Anti-interference signal method, system and device and storage medium

Abstract

The invention discloses an anti-interference signal method, system and device and a storage medium, and the method comprises the steps: obtaining a first signal of a second device based on a sending signal, and recognizing the interference information in the first signal, and obtaining an interference recognition result; sending parameter adjustment information corresponding to the interference identification result to a second device, and obtaining a second signal corresponding to the parameter adjustment information; and performing interference filtering on the second signal based on second polarization information in the second signal. According to the invention, interference information in the received signal can be filtered out.

Description

Technical Field

[0001] The present application relates to the field of wireless communication technology, and in particular to an anti-interference signal method, system, device and storage medium. Background Art

[0002] In recent years, with the continuous development and upgrading of communication technology, the exploration of 6G technology and concepts such as the Internet of Everything have been proposed and applied one after another. As an important direction of 6G, communication sensing technology has made it urgent to improve the anti-interference ability of corresponding communication sensing equipment. There are various interferences from space in the signals received by base stations or terminals. These interferences seriously affect the signal reception quality of base stations and terminals. However, current communication sensing equipment cannot effectively identify the corresponding interference signals from the received signals, resulting in the inability to reduce the impact of interference on communication sensing equipment. Summary of the invention

[0003] The main purpose of this application is to provide an anti-interference signal method, system, device and storage medium, aiming to solve the technical problem in the related technology that the communication perception device cannot effectively identify the corresponding interference signal from the received signal, resulting in the inability to reduce the impact of interference on the communication perception device.

[0004] To achieve the above object, an embodiment of the present application provides an anti-interference signal method, which is applied to a first device, wherein the first device includes a polarized array antenna, and the method includes:

[0005] Acquire a first signal of the second device based on the transmitted signal, and identify interference information in the first signal to obtain an interference identification result;

[0006] Sending parameter adjustment information corresponding to the interference identification result to the second device, and acquiring a second signal corresponding to the parameter adjustment information;

[0007] Based on the second polarization information in the second signal, interference filtering is performed on the second signal.

[0008] The present application also provides an anti-interference signal system, the anti-interference signal system comprising a first device and a second device, the first device further comprising a polarized array antenna;

[0009] The first device is used to: send a signal through the polarized array antenna or receive a signal sent by the second device, and perform interference identification and filtering on the received signal, wherein the polarized array antenna is a three-dimensional array antenna composed of a plurality of first arrays arranged uniformly, and the first array includes a plurality of uniformly arranged array elements;

[0010] The second device is used to send or receive a signal, and adjust the sent signal according to the parameter adjustment information sent by the first device.

[0011] The present application also provides an anti-interference signal device, which is a physical node device. The anti-interference signal device includes: a memory, a processor, and a program of the anti-interference signal method stored in the memory and executable on the processor. When the program of the anti-interference signal method is executed by the processor, the steps of the anti-interference signal method as described above can be implemented.

[0012] In order to achieve the above-mentioned purpose, a storage medium is further provided, on which an anti-interference signal program is stored, and when the anti-interference signal program is executed by a processor, the steps of any of the above-mentioned anti-interference signal methods are implemented.

[0013] The present application provides an anti-interference signal method, system, device and storage medium. Compared with the related art, in which the communication sensing device cannot effectively identify the corresponding interference signal from the received signal, and thus cannot reduce the impact of interference on the communication sensing device, in the present application, the first signal of the second device is obtained based on the transmitted signal, and the interference information in the first signal is identified to obtain the interference identification result; the parameter adjustment information corresponding to the interference identification result is sent to the second device, and the second signal corresponding to the parameter adjustment information is obtained; based on the second polarization information in the second signal, the second signal is filtered out for interference. In the present application, a signal is sent from the first device to the second device, the first signal fed back by the second device is obtained, and the corresponding parameter adjustment information is determined according to the interference identification result obtained after identifying the interference information of the first signal, so that the second device can adjust the transmitted signal according to the parameter adjustment information, so that the signal transmitted by the second device is different from the interference signal, so that the desired signal and the interference signal are distinguished, so that the second signal is filtered out for interference according to the second polarization information of the second signal, and the impact of the interference signal on the communication sensing device is reduced. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] Figure 1 A schematic diagram of a flow chart of a first embodiment of the anti-interference signal method of the present application;

[0015] Figure 2 This is a detailed flowchart of step S10 in the first embodiment of the anti-interference signal method of the present application;

[0016] Figure 3 A schematic diagram of the device structure of the hardware operating environment involved in the embodiment of the present application;

[0017] Figure 4 This is a schematic diagram of a first application scenario involved in the anti-interference signal method of this application;

