Target Information Detection Method, Device, Equipment and Storage Medium

Abstract

The present invention discloses a method, apparatus, device and storage medium for target information detection. The method includes: performing analog-to-digital sampling on the first and second echo signals of the object to be measured through a single channel to obtain a mixed signal sequence; reconstructing the mixed signal sequence into first and second signal sequences based on the difference in the carrier frequencies of the first and second echo signals; performing transformation processing on the first and second signal sequences respectively to obtain first and second frequency spectrum sequences; performing frequency domain detection on the first and second frequency spectrum sequences to obtain first and second spectral peaks; detecting the target information of the object to be measured according to the frequency interval between the first and second spectral peaks. Since the present invention performs analog-to-digital sampling on the echo signal through a single channel to obtain a mixed signal sequence, and then performs reconstruction processing, transformation processing and frequency domain detection on the mixed signal sequence to obtain the target information of the object to be measured, the processing amount of data is reduced, the operation rate in the detection process is improved, and the radar hardware cost is reduced.

Description

Technical Field

[0001] The present invention relates to the field of radar detection, and particularly to a method, device, equipment and storage medium for detecting target information. Background Art

[0002] With the development of radar technology, the application fields of radar technology are becoming more and more extensive. Radar can not only be used for speed measurement, but also for ranging and direction finding. Conventional FSK radar uses quadrature dual-channel AD sampling to obtain a signal sequence with a 90° phase difference, and then reconstructs the signal sequences of two carriers. After Fourier transform processing and spectral peak search, the speed information, movement direction information and distance information of the target are obtained.

[0003] However, the data volume processed by the above conventional FSK radar detection method is large, resulting in a decrease in the system operation rate and an increase in the radar hardware cost. The spectrum of the signal sequence after single-channel AD sampling and FFT processing is a bilaterally symmetric spectrum. The way of obtaining distance information remains unchanged, but the movement direction is ambiguous. Therefore, how to reduce the data volume to be processed and determine the movement direction of the target, so as to improve the system operation rate and reduce the radar hardware cost, has become a problem to be solved.

[0004] The above content is only used to assist in understanding the technical solution of the present invention, and does not represent an admission that the above content is prior art. Summary of the Invention

[0005] The main object of the present invention is to provide a method, device, equipment and storage medium for detecting target information, aiming to solve the technical problem that the data volume processed by the conventional FSK radar detection method in the prior art is large, while the single-channel AD sampling cannot obtain the target movement information, resulting in a decrease in the system operation rate and an increase in the radar hardware cost.

[0006] To achieve the above object, the present invention provides a method for detecting target information, the method comprising the following steps:

[0007] Performing analog-to-digital sampling on the first echo signal and the second echo signal of the object to be measured through a single channel to obtain a mixed signal sequence;

[0008] Reconstructing the mixed signal sequence into a first signal sequence and a second signal sequence based on the carrier frequency difference between the first echo signal and the second echo signal;

[0009] Performing transformation processing on the first signal sequence and the second signal sequence respectively to obtain a first spectrum sequence and a second spectrum sequence;

[0010] Performing frequency-domain detection on the first spectrum sequence and the second spectrum sequence to obtain a first spectral peak and a second spectral peak;

[0011] Detect the target information of the object to be measured according to the frequency interval between the first spectral peak and the second spectral peak.

[0012] Optionally, the step of detecting the target information of the object to be measured according to the frequency interval between the first spectral peak and the second spectral peak includes:

[0013] When the frequency interval between the first spectral peak and the second spectral peak is less than a preset interval, determine the velocity information of the object to be measured according to the frequency mean value of the first spectral peak and the second spectral peak;

[0014] Determine the distance information and the motion direction information of the object to be measured according to the phase difference between the first spectral peak and the second spectral peak;

[0015] Use the velocity information, the distance information, and the motion direction information as the target information of the object to be measured.

[0016] Optionally, the step of determining the distance information and the motion direction information of the object to be measured according to the phase difference between the first spectral peak and the second spectral peak includes:

[0017] Determine the first phase angle of the first frequency spectrum sequence according to the first spectral peak, and determine the second phase angle of the second frequency spectrum sequence according to the second spectral peak;

[0018] Determine the phase difference between the first frequency spectrum sequence and the second frequency spectrum sequence according to the first phase angle, the second phase angle, and a preset phase compensation value;

[0019] Determine the distance information and the motion direction information of the object to be measured according to the phase difference.

