and executed on a computer, the processes or functions described in the embodiments of this application are performed, in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, network equipment, user equipment, or other programmable device.

[0268] According to the method provided in the embodiments of this application, the embodiments of this application also provide a computer-readable storage medium that stores the aforementioned computer program or instructions. When the computer program or instructions are executed by one or more processors, they cause a device including the processor to perform actions such as... Figure 3 , Figure 4 and Figure 7 The method provided in the illustrated embodiment.

[0269] As described above, computer programs or instructions can be stored in or transferred from one computer-readable storage medium to another. For example, the computer programs or instructions can be transferred from one website, computer, server, or data center to another website, computer, server, or data center via wired or wireless means. The computer-readable storage medium can be any available medium accessible to a computer or a data storage device such as a server or data center that integrates one or more available media. The available medium can be a magnetic medium, such as a floppy disk, hard disk, or magnetic tape; it can also be an optical medium, such as a digital video optical disc; or it can be a semiconductor medium, such as a solid-state drive. The computer-readable storage medium can be a volatile or non-volatile storage medium, or it can include both volatile and non-volatile types of storage media.

[0270] In the various embodiments provided in this application, it should be understood that the disclosed systems, apparatuses, and methods can be implemented in other ways. For example, the apparatus described above is merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between apparatuses or units may be electrical, mechanical, or other forms.

[0271] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this solution according to actual needs.

[0272] In the various embodiments of this application, unless otherwise specified or in case of logical conflict, the terminology and / or descriptions between different embodiments are consistent and can be referenced by each other. Technical features in different embodiments can be combined to form new embodiments based on their inherent logical relationships.

[0273] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. A signal transmission method, characterized in that, include: A first set of weights is determined, which includes the weights corresponding to each of the multiple transmission channels; The multiple transmission channels are controlled to send deformation monitoring signals according to the first weight set. The deformation monitoring signals are used to monitor the deformation of the target under test. The maximum signal intensity radiation direction of the deformation monitoring signal does not overlap with the target direction, and the angle of the maximum signal intensity radiation direction relative to the clutter direction is greater than the angle of the maximum signal intensity radiation direction relative to the target direction. The target is located on the target under test at the position of the deformation to be monitored.

2. The method according to claim 1, characterized in that, The method further includes: The deformation of the target under test is determined based on the echo signal of the deformation monitoring signal.

3. The method according to claim 1 or 2, characterized in that, The determination of the first set of weights includes: Obtain the position parameters corresponding to the clutter direction; The first weight set is determined based on the position parameters corresponding to the clutter direction and the position parameters of the target.

4. The method according to claim 3, characterized in that, The acquisition of the position parameters corresponding to the clutter direction includes: Send a detection signal; Multiple first echo signals are obtained by receiving the echo signals of the detection signals through the multiple transmission channels; Based on the plurality of first echo signals, the position parameters corresponding to the clutter direction are determined.

5. The method according to claim 4, characterized in that, The transmission of the detection signal includes: The detection signal is sent when the target is obscured or the target does not exist.

6. The method according to claim 4 or 5, characterized in that, The step of determining the position parameters corresponding to the clutter direction based on the plurality of first echo signals includes: Based on the target's position parameters and the plurality of first echo signals, the position parameters corresponding to the clutter direction are determined.

7. The method according to claim 6, characterized in that, Determining the position parameters corresponding to the clutter direction based on the target's position parameters and the plurality of first echo signals includes: Each echo signal among the plurality of first echo signals is sampled at a first sampling frequency to obtain a sampled signal corresponding to each echo signal; Based on the first sampling frequency and the target's position parameters, the first distance unit where the target is located is determined; The position parameters corresponding to the clutter direction are determined. These position parameters are obtained by measuring the position parameters of the first distance unit based on the sampling signals of the multiple transmission channels.