[0018] Figure 5 This is a schematic diagram of a second application scenario involved in the anti-interference signal method of the present application;

[0019] Figure 6 This is a schematic diagram of a third application scenario involved in the anti-interference signal method of this application;

[0020] Figure 7 A schematic diagram of an array element model involved in the anti-interference signal method of this application;

[0021] Figure 8 A schematic diagram of a planar array model involved in the anti-interference signal method of this application;

[0022] Fig. 9 A schematic diagram of a cylindrical array model involved in the anti-interference signal method of the present application;

[0023] Fig.10 A schematic diagram of the device structure of the operating environment involved in the anti-interference signal method of the present application. DETAILED DESCRIPTION

[0024] It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0025] The present application embodiment provides an anti-interference signal method, which is applied to a first device, wherein the first device includes a polarized array antenna. In the first embodiment of the anti-interference signal method of the present application, referring to Figure 1 , the method comprising:

[0026] Step S10, acquiring a first signal of the second device based on the transmitted signal, and identifying interference information in the first signal to obtain an interference identification result;

[0027] As an example, the anti-interference signal method may be applied to an anti-interference signal device, the anti-interference signal device belongs to an anti-interference signal system, and the anti-interference signal system belongs to an anti-interference signal device.

[0028] As an example, the first device may be a base station, a communication sensing device, a terminal, or other device that can send and receive signals. The first device will be described in detail below using a base station as an example.

[0029] As an example, the second device may be a communication sensing device, a terminal (mobile phone, computer), or other device that can send and receive signals. The second device will be described in detail below using the terminal as an example.

[0030] As an example, a polarized array antenna can be a signal receiving / transmitting antenna applied to the first device or the second device. The antenna array styles of the polarized array antenna include but are not limited to a planar array and a three-dimensional cylindrical array. During use, the polarized array antenna sends, receives, and filters interference by receiving control instructions from a base station or a terminal.

[0031] As an example, a polarized array antenna can utilize the difference in polarization information between the interference signal and the desired signal to distinguish the received interference signal from the desired signal, thereby effectively suppressing interference and improving signal reception quality.

[0032] As an example, the first signal includes an expected signal fed back by the terminal after receiving the signal sent by the base station and an interference signal in the external environment. Due to the presence of other signals in the external environment, the signal received by the base station will include other interference signals that are unrelated to the signal sent by the terminal, that is, the first signal includes the expected signal and the interference signal.

[0033] As an example, the interference information in the first signal includes but is not limited to interference signals, broadcast signals, radar signals, etc. By identifying the interference information in the first signal, signal parameter information of the interference signal is obtained to facilitate subsequent adjustments.

[0034] As an example, the interference identification result includes whether interference exists, polarization information of the interference signal, etc. When the interference identification result is determined, the corresponding parameter adjustment information can be obtained, so that the second device adjusts the expected signal sent according to the parameter adjustment information, so that the expected signal and the interference signal can be distinguished to avoid the same polarization information of the expected signal and the interference signal.

[0035] Before the step S20 of sending the parameter adjustment information corresponding to the interference identification result to the second device, the method further includes:

[0036] Step S11, determining the arrival direction information and first polarization information of the first signal;

[0037] As an example, the arrival direction information may be azimuth information of the received signal.

[0038] As an example, the first polarization information may be a phase difference and an amplitude ratio of the first signal, and the polarization information and the incoming wave direction information may be converted into each other.

[0039] As an example, when a polarized array antenna receives a signal, the signal reception is completed by a polarized sensitive array composed of N uniformly distributed orthogonal dipoles (array elements) arranged in a preset manner. The schematic diagram of the array element model involved in the anti-interference signal method is as follows: Figure 7 As shown, Figure 7 In and θ are the direction information / azimuth information of the received signal. In spherical coordinates, and E θ They are The polarization components in the directions of and θ can be expressed as:

[0040]

[0041] Where, tanγ=A y / A x , which represents the ratio of the electric field amplitude in the y direction to the electric field amplitude in the x direction, η=φ y -φ x , which represents the phase difference between the electric field in the y direction and the x direction.

[0042] As an example, according to the relationship between coordinate vectors in different coordinate bases, it can be concluded that the coordinate vector of the electric field vector in the rectangular coordinate system is:

[0043]

[0044] Where E x 、E y 、E z are the electric field components in the x, y, and z directions respectively.

[0045] Step S12: Based on the arrival direction information and the first polarization information, filtering out interference signals in the first signal that do not match the preset arrival direction information and the preset polarization information of the polarization array antenna.

[0046] As an example, the preset arrival direction information is the preset azimuth information of the signal received by the polarization array antenna. The azimuth can be 100° or 120° and can be changed according to user needs without specific limitation.