[0020] Optionally, before the step of determining the phase difference between the first frequency spectrum sequence and the second frequency spectrum sequence according to the first phase angle, the second phase angle, and a preset phase compensation value, further include;

[0021] Determine the first peak serial number according to the first spectral peak, and determine the second peak serial number according to the second spectral peak;

[0022] Obtain the fixed length of the mixed signal sequence according to the mixed signal sequence;

[0023] Determine the preset phase compensation value according to the first peak serial number, the second peak serial number, and the fixed length.

[0024] Optionally, the step of obtaining the distance information and the motion direction information of the object to be measured according to the phase difference includes:

[0025] Determine the motion direction information of the object to be measured based on the angle range where the phase difference is located;

[0026] Determine the distance information of the object to be measured according to the phase difference, the speed of light, and the carrier frequency difference.

[0027] Optionally, the step of performing analog-to-digital sampling on the first echo signal and the second echo signal of the object to be measured through a single channel to obtain a mixed signal sequence includes:

[0028] Obtain a fixed sampling rate according to the frequency durations of the first echo signal and the second echo signal;

[0029] Based on the fixed sampling rate, perform analog-to-digital sampling on the first echo signal and the second echo signal of the object to be measured through a single channel to obtain a mixed signal sequence.

[0030] Optionally, before the step of respectively performing transformation processing on the first signal sequence and the second signal sequence to obtain a first frequency spectrum sequence and a second frequency spectrum sequence, it further includes:

[0031] Obtain a first mean value and a first maximum value of the first signal sequence, and obtain a second mean value and a second maximum value of the second signal sequence;

[0032] Correspondingly, the step of respectively performing transformation processing on the first signal sequence and the second signal sequence to obtain a first frequency spectrum sequence and a second frequency spectrum sequence includes:

[0033] When the difference between the first maximum value and the first mean value and the difference between the second maximum value and the second mean value are both greater than a preset threshold, respectively perform transformation processing on the first signal sequence and the second signal sequence to obtain a first frequency spectrum sequence and a second frequency spectrum sequence.

[0034] In addition, to achieve the above object, the present invention also proposes a target information detection device, and the device includes:

[0035] An analog-to-digital sampling module, configured to perform analog-to-digital sampling on the first echo signal and the second echo signal of the object to be measured through a single channel to obtain a mixed signal sequence;

[0036] A signal reconstruction module, configured to reconstruct the mixed signal sequence into a first signal sequence and a second signal sequence based on the carrier frequency difference between the first echo signal and the second echo signal;

[0037] A transformation processing module, configured to respectively perform transformation processing on the first signal sequence and the second signal sequence to obtain a first frequency spectrum sequence and a second frequency spectrum sequence;

[0038] A frequency domain detection module, configured to perform frequency domain detection on the first frequency spectrum sequence and the second frequency spectrum sequence to obtain a first spectral peak and a second spectral peak;

[0039] An information detection module, configured to detect target information of the object to be measured according to a frequency interval between the first spectral peak and the second spectral peak.

[0040] In addition, to achieve the above object, the present invention further provides a target information detection device, including: a memory, a processor, and a target information detection program stored on the memory and executable on the processor, where the target information detection program is configured to implement the steps of the above target information detection method.

[0041] In addition, to achieve the above object, the present invention further provides a target information detection storage medium, on which a target information detection program is stored, and when the target information detection program is executed by a processor, the steps of the above target information detection method are implemented.

[0042] The present invention performs analog-to-digital sampling on a first echo signal and a second echo signal of an object to be measured through a single channel to obtain a mixed signal sequence; reconstructs the mixed signal sequence into a first signal sequence and a second signal sequence based on a carrier frequency difference between the first echo signal and the second echo signal; performs transformation processing on the first signal sequence and the second signal sequence respectively to obtain a first frequency spectrum sequence and a second frequency spectrum sequence; performs frequency domain detection on the first frequency spectrum sequence and the second frequency spectrum sequence to obtain a first spectral peak and a second spectral peak; and detects target information of the object to be measured according to a frequency interval between the first spectral peak and the second spectral peak. Since the present invention performs analog-to-digital sampling on echo signals through a single channel to obtain a mixed signal sequence, then reconstructs the mixed signal sequence according to the carrier difference of the echo signals to obtain signal sequences, then performs transformation processing on the signal sequences respectively to obtain frequency spectrum sequences, then performs frequency domain detection on the frequency spectrum sequences to obtain spectral peaks, and obtains target information of the object to be measured according to the frequency interval of the spectral peaks, the processing amount of data is reduced, the operation rate in the detection process is improved, and the radar hardware cost is reduced. Description of the Drawings

[0043] Figure 1 It is a schematic structural diagram of a target information detection device for a hardware operating environment related to the solution of an embodiment of the present invention;

[0044] Figure 2 It is a schematic flowchart of a first embodiment of the target information detection method of the present invention;

[0045] Figure 3 It is a schematic flowchart of a second embodiment of the target information detection method of the present invention;

[0046] Figure 4 It is a schematic flowchart of a third embodiment of the target information detection method of the present invention;

[0047] Figure 5 Schematic diagram of the time-frequency signal of the FSK signal of the present invention;

[0048] Figure 6 Schematic diagram of the algorithm flow of the present invention;

[0049] Figure 7 Structural block diagram of the first embodiment of the target information detection device of the present invention.