8. The method according to claim 7, characterized in that, Determining the position parameters corresponding to the clutter direction includes: Multiple matched filtering results are obtained, including the matched filtering results of the sampled signal corresponding to each of the multiple first echo signals that are matched filtering results with respect to the first distance unit. Based on the multiple matched filtering results, the azimuth-elevation map corresponding to the first distance unit is obtained; Based on the azimuth-elevation diagram, the position parameters corresponding to the clutter direction are determined. The position parameters corresponding to the clutter direction are the position parameters of the point with the strongest energy in the azimuth-elevation diagram, and the position parameters include the azimuth angle and the elevation angle.

9. The method according to claim 3, characterized in that, The acquisition of the position parameters corresponding to the clutter direction includes: The position parameters corresponding to the clutter direction are obtained through the communication interface.

10. The method according to any one of claims 3 to 9, characterized in that, The step of determining the first weight set based on the position parameters corresponding to the clutter direction and the position parameters of the target includes: Based on the position parameters corresponding to the clutter direction and the position parameters of the target, determine the direction parameter of the clutter direction relative to the target direction; Based on the directional parameters and the beam pattern functions corresponding to the multiple transmission channels, an optimization problem is constructed to solve the weight set corresponding to the multiple transmission channels, and the first weight set is obtained.

11. The method according to claim 10, characterized in that, The direction parameter includes the azimuth offset of the clutter direction relative to the target direction; and / or, the direction parameter includes the pitch offset of the clutter direction relative to the target direction.

12. The method according to claim 10 or 11, characterized in that, The optimization problem is specifically to find the set of weights that make the beam pattern function obtain the target gradient value at the position parameter of the target, based on the gradient direction determined by the direction parameter.

13. The method according to any one of claims 10 to 12, characterized in that, The optimization problem includes one or more of the following constraints: The imaginary part of the beam pattern function at the directional parameter of the target is 0; The maximum attenuation of the radiated power of the deformation monitoring signal supported by deformation monitoring in the direction of the target; The maximum loss of signal-to-noise ratio of the deformation monitoring signal supported by deformation monitoring in the target direction; The maximum transmission power of the transmission channel; The maximum total transmission power of the multiple transmission channels.

14. The method according to claim 1 or 2, characterized in that, The determination of the first set of weights includes: Multiple candidate target parameters are obtained, wherein the candidate target parameters are candidate target parameters or directional parameters in which the clutter direction is offset relative to the target direction; Based on the multiple candidate target parameters, multiple candidate weight sets are determined, and the multiple candidate target parameters correspond one-to-one with the multiple candidate weight sets; Through the multiple transmission channels, a detection signal is sent according to each candidate weight set, and the echo signal of each detection signal is received to obtain multiple second echo signals; Based on the plurality of second echo signals and the position parameters of the target, the first weight set is determined from the plurality of candidate weight sets.

15. The method according to claim 14, characterized in that, The step of determining the first weight set from the plurality of candidate weight sets based on the plurality of second echo signals and the position parameters of the target includes: Each echo signal among the plurality of second echo signals is sampled at a first sampling frequency to obtain a sampled signal corresponding to each echo signal; Based on the first sampling frequency and the target's position parameters, the first distance unit where the target is located is determined; Based on the sampling signals corresponding to the plurality of second echo signals and the first distance unit, the target measurement parameters corresponding to each candidate weight set are determined; Based on the target measurement parameters corresponding to each candidate weight set, the first weight set is determined from the plurality of candidate weight sets.

16. A monitoring device, characterized in that, The device includes a processor coupled to a memory for storing a computer program, the processor for executing the computer program stored in the memory to cause the communication device to perform the method as described in any one of claims 1 to 15.

17. A monitoring device, characterized in that, It includes a processor and a communication interface, the processor being used to control the communication interface to receive and / or transmit signals to implement the method as described in any one of claims 1 to 15.

18. A computer-readable storage medium, characterized in that, The computer stores instructions that, when executed on the computer, cause the computer to perform the method as described in any one of claims 1 to 15.

19. A computer program product, characterized in that, The computer program product includes: a computer program that, when run, causes a computer to perform the method of any one of claims 1 to 15.

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