[0047] As an example, the preset polarization information may be a preset amplitude ratio and phase difference of the received signal, and the phase difference may be 100°, 120°, etc., and may be changed according to user needs without specific limitation.

[0048] As an example, the arrival direction information and the first polarization information of the received first signal are matched with the preset arrival direction information and the preset polarization information respectively, and according to the matching result, the interference signal in the first signal that does not match the preset arrival direction information and the preset polarization information of the polarization array antenna is filtered out.

[0049] As an example, the polarized array antenna is also set in a preset frequency band range, which can be 30kHz to 300kHz, or other frequency band ranges, without specific limitation. When the frequency band corresponding to the received signal is not within the frequency band range, it will be automatically filtered out.

[0050] As an example, the first application scenario diagram involved in this method is as follows Figure 4 As shown, in this application scenario, the array model used is a planar array model. The execution steps are as follows:

[0051] 1. The base station transmits the identification signal to the sensed area through the antenna system;

[0052] 2. The detected target (which can be a terminal) will reflect the identification signal transmitted by the base station;

[0053] 3. The base station receives the echo and uses a planar array model to filter out interference signals.

[0054] Step S20, sending parameter adjustment information corresponding to the interference identification result to the second device, and acquiring a second signal corresponding to the parameter adjustment information;

[0055] As an example, the basis for determining whether there is an interference signal in the first signal is: when the polarization information of the expected signal in the first signal is the same as that of the interference source, the interference source at this time is determined to be an interference signal. At this time, it is necessary to adjust the transmission parameters of the expected signal sent by the second device according to the polarization information of the interference signal, so as to distinguish the expected signal from the interference signal. The polarization array antenna can filter out the interference signal and only receive the expected signal. When the polarization information of the expected signal in the first signal is different from that of the interference source, the interference source at this time will be automatically filtered out by the antenna, and no parameter adjustment is required.

[0056] As an example, after the terminal adjusts the transmission parameters of the terminal according to the parameter adjustment information, a second signal to be sent is obtained, and the second signal is sent to the base station.

[0057] Step S30: Perform interference filtering on the second signal based on the second polarization information in the second signal.

[0058] As an example, the second polarization information is the polarization information of the second signal, wherein the polarization information includes the amplitude ratio and phase difference of the signal, the second polarization information includes the polarization information of the desired signal and the polarization information of the interference signal, and after the second signal is adjusted by parameters, there is a difference in the polarization information of the desired signal and the interference signal, so that the polarization array antenna can filter out interference with the received second signal.

[0059] The purpose of this embodiment is to: obtain an interference identification result by performing interference identification on a first signal fed back by a second device, and thereby adjust the signal sent by the second device according to parameter adjustment information corresponding to the interference identification result, so that the signal transmitted by the second device is distinguished from the interference signal, and then, the interference of the second signal is filtered out according to the polarization information in the second signal.

[0060] Among them, the polarized array antenna includes a planar array model and a cylindrical array model, and the polarized array antenna is applied to the first device or the second device, and the array model applied on the first device or the second device is associated with the physical form of the set array antenna.

[0061] As an example, the schematic diagram of the planar array model is as follows Figure 8 As shown, the planar array model uses three-dimensional orthogonal dipoles as array elements (the array element structure is shown in Figure 7 shown), using Figure 8 The array arrangement has the following characteristics:

[0062] 1. N1 array elements are evenly arranged on the plane;

[0063] 2. Horizontally, N 1r Array elements form a linear array, and the lateral distance between two array elements is R1;

[0064] 3. Multiple linear arrays are longitudinally combined into a uniform plane array, and the distance between two linear arrays is d1;

[0065] The planar array is a regular rectangular plane. The planar array model is consistent with the physical form of the base station antenna and is more suitable for application in mainstream base station communication systems.

[0066] As an example, the cylindrical array model diagram is as follows Fig. 9 As shown in the figure, the cylindrical array model uses three-dimensional orthogonal dipoles as array elements. Fig. 9 The array arrangement has the following characteristics:

[0067] 1. N2 array elements are evenly arranged on the cylinder;

[0068] 2. By N 2r The array elements form a circular array, and the radius of the circular array is R2;

[0069] 3. A cylindrical array is formed by multiple circular arrays, and the distance between two circular arrays is d2;

[0070] The cylindrical array is an array formed by a cylindrical arrangement. The cylindrical array model is consistent with the physical form of the terminal antenna and is more suitable for application in the terminal.