[0050] The realization, functional characteristics and advantages of the object of the present invention will be further described with reference to the embodiments and the accompanying drawings. Specific embodiments

[0051] It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0052] Refer to Figure 1 , Figure 1 Schematic diagram of the device structure for detecting target information in the hardware operating environment related to the embodiment solution of the present invention.

[0053] Such as Figure 1 As shown, the target information detection device may include: a processor 1001, such as a central processing unit (CPU), a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. Among them, the communication bus 1002 is used to realize the connection and communication between these components. The user interface 1003 may include a display screen (Display), an input unit such as a keyboard (Keyboard), and optionally, the user interface 1003 may further include a standard wired interface and a wireless interface. The network interface 1004 may optionally include a standard wired interface and a wireless interface (such as a wireless-fidelity (WI-FI) interface). The memory 1005 may be a high-speed random access memory (Random Access Memory, RAM), or a stable non-volatile memory (Non-Volatile Memory, NVM), such as a disk memory. The memory 1005 may optionally be a storage device independent of the aforementioned processor 1001.

[0054] Those skilled in the art can understand that Figure 1 the structure shown in

[0055] does not constitute a limitation to the target information detection device, and may include more or fewer components than shown in the figure, or combine some components, or different component arrangements. Figure 1 As shown, the memory 1005, as a storage medium, may include an operating system, a network communication module, a user interface module, and a target information detection program.

[0056] In Figure 1 the target information detection device shown, the network interface 1004 is mainly used for data communication with a network server; the user interface 1003 is mainly used for data interaction with a user; the processor 1001 and the memory 1005 in the target information detection device of the present invention can be arranged in the target information detection device, and the target information detection device calls a target information detection program stored in the memory 1005 through the processor 1001 and executes the target information detection method provided by the embodiments of the present invention.

[0057] An embodiment of the present invention provides a target information detection method. Referring to Figure 2 , Figure 2 it is a schematic flowchart of the first embodiment of the target information detection method of the present invention.

[0058] In this embodiment, implementing the target information detection method includes the following steps:

[0059] Step S10: Perform analog-to-digital sampling on the first echo signal and the second echo signal of the object to be measured through a single channel to obtain a mixed signal sequence.

[0060] It should be noted that the method of this embodiment can be applied to the scenario of a radar detecting information of an object to be measured, or other scenarios that require information detection. The execution subject of this embodiment can be a target information detection device with data processing, network communication, and program running functions, such as a radar device, an object monitor, etc., or other devices that can implement the same or similar functions. Hereinafter, the above-mentioned target information detection device (hereinafter referred to as the device) is used to specifically illustrate this embodiment and the following various embodiments.

[0061] It can be understood that a single channel can mean that the device has only one channel, and this channel can be a channel for receiving signals; the object to be measured can be an object that the device emits a signal to and receives the above signal; the first echo signal can be the signal that the device emits a signal for the first time and the above signal is reflected back by the object to be measured; the second echo signal can be the signal that the device emits a signal for the second time and the above signal is reflected back by the object to be measured.

[0062] It should be understood that analog-to-digital sampling can be to sample the first echo signal and the second echo signal at fixed time intervals. For example: a sampling point can be set every 5 seconds, that is, the first echo signal and the second echo signal are sampled every 5 seconds, which can effectively reduce the amount of data processing; the mixed signal sequence can be to perform analog-to-digital sampling on the above first signal sequence and the above second signal sequence and combine the sampled signal sequences.

[0063] In a specific implementation, the device performs analog-to-digital sampling on the first echo signal and the second echo signal through a single channel. The obtained mixed signal sequence belongs to a part of the first echo signal and the second echo signal. At the same time, compared with the existing dual-channel sampling technology, single-channel sampling is half of the dual-channel sampling, reducing the amount of data processing. At the same time, analog-to-digital sampling also reduces the amount of data processing, improving the efficiency for subsequent operations.

[0064] Step S20: Based on the difference in the carrier frequencies of the first echo signal and the second echo signal, reconstruct the mixed signal sequence into a first signal sequence and a second signal sequence.

[0065] It can be understood that the carrier frequency can be a fixed frequency that can carry the above signals during signal transmission. For example, a signal consists of two parts. One part is the information part, which is the most important part of the signal and the content that the signal needs to convey. The other part is the carrier, which is a carrier responsible for providing a carrier for the information part. The transmission of the signal must have these two parts, and neither can be missing. The first signal sequence can be a signal sequence obtained from the first echo signal. The second signal sequence can be a signal sequence obtained from the second echo signal.

[0066] In a specific implementation, the device can separate the mixed signal sequence into a first signal sequence and a second signal sequence according to the difference in the carrier frequencies of the first echo signal and the second echo signal. Among them, the part belonging to the carrier frequency of the first echo signal is planned as the first signal sequence, and the part belonging to the carrier frequency of the second echo signal is planned as the second signal sequence.

[0067] Step S30: Perform transformation processing on the first signal sequence and the second signal sequence respectively to obtain a first spectrum sequence and a second spectrum sequence.

[0068] It can be understood that the transformation processing can be to perform processing on the above first signal sequence and second signal sequence using Fourier transform. Among them, Fourier transform can be a transformation that converts a signal into a spectrum according to the amplitude-frequency characteristics and phase-frequency characteristics of the signal.

[0069] It should be understood that the first spectrum sequence can be a spectrum sequence obtained by performing Fourier transform on the above first signal sequence according to the amplitude-frequency characteristics and phase-frequency characteristics of the first signal sequence. The second spectrum sequence can be a spectrum sequence obtained by performing Fourier transform on the above second signal sequence according to the amplitude-frequency characteristics and phase-frequency characteristics of the second signal sequence.

[0070] In a specific implementation, the device can perform Fourier transform processing according to the amplitude-frequency characteristics and phase-frequency characteristics of the first signal sequence and the second signal sequence to obtain a first spectrum sequence and a second spectrum sequence.

[0071] Step S40: Perform frequency-domain detection on the first frequency spectrum sequence and the second frequency spectrum sequence to obtain a first spectral peak and a second spectral peak.

[0072] It can be understood that the frequency-domain detection can be the detection of the signal frequency at different time points; the first spectral peak is the maximum value in a region of the first frequency spectrum sequence, and the spectral peak is composed of these several maximum values; the second spectral peak is the maximum value in a region of the second frequency spectrum sequence, and the spectral peak is composed of these several maximum values.

[0073] In a specific implementation, the device detects the frequencies of the first frequency spectrum sequence and the second frequency spectrum sequence at different time points, and obtains the first spectral peak and the second spectral peak according to the maximum values in the frequency regions.

[0074] Step S50: Detect the target information of the object to be measured according to the frequency interval between the first spectral peak and the second spectral peak.

[0075] It can be understood that the frequency interval can be the frequency difference between two signals, and this difference value is used as the above-mentioned frequency interval; the target information can be the speed information, distance information, and direction information of the object to be measured. For example, the speed information can be 20 m / s, the distance information can be 100 m, and the direction information can be approaching or moving away. This embodiment does not limit the units of the speed information and the distance information.

[0076] In a specific implementation, the device calculates according to the frequency difference between the first spectral peak and the second spectral peak. When the frequency difference is small, it can be determined that the detected object belongs to one object to be measured. At this time, the speed information, distance information, and direction information of the object to be measured are obtained.

[0077] In this embodiment, the device performs analog-to-digital sampling on the first echo signal and the second echo signal of the object to be measured through a single channel to obtain a mixed signal sequence; reconstructs the mixed signal sequence into a first signal sequence and a second signal sequence based on the difference in the carrier frequencies of the first echo signal and the second echo signal; performs transformation processing on the first signal sequence and the second signal sequence respectively to obtain a first frequency spectrum sequence and a second frequency spectrum sequence; performs frequency-domain detection on the first frequency spectrum sequence and the second frequency spectrum sequence to obtain a first spectral peak and a second spectral peak; detects the target information of the object to be measured according to the frequency interval between the first spectral peak and the second spectral peak. Since the present invention performs analog-to-digital sampling on the echo signal through a single channel to obtain a mixed signal sequence, then reconstructs the mixed signal sequence according to the carrier difference of the echo signal to obtain a signal sequence, then performs transformation processing on the signal sequence respectively to obtain a frequency spectrum sequence, then performs frequency-domain detection on the frequency spectrum sequence to obtain a spectral peak, and obtains the target information of the object to be measured according to the frequency interval of the spectral peak, the processing amount of data is reduced, the operation rate in the detection process is improved, and the radar hardware cost is reduced.

[0078] Reference Figure 3 , Figure 3 is a schematic flowchart of the second embodiment of the target information detection method of the present invention.