[0071] The present application provides an anti-interference signal method, system, device and storage medium. Compared with the related art, in which the communication sensing device cannot effectively identify the corresponding interference signal from the received signal, and thus cannot reduce the impact of interference on the communication sensing device, in the present application, the first signal of the second device is obtained based on the transmitted signal, and the interference information in the first signal is identified to obtain the interference identification result; the parameter adjustment information corresponding to the interference identification result is sent to the second device, and the second signal corresponding to the parameter adjustment information is obtained; based on the second polarization information in the second signal, the second signal is filtered out for interference. In the present application, a signal is sent from the first device to the second device, the first signal fed back by the second device is obtained, and the corresponding parameter adjustment information is determined according to the interference identification result obtained after identifying the interference information of the first signal, so that the second device can adjust the transmitted signal according to the parameter adjustment information, so that the signal transmitted by the second device is different from the interference signal, so that the desired signal and the interference signal are distinguished, so that the second signal is filtered out for interference according to the second polarization information of the second signal, and the impact of the interference signal on the communication sensing device is reduced.

[0072] Further, based on the first embodiment of the present application, another embodiment of the present application is provided. In this embodiment, the step S10 of identifying interference information in the first signal and obtaining an interference identification result includes:

[0073] Step S110, determining a signal-to-noise ratio value of the first signal;

[0074] As an example, the signal-to-noise ratio value is the ratio of the desired signal to the interference signal in the first signal, that is, the ratio of the strength of the received useful signal to the strength of the interference signal. The signal-to-noise ratio value can reflect the signal quality of the current received signal. When the signal-to-noise ratio is lower than a certain level, it means that there is an interference signal in the first signal.

[0075] Step S120: compare the preset threshold with the signal-to-noise ratio value of the first signal to obtain the interference identification result.

[0076] As an example, the preset threshold may be -1, -5, -10, etc., and may be changed according to user needs without specific limitation.

[0077] As an example, the interference identification result may be that the signal-to-noise ratio is less than a preset threshold. When the signal-to-noise ratio is less than the preset threshold, it is considered that interference exists in the first signal. At this time, the interference identification result shows that interference exists in the first signal.

[0078] The step S110 of determining the signal-to-noise ratio value of the first signal includes:

[0079] Step S1110: determining a desired signal vector value and an interference signal vector value according to first polarization information of the first signal, wherein the first polarization information or the second polarization information includes an amplitude ratio and a phase difference of a signal;

[0080] As an example, according to the first polarization information of the first signal, the expected signal vector value and the interference signal vector value are determined. Before calculating the expected signal vector value and the interference signal vector value, the position coordinate vector of each array element needs to be calculated.

[0081] As an example, in a planar array model, the numerical expression of the position coordinate vector of the n1th array element is:

[0082]

[0083] Among them, C 1c =[n1 / N 1r ], C 1c is n1 / N 1r The resulting integer, N 1r Indicates the number of array elements arranged in the horizontal line array, the subscript 1r indicates the order of the array elements arranged in the horizontal direction, M 1c =n1modN 1r For n1 to N 1r The remainder after integer division.

[0084] As an example, in a cylindrical array model, the numerical expression of the position coordinate vector of the n2th array element is:

[0085]

[0086] Among them, C 2c =[n2 / N 2r ], C 2c is n2 / N 2r The resulting integer, N 2r The subscript 2r represents the number of array elements arranged on the circular array, and M represents the sequence number of the array elements arranged on the circular array. 2c =n2modN 2r For n2 to N 2r The remainder after integer division.

[0087] As an example, for different antenna array models, the signal-to-noise ratio SINR is calculated as follows:

[0088] Taking the origin of the three-dimensional coordinate axis where the array model is located as a reference, the spatial phase lag of the nth array element receiving signal relative to the origin is Φ n :

[0089] Φ n =kT L n

[0090] in (In the planar array model, θ=θ1, In the cylindrical array model, θ = θ2, );L in the formula n In the planar array model In the column array model

[0091] Therefore, the phase lags of N array elements are combined as a unit to form a column vector f:

[0092]

[0093] As an example, the signal received by each array element includes an interference signal and a desired signal, and the column vector of the desired signal is represented by square f d , the column vector of the interference signal is represented by f i .

[0094] As an example, after a vector composed of delayed phase differences of a plurality of array elements is determined, the received signal is processed to obtain a desired signal vector value and an interference signal vector value.

[0095] Step S1120: Calculate the signal-to-noise ratio of the first signal based on the expected signal vector value, the interference signal vector value, and the noise signal vector value.

[0096] As an example, the signal-to-noise ratio value=expected signal vector value / (interference signal vector value+noise signal vector value).