[0079] Based on the above first embodiment, in this embodiment, in order to solve the problem that the single channel cannot measure the target direction information subsequently, the step S50 includes:

[0080] Step S501: When the frequency interval between the first spectral peak and the second spectral peak is less than a preset interval, determine the speed information of the object to be measured according to the frequency mean value of the first spectral peak and the second spectral peak.

[0081] It can be understood that the preset interval can be a pre-set frequency interval, where the frequency interval can be the frequency difference between the above-mentioned first spectral peak and the second spectral peak; the frequency mean value can be the total frequency value obtained by adding all frequency values, and then divided by the number of frequencies to obtain the mean value; the speed can be the speed obtained by dividing the distance by the time, or the speed of the wave obtained by multiplying the wavelength by the frequency.

[0082] In a specific implementation, when the frequency difference between the above-mentioned first spectral peak and the second spectral peak is less than the pre-set frequency threshold, it is determined that the object to be measured belongs to the same object. At this time, according to the frequency mean values of the above-mentioned first spectral peak and the second spectral peak, multiplying the frequency mean value by the wavelength can obtain the speed information of the above-mentioned object to be measured.

[0083] Step S502: Determine the distance information and the movement direction information of the object to be measured according to the phase difference between the first spectral peak and the second spectral peak.

[0084] It can be understood that the phase difference can be the difference in the phases of two signal waves with the same frequency; the distance can be the difference in the distances between two objects, and the above-mentioned distance difference is used as the distance; the movement direction can be the direction of movement of the object.

[0085] In a specific implementation, the device can determine the distance information and the movement direction information of the object to be measured according to the phase difference between the above-mentioned first spectral peak and the second spectral peak.

[0086] Further, in order to illustrate the method for obtaining the above-mentioned phase difference, the above step S502 can further specifically include the following steps:

[0087] Step S502': Determine the first phase angle of the first frequency spectrum sequence according to the first spectral peak, and determine the second phase angle of the second frequency spectrum sequence according to the second spectral peak.

[0088] It can be understood that the phase angle can be a relative value relative to 0 degrees, and the above-mentioned relative value is used as the phase angle.

[0089] In a specific implementation, the device can obtain the first phase difference of the first frequency spectrum sequence based on the above-mentioned first spectral peak , and can obtain the second phase difference of the second frequency spectrum sequence based on the above-mentioned second spectral peak .

[0090] Step S502'': Determine the phase difference between the first frequency spectrum sequence and the second frequency spectrum sequence according to the first phase angle, the second phase angle and a preset phase compensation value

[0091] In a specific implementation, the device can, according to the above-mentioned first phase difference and the second phase difference , obtain the phase difference Δφ = - -2π , where 2π is the preset phase compensation value

[0092] Step S502''': Determine the distance information and the motion direction information of the object to be measured according to the phase difference

[0093] Furthermore, in order to illustrate the relationship between the above-mentioned phase difference and the distance and motion direction of the above-mentioned object to be measured, the above-mentioned step S502''' may further specifically include the following steps

[0094] Step S502'''a: Determine the motion direction information of the object to be measured based on the angular range where the phase difference is located

[0095] It can be understood that the angular range can be the range where the size of the indefinite angle is located. For example, if the angle is 70°, its range can be from 0° to 90°

[0096] In a specific implementation, the device determines whether the object to be measured is approaching or moving away by judging the range of the above-mentioned phase difference Δφ. When the above-mentioned phase difference is in the region of (0, π], it is determined that the motion direction of the above-mentioned object to be measured is away; when the above-mentioned phase difference is in the region of (π, 2π), it is determined that the motion direction of the above-mentioned object to be measured is approaching; when the above-mentioned phase difference is in the region of (-π, 0], it is determined that the motion direction of the above-mentioned object to be measured is approaching; when the above-mentioned phase difference is in the region of (-2π, -π], it is determined that the motion direction of the above-mentioned object to be measured is away

[0097] Step S502'''b: Determine the distance information of the object to be measured according to the phase difference, the speed of light and the carrier frequency difference

[0098] In a specific implementation, when the above-mentioned phase difference is in the region of (0, π], Δφ remains unchanged, and the distance R of the above-mentioned object to be measured ; When in the region of the above phase difference (π, 2π), ∆φ' = 2π - ∆φ, and the distance R of the object to be measured is ; When in the region of the above phase difference (-π, 0], ∆φ' = -∆φ, and the distance R of the object to be measured is ; When in the region of the above phase difference (-2π, -π], ∆φ' = 2π + ∆φ, and the distance R of the object to be measured is ; Where c is the speed of light and ∆f is the carrier frequency difference.

[0099] Step S503: Use the velocity information, the distance information, and the motion direction information as the target information of the object to be measured.

[0100] The device in this embodiment determines that the objects to be detected belong to the same object by determining that the difference in the frequency intervals between the above first spectral peak and the second spectral peak is less than a preset threshold, calculates the velocity of the object to be measured according to the frequency means of the above first spectrum and the second spectrum, then determines whether the object to be measured is approaching or moving away by judging the region range where the phase difference is located, and calculates the distance information of the above object through the phase difference, thus solving the problem that the single channel cannot measure the motion direction information of the target

[0101] Reference Figure 4 , Figure 4 is the flowchart of the third embodiment of the target information detection method of the present invention.

[0102] Based on the above first and second embodiments, in this embodiment, in order to illustrate the method for obtaining the preset phase compensation value and facilitate the calculation of the phase difference, before the step S502'', the following steps are further included:

[0103] Step S502''a: Determine the first peak sequence number according to the first spectral peak, and determine the second peak sequence number according to the second spectral peak.

[0104] In specific implementation, the device can determine the first peak sequence number according to the above first spectral peak ,and can determine the second peak sequence number according to the above second spectral peak ,According to and the Doppler frequency can be calculated ,where is the analog-to-digital sampling frequency of the device, and 2N is the length of the Doppler echo signal.

[0105] Step S502''b: Obtain the fixed length of the mixed signal sequence according to the mixed signal sequence.

[0106] It can be understood that the fixed length can be the length of the mixed signal sequence of 2N signal points.

[0107] Step S502''c: Determine a preset phase compensation value according to the first peak sequence number, the second peak sequence number, and the fixed length.

[0108] In a specific implementation, the device can use the above-mentioned first peak sequence number , the above-mentioned second peak sequence number , the analog-to-digital sampling frequency of the device, and the fixed length of the mixed signal sequence, and use the Doppler frequency calculation formula to obtain fd, and according to the phase compensation value calculation formula 2π to obtain the preset phase compensation value.

[0109] Furthermore, to illustrate the specific obtaining method of the mixed signal sequence, the above-mentioned step S10 may further specifically include the following steps:

[0110] Step S10a: Obtain a fixed sampling rate according to the frequency duration of the first echo signal and the second echo signal.

[0111] It can be understood that the frequency duration can be the time when the frequency exists from one moment to the disappearance moment; the fixed sampling rate can be the frequency of sampling the sample at a fixed time.

[0112] Step S20b: Based on the fixed sampling rate, perform analog-to-digital sampling on the first echo signal and the second echo signal of the object to be measured through a single channel to obtain a mixed signal sequence.

[0113] Refer to Figure 5 , Figure 5 which is a schematic diagram of the time-frequency signal of the FSK signal.

[0114] Wherein, f is the frequency axis, t represents the time axis, fa can be the frequency of the first echo signal, fb can be the frequency of the second echo signal, ta can be the sampling moment of the first echo signal, tb can be the sampling moment of the second echo signal, tm can be the duration of each echo signal, and ∆f can be the frequency difference between the frequency of the first echo signal and the frequency of the second echo signal. In this embodiment, the values and corresponding relationships of fa, fb, ta, tb, tm, and ∆f are not limited.

[0115] Furthermore, to determine whether the first signal sequence and the second signal sequence meet the conditions for change processing, before step S30, it further includes:

[0116] Step S21: Obtain the first mean value and the first maximum value of the first signal sequence, and obtain the second mean value and the second maximum value of the second signal sequence;

[0117] Step S22: Correspondingly, the step of respectively performing transformation processing on the first signal sequence and the second signal sequence to obtain a first frequency spectrum sequence and a second frequency spectrum sequence includes:

[0118] Step S23: When both the difference between the first maximum value and the first mean value and the difference between the second maximum value and the second mean value are greater than a preset threshold, respectively perform transformation processing on the first signal sequence and the second signal sequence to obtain a first frequency spectrum sequence and a second frequency spectrum sequence.

[0119] Refer to Figure 6 , Figure 6 which is a schematic diagram of the algorithm flow of this embodiment.

[0120] It includes a signal input module, a signal reconstruction module, a threshold detection module, an FFT processing module, a spectral peak search module, and an information calculation module.

[0121] The signal input module is used to receive echo signals and perform analog-to-digital acquisition operations on the received signals.

[0122] The signal reconstruction module is used to screen the mixed signals to obtain two columns of signals.

[0123] The threshold detection module is used to determine whether the objects to be measured are the same object.

[0124] The FFT processing module is used to convert the signals into frequency spectrum sequences.