[0097] The step S1110 of determining the desired signal vector value and the interference signal vector value according to the first polarization information of the first signal includes:

[0098] Step S1111, multiplying the lag phase difference of the expected signal and the expected signal function to calculate the expected signal vector value;

[0099] As an example, the calculation formula of the expected signal vector value is:

[0100] X d =s(t)U dd

[0101] in, U dd Represents the value obtained after Fourier transform of the expected signal, f d is a column vector composed of the delayed phase difference of the desired signal, and s(t) represents the desired signal function.

[0102] Step S1112: multiply the lagging phase difference of the interference signal and the interference signal function to obtain a plurality of interference vector products, and add the plurality of interference vector products to calculate an interference signal vector value.

[0103] As an example, the calculation formula of the interference signal vector value is:

[0104]

[0105] in, U iik Represents the value obtained after Fourier transform of the interference signal, f i is a column vector composed of the delayed phase difference of the desired signal, i k (t) represents the interference signal function, X i It is the value obtained by adding multiple interference vector products.

[0106] The step S1120 of calculating the signal-to-noise ratio data based on the expected signal vector value, the interference signal vector value and the noise signal vector value includes:

[0107] Step S1121, adding the interference signal vector value to the noise signal vector value to obtain a total interference vector value;

[0108] As an example, the noise signal vector value is expressed as: X n =[n1(t) n2(t) ... n N (t)] T , where [n1(t) n2(t) ... n N (t)] represents N noise signal vectors, which can be obtained by identifying the received signal through the polarized array antenna or antenna.

[0109] As an example, the total interference vector value is the sum of the interference signal vector value and the noise signal vector value. The total interference vector value is expressed as: i +X n .

[0110] Step S1122: Calculate the ratio between the expected signal vector value and the total interference vector value to obtain a signal-to-noise ratio value of the first signal.

[0111] As an example, the total vector induced on the array antenna is expressed as:

[0112] X=X d +X i +X n

[0113] Among them, X d is the expected signal vector value, Xi is the interference signal vector value, X n is the noise signal vector value.

[0114] As an example, the recursive formula of SINR (signal to noise ratio) obtained by simplifying the calculation is:

[0115] in,

[0116] Among them, P d is the expected signal vector value, P i is the interference signal vector value, P n is the noise signal vector value, U dd is the expected signal, U iik is the interference signal, ξ d is the array signal-to-noise ratio, assumed to be a constant, ξ ik is the kth array interference-to-noise ratio, assumed to be a constant.

[0117] In this embodiment, a signal-to-noise ratio value is calculated according to the polarization information of the received first signal, and the signal-to-noise ratio value of the signal is compared with a preset threshold, so as to effectively identify the anti-interference signal in the received signal.

[0118] Further, based on the first embodiment and the second embodiment of the present application, another embodiment of the present application is provided. In this embodiment, the step S20 of sending the parameter adjustment information corresponding to the interference identification result to the second device and obtaining the second signal corresponding to the parameter adjustment information includes:

[0119] Step S210, determining parameter adjustment information based on the transmission parameters of the interference signal identified in the interference identification result;

[0120] As an example, the transmission parameters may be polarization information γ and η, incoming wave direction information θ and When an interference signal is identified in the received signal, the polarization information γ and η in the interference signal and the desired signal and the wave direction information θ and Similarly, the purpose of sending the parameter adjustment information is to enable the second device / terminal to adjust the transmission parameters of the sent signal so that there is a difference in polarization information between the interference signal and the desired signal, thereby effectively filtering out the interference signal.

[0121] As an example, the parameter adjustment information may be to adjust γ and η to γ1 and η1, or other adjustment methods.

[0122] Step S220, sending the parameter adjustment information to the second device, so that the second device adjusts the transmission parameters of the transmitted signal according to the parameter adjustment information;

[0123] As an example, after the second device receives the parameter adjustment information, it adjusts the transmission parameters of the signal sent by itself, so as to distinguish between the desired signal and the interference signal sent by the second device. The specific process of adjusting the transmission parameters is an existing technology well known to personnel in this field and will not be repeated here.

[0124] Step S230: receiving a second signal fed back by the second device after adjusting the transmission parameters.

[0125] As an example, after the second device adjusts the transmission parameters, it resends the second signal to the base station.

[0126] The third application scenario diagram involved in this embodiment is as follows Figure 6 As shown, when there are interference signals with the same frequency and polarization and the same direction of the waves in the scene, the base station uses this method to interact with the terminal for perception. The specific implementation flow chart is as follows Figure 6 As shown, in this embodiment, according to the physical form of the base station antenna, a suitable array model is selected, including but not limited to a planar array model and a cylindrical array model. Selecting different array models does not affect the implementation of subsequent steps.