[0125] The spectral peak search module is used to search the frequency spectrum sequence to obtain spectral peaks.

[0126] The information calculation module is used to calculate the speed information, distance information, and motion direction information of the objects to be measured.

[0127] The device of this embodiment obtains a preset phase compensation value through the peak sequence and according to the fixed length of the mixed sequence for subsequent calculation of the phase difference, and then obtains the difference by subtracting the mean value from the maximum value of the signal sequence. When the above difference is less than the preset threshold, a frequency spectrum sequence is obtained, reducing the errors in detecting the distance information, speed information, and motion direction information of the objects to be measured and improving the detection accuracy.

[0128] In addition, an embodiment of the present invention also proposes a storage medium, on which a target information detection program is stored. When the target information detection program is executed by a processor, the steps of the target information detection method described above are implemented.

[0129] Refer to Figure 7 , Figure 7 which is a structural block diagram of the first embodiment of the target information detection device of the present invention.

[0130] AsFigure 7 As shown in Figure 7 , the video animation generation device proposed in the embodiment of the present invention includes: an analog-to-digital sampling module 701, a signal reconstruction module 702, a transformation processing module 703, a frequency-domain detection module 704, and a signal detection module 705.

[0131] The analog-to-digital sampling module 701 is configured to perform analog-to-digital sampling on the first echo signal and the second echo signal of the object to be measured through a single channel, so as to obtain a mixed signal sequence;

[0132] The signal reconstruction module 702 is configured to reconstruct the mixed signal sequence into a first signal sequence and a second signal sequence based on the difference in the carrier frequencies of the first echo signal and the second echo signal;

[0133] The transformation processing module 703 is configured to perform transformation processing on the first signal sequence and the second signal sequence respectively, so as to obtain a first frequency spectrum sequence and a second frequency spectrum sequence;

[0134] The frequency-domain detection module 704 is configured to perform frequency-domain detection on the first frequency spectrum sequence and the second frequency spectrum sequence, so as to obtain a first spectral peak and a second spectral peak;

[0135] The signal detection module 705 is configured to detect the target information of the object to be measured according to the frequency interval between the first spectral peak and the second spectral peak.

[0136] In the present invention, analog-to-digital sampling is performed on the first echo signal and the second echo signal of the object to be measured through a single channel to obtain a mixed signal sequence; the mixed signal sequence is reconstructed into a first signal sequence and a second signal sequence based on the difference in the carrier frequencies of the first echo signal and the second echo signal; transformation processing is performed on the first signal sequence and the second signal sequence respectively to obtain a first frequency spectrum sequence and a second frequency spectrum sequence; frequency-domain detection is performed on the first frequency spectrum sequence and the second frequency spectrum sequence to obtain a first spectral peak and a second spectral peak; the target information of the object to be measured is detected according to the frequency interval between the first spectral peak and the second spectral peak. Since the present invention performs analog-to-digital sampling on the echo signal through a single channel to obtain a mixed signal sequence, then reconstructs the mixed signal sequence according to the carrier difference of the echo signal to obtain a signal sequence, then performs transformation processing on the signal sequence respectively to obtain a frequency spectrum sequence, then performs frequency-domain detection on the frequency spectrum sequence to obtain a spectral peak, and obtains the target information of the object to be measured according to the frequency interval of the spectral peak, the processing amount of data is reduced, the operation rate in the detection process is improved, and the radar hardware cost is reduced.

[0137] It should be noted that in this document, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, such that a process, method, article or system comprising a series of elements not only includes those elements but also other elements not expressly listed, or elements inherent to such process, method, article or system. Without further limitation, an element defined by the phrase "comprising an..." does not exclude the presence of additional identical elements in the process, method, article or system comprising such element.

[0138] The serial numbers of the above embodiments of the present invention are for description only and do not represent the superiority or inferiority of the embodiments.

[0139] Through the description of the above embodiments, those skilled in the art can clearly understand that the above embodiment methods can be implemented by means of software plus a necessary general hardware platform. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium as described above (such as ROM / RAM, magnetic disk, optical disk) and includes several instructions for causing a terminal device (which can be a mobile phone, computer, server, or network device, etc.) to execute the methods described in various embodiments of the present invention.

[0140] The above are only the preferred embodiments of the present invention, and do not limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made by using the specification and drawings of the present invention, or directly or indirectly applied in other related technical fields, shall be equally included in the patent protection scope of the present invention.