[0127] 1. The base station communicates and interacts with the terminal;

[0128] 2. The base station receives the SINR result of the terminal signal. If it is less than the preset threshold, it identifies interference;

[0129] 3. The base station notifies the terminal to adjust the spatial and polarization domain parameters to avoid the same-direction and same-polarization interference sources and improve the anti-interference capability of the synaesthesia. The spatial domain parameters are the parameters of the incoming wave direction.

[0130] In this embodiment, by creating a difference between the desired signal and the interference signal in the spatial domain or the polarization domain, the interference signal is effectively filtered out, thereby achieving the purpose of enhancing the signal perception effect.

[0131] Furthermore, based on the first embodiment, the second embodiment and the third embodiment of the present application, another embodiment of the present application is provided. In this embodiment, there may be multiple second devices. When there are multiple second devices, signals are received and filtered for the multiple second devices in sequence according to the arrangement order of the second devices.

[0132] As an example, the second device is described as a terminal. When there are multiple terminals, the application scenario diagram is shown in Figure 5. Figure 5 It can be obtained that the current terminal is provided with a polarized array antenna. Since the cylindrical array model is consistent with the physical form of the terminal antenna, this embodiment adopts the cylindrical array model for specific implementation.

[0133] 1. The current terminal sends a signal to terminals 1 to n;

[0134] 2. Terminals 1 to n reply to the terminal with a signal;

[0135] 3. The current terminal receives multiple signals, and takes the signal of terminal 1 as the desired signal and other signals as interference signals. The cylindrical array model is used to filter out the interference signal, and the filtered signal of terminal 1 is transmitted to the base station.

[0136] 4. According to the polling method, the remaining n-1 terminals are sequentially received and filtered according to the method of step 4.

[0137] In this embodiment, the base station and the current terminal are just a special perception networking method, and the base station plus the current terminal can also be replaced by the base station.

[0138] In this embodiment, when there are multiple terminals, a network is formed by the current terminal and the base station, so that interference filtering can be performed on signals sent by multiple terminals.

[0139] The embodiment of the present application further provides an anti-interference signal system. In a fifth embodiment of the anti-interference signal system of the present application, the anti-interference signal system includes a first device and a second device, and the first device further includes a polarized array antenna;

[0140] The first device is used to: send a signal through the polarized array antenna or receive a signal sent by the second device, and perform interference identification and filtering on the received signal, wherein the polarized array antenna is a three-dimensional array antenna composed of a plurality of first arrays arranged uniformly, and the first array includes a plurality of uniformly arranged array elements;

[0141] The second device is used to send or receive a signal, and adjust the sent signal according to the parameter adjustment information sent by the first device.

[0142] As an example, in this system, the first device may be a base station, the second device may be a terminal, and the polarization array antenna may be set on the base station or the terminal. When the polarization array antenna is set on the base station, a planar array model is adopted, and when the polarization array antenna is set on the terminal, a cylindrical array model is adopted.

[0143] As an example, the related technology provides polarization filtering of uniform linear arrays and circular arrays, but this technology only arranges the antenna elements uniformly into a straight line or circular shape to receive or transmit signals. Because the result is limited by the characteristics of the azimuth plane, the received signal is severely attenuated. This technology has insufficient filtering capabilities in the polarization domain and spatial domain, and its anti-interference ability is lower than that of a three-dimensional cylindrical array. When the state characteristics of the interference signal and the useful signal in the time domain, frequency domain, and spatial domain are very close, this technology is difficult to effectively filter out interference.

[0144] As an example, the polarization array antenna is a polarization sensitive array composed of N uniformly distributed orthogonal dipoles (array elements). The array is composed of multiple circular arrays (or linear arrays) with equal spacing in layers, and each layer of circular arrays (or linear arrays) is composed of N uniformly arranged r The polarized array antenna is composed of array elements, the radius of the circular ring (or the distance between two array elements of the linear array) is R, and the distance between two adjacent circular arrays (or linear arrays) is d. The polarized array antenna is a three-dimensional array antenna composed of multiple first arrays arranged evenly. By using a three-dimensional linear array or a three-dimensional cylindrical array, the anti-interference ability of the antenna is improved, and the expected signal wave information is θ and The signal and polarization information are γ and η, and the receiving phase delay of different oscillators is used to derive the SINR through an algorithm to characterize the filtering capability of the system.

[0145] In this embodiment, a stereoscopic three-dimensional array is used in a polarization array antenna, so that the polarization array antenna can receive or transmit signals in all directions, thereby avoiding the problem that the received signal is limited to the azimuth plane and the signal attenuation is serious.

[0146] Reference Figure 3 , Figure 3 It is a schematic diagram of the device structure of the hardware operating environment involved in the embodiment of the present application.

[0147] like Figure 3 As shown, the anti-interference signal device may include: a processor 1001 , a memory 1005 , and a communication bus 1002 . The communication bus 1002 is used to implement connection and communication between the processor 1001 and the memory 1005 .

[0148] Optionally, the anti-interference signal device may also include a user interface, a network interface, a camera, an RF (Radio Frequency) circuit, a sensor, a WiFi module, etc. The user interface may include a display screen (Display), an input submodule such as a keyboard (Keyboard), and the optional user interface may also include a standard wired interface and a wireless interface. The network interface may include a standard wired interface and a wireless interface (such as a WI-FI interface).

[0149] Those skilled in the art will understand that Figure 3 The structure of the anti-interference signal device shown in the figure does not constitute a limitation of the anti-interference signal device, and may include more or less components than shown in the figure, or combine certain components, or arrange the components differently.

[0150] like Figure 3 As shown, the memory 1005 as a storage medium may include an operating system, a network communication module and an anti-interference signal program. The operating system is a program that manages and controls the hardware and software resources of the anti-interference signal device, and supports the operation of the anti-interference signal program and other software and / or programs. The network communication module is used to realize the communication between the components inside the memory 1005, and the communication with other hardware and software in the anti-interference signal system.

[0151] exist Figure 3 In the anti-interference signal device shown, the processor 1001 is used to execute the anti-interference signal program stored in the memory 1005 to implement the steps of any of the above-mentioned anti-interference signal methods.

[0152] The specific implementation of the anti-interference signal device of the present application is basically the same as the above-mentioned embodiments of the anti-interference signal method, and will not be repeated here.

[0153] The present application also provides an anti-interference signal device, referring to Fig.10 , the device comprises:

[0154] an identification module, configured to acquire a first signal of a second device based on a transmitted signal, and identify interference information in the first signal to obtain an interference identification result;

[0155] A sending module, used to send parameter adjustment information corresponding to the interference identification result to a second device, and obtain a second signal corresponding to the parameter adjustment information;

[0156] The first filtering module is configured to perform interference filtering on the second signal based on second polarization information in the second signal.

[0157] In a possible implementation manner of the present application, the identification module includes:

[0158] A first determining unit, configured to determine a signal-to-noise ratio value of the first signal;

[0159] A comparing unit is used to compare a preset threshold with the signal-to-noise ratio value of the first signal to obtain the interference identification result.

[0160] In a possible implementation manner of the present application, the sending module includes:

[0161] A second determining unit, configured to determine parameter adjustment information based on the transmission parameters of the interference signal identified in the interference identification result;

[0162] a sending unit, configured to send the parameter adjustment information to the second device, so that the second device adjusts the transmission parameters of the transmitted signal according to the parameter adjustment information;

[0163] The receiving unit is used to receive a second signal fed back by the second device after adjusting the transmission parameters.

[0164] In a possible implementation manner of the present application, the first determining unit includes:

[0165] A determination subunit, configured to determine a desired signal vector value and an interference signal vector value according to first polarization information of the first signal, wherein the first polarization information or the second polarization information includes an amplitude ratio and a phase difference of a signal;

[0166] The calculation subunit is used to calculate the signal-to-noise ratio value of the first signal based on the expected signal vector value, the interference signal vector value and the noise signal vector value.

[0167] In a possible implementation manner of the present application, the determining subunit includes:

[0168] A first calculation component is used to multiply the lag phase difference of the expected signal and the expected signal function to calculate the expected signal vector value;

[0169] The second calculation component is used to multiply the lagging phase difference of the interference signal and the interference signal function to obtain a plurality of interference vector products, and add the plurality of interference vector products to calculate the interference signal vector value.

[0170] In a possible implementation manner of the present application, the computing subunit includes:

[0171] A third calculation component, configured to add the interference signal vector value to the noise signal vector value to obtain a total interference vector value;

[0172] The fourth calculation component is used to calculate the ratio between the expected signal vector value and the total interference vector value to obtain a signal-to-noise ratio value of the first signal.

[0173] In a possible implementation manner of the present application, the device further includes:

[0174] A determination module, used to determine the arrival direction information and the first polarization information of the first signal;

[0175] The second filtering module is used to filter out interference signals in the first signal that do not match the preset wave direction information and preset polarization information of the polarization array antenna based on the wave direction information and the first polarization information.

[0176] It should be noted that, in this article, the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or system including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or system. In the absence of further restrictions, an element defined by the sentence "comprises a ..." does not exclude the existence of other identical elements in the process, method, article or system including the element.

[0177] The serial numbers of the above-mentioned embodiments of the present application are for description only and do not represent the advantages or disadvantages of the embodiments.

[0178] Through the description of the above implementation methods, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus a necessary general hardware platform, and of course by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present application is essentially or the part that contributes to the prior art can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) as described above, and includes a number of instructions for a terminal device (which can be a mobile phone, computer, server, air conditioner, or network device, etc.) to execute the methods described in each embodiment of the present application.

[0179] The above are only preferred embodiments of the present application, and are not intended to limit the patent scope of the present application. Any equivalent structure or equivalent process transformation made using the contents of the present application specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present application.

Claims

1. A method for anti-interference signal, characterized in that: Applied to a first device, the first device includes a polarized array antenna, and the method includes: Acquire a first signal of the second device based on the transmitted signal, and identify interference information in the first signal to obtain an interference identification result; Sending parameter adjustment information corresponding to the interference identification result to the second device, and acquiring a second signal corresponding to the parameter adjustment information; Based on the second polarization information in the second signal, interference filtering is performed on the second signal.

2. The anti-interference signal method according to claim 1, characterized in that: The step of identifying interference information in the first signal to obtain an interference identification result includes: determining a signal-to-noise ratio value of the first signal; The preset threshold is compared with the signal-to-noise ratio value of the first signal to obtain the interference identification result.

3. The anti-interference signal method according to claim 2, characterized in that: The step of sending the parameter adjustment information corresponding to the interference identification result to the second device and acquiring the second signal corresponding to the parameter adjustment information includes: Determining parameter adjustment information based on the transmission parameters of the interference signal identified in the interference identification result; Sending the parameter adjustment information to the second device, so that the second device adjusts the transmission parameters of the transmitted signal according to the parameter adjustment information; Receive a second signal fed back by the second device after adjusting the transmission parameters.

4. The anti-interference signal method according to claim 2, characterized in that: The step of determining the signal-to-noise ratio value of the first signal comprises: Determine a desired signal vector value and an interference signal vector value according to first polarization information of the first signal, wherein the first polarization information or the second polarization information includes an amplitude ratio and a phase difference of the signal; A signal-to-noise ratio value of the first signal is calculated based on the expected signal vector value, the interference signal vector value and the noise signal vector value.

5. The anti-interference signal method according to claim 4, characterized in that: The step of determining the desired signal vector value and the interference signal vector value according to the first polarization information of the first signal includes: Multiplying the lag phase difference of the desired signal and the desired signal function to calculate the desired signal vector value; The lagging phase difference of the interference signal and the interference signal function are multiplied to obtain a plurality of interference vector products, and the plurality of interference vector products are added to calculate and obtain an interference signal vector value.

6. The anti-interference signal method according to claim 4, characterized in that: The step of calculating the signal-to-noise ratio data based on the expected signal vector value, the interference signal vector value and the noise signal vector value comprises: Adding the interference signal vector value to the noise signal vector value to obtain a total interference vector value; A ratio between the expected signal vector value and the total interference vector value is calculated to obtain a signal-to-noise ratio value of the first signal.

7. The anti-interference signal method according to claim 1, characterized in that: Before the step of sending the parameter adjustment information corresponding to the interference identification result to the second device, the method further includes: Determining the arrival direction information and the first polarization information of the first signal; Based on the arrival direction information and the first polarization information, interference signals in the first signal that do not match the preset arrival direction information and the preset polarization information of the polarization array antenna are filtered out.

8. The anti-interference signal method according to claim 1, characterized in that: There may be multiple second devices. When there are multiple second devices, signals of the multiple second devices are received and filtered in sequence according to the arrangement order of the second devices.

9. The anti-interference signal method according to claim 1, characterized in that: The polarized array antenna includes a planar array model and a cylindrical array model. The polarized array antenna is applied to the first device or the second device, and the array model applied to the first device or the second device is associated with the physical form of the set array antenna.

10. An anti-interference signal system, characterized in that: The anti-interference signal system includes a first device and a second device, wherein the first device also includes a polarization array antenna; The first device is used to: send a signal through the polarized array antenna or receive a signal sent by the second device, and perform interference identification and filtering on the received signal, wherein the polarized array antenna is a three-dimensional array antenna composed of a plurality of first arrays arranged uniformly, and the first array includes a plurality of uniformly arranged array elements; The second device is used to send or receive a signal, and adjust the sent signal according to the parameter adjustment information sent by the first device.

11. An anti-interference signal device, characterized in that: The device comprises: a memory, a processor, and an anti-interference signal program stored in the memory and executable on the processor, wherein the anti-interference signal program is configured to implement the steps of the anti-interference signal method according to any one of claims 1 to 9.

12. A computer storage medium, characterized in that: The computer storage medium stores an anti-interference signal program, and when the anti-interference signal program is executed by the processor, the steps of the anti-interference signal method according to any one of claims 1 to 9 are implemented.

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