Claims

1. A method for detecting target information, characterized in that, The method includes the following steps: Performing analog-to-digital sampling on a first echo signal and a second echo signal of an object to be measured through a single channel to obtain a mixed signal sequence; Reconstructing the mixed signal sequence into a first signal sequence and a second signal sequence based on the difference in carrier frequencies between the first echo signal and the second echo signal, where the carrier frequency is the fixed frequency carrying the first echo signal and the second echo signal; Performing transformation processing on the first signal sequence and the second signal sequence respectively to obtain a first frequency spectrum sequence and a second frequency spectrum sequence; Performing frequency domain detection on the first frequency spectrum sequence and the second frequency spectrum sequence to obtain a first spectral peak and a second spectral peak; Detecting target information of the object to be measured according to the frequency interval between the first spectral peak and the second spectral peak; The step of performing analog-to-digital sampling on a first echo signal and a second echo signal of an object to be measured through a single channel to obtain a mixed signal sequence includes: Obtaining a fixed sampling rate according to the frequency duration of the first echo signal and the second echo signal, where the frequency duration is the time from one moment to the disappearance moment of the frequency; Based on the fixed sampling rate, performing digital-to-analog sampling on the first echo signal and the second echo signal of the object to be measured through a single channel to obtain a mixed signal sequence; Before the step of performing transformation processing on the first signal sequence and the second signal sequence respectively to obtain a first frequency spectrum sequence and a second frequency spectrum sequence, it further includes: Obtaining a first mean value and a first maximum value of the first signal sequence, and obtaining a second mean value and a second maximum value of the second signal sequence; The step of performing transformation processing on the first signal sequence and the second signal sequence respectively to obtain a first frequency spectrum sequence and a second frequency spectrum sequence includes: When the difference between the first maximum value and the first mean value and the difference between the second maximum value and the second mean value are both greater than a preset threshold, performing transformation processing on the first signal sequence and the second signal sequence respectively to obtain a first frequency spectrum sequence and a second frequency spectrum sequence.

2. The target information detection method according to claim 1, wherein The step of detecting target information of the object to be measured according to the frequency interval between the first spectral peak and the second spectral peak includes: When the frequency interval between the first spectral peak and the second spectral peak is less than a preset interval, determining the speed information of the object to be measured according to the frequency mean values of the first spectral peak and the second spectral peak; Determining the distance information and the movement direction information of the object to be measured according to the phase difference between the first spectral peak and the second spectral peak; Taking the speed information, the distance information, and the movement direction information as the target information of the object to be measured.

3. The target information detection method according to claim 2, wherein The step of determining the distance information and the movement direction information of the object to be measured according to the phase difference between the first spectral peak and the second spectral peak includes: Determining a first phase angle of the first frequency spectrum sequence according to the first spectral peak, and determining a second phase angle of the second frequency spectrum sequence according to the second spectral peak; Determining the phase difference between the first frequency spectrum sequence and the second frequency spectrum sequence according to the first phase angle, the second phase angle, and a preset phase compensation value; Determining the distance information and the movement direction information of the object to be measured according to the phase difference.

4. The target information detection method according to claim 3, wherein Before the step of determining the phase difference between the first frequency spectrum sequence and the second frequency spectrum sequence according to the first phase angle, the second phase angle and a preset phase compensation value, the method further includes: Determining a first peak sequence number according to the first spectral peak and determining a second peak sequence number according to the second spectral peak; Obtaining a fixed length of the mixed signal sequence according to the mixed signal sequence; Determining a preset phase compensation value according to the first peak sequence number, the second peak sequence number and the fixed length.

5. The target information detection method according to claim 3, wherein The step of determining the distance information and the motion direction information of the object to be measured according to the phase difference includes: Determining the motion direction information of the object to be measured based on the angular range where the phase difference is located; Determining the distance information of the object to be measured according to the phase difference, the speed of light and the carrier frequency difference.

6. A target information detection device, characterized in that, The device includes: An analog-to-digital sampling module, configured to perform analog-to-digital sampling on a first echo signal and a second echo signal of an object to be measured through a single channel to obtain a mixed signal sequence; A signal reconstruction module, configured to reconstruct the mixed signal sequence into a first signal sequence and a second signal sequence based on the difference in carrier frequencies between the first echo signal and the second echo signal; A transformation processing module, configured to perform transformation processing on the first signal sequence and the second signal sequence respectively to obtain a first frequency spectrum sequence and a second frequency spectrum sequence; A frequency domain detection module, configured to perform frequency domain detection on the first frequency spectrum sequence and the second frequency spectrum sequence to obtain a first spectral peak and a second spectral peak; An information detection module, configured to detect the target information of the object to be measured according to the frequency interval between the first spectral peak and the second spectral peak; The analog-to-digital sampling module is further configured to obtain a fixed sampling rate according to the frequency duration of the first echo signal and the second echo signal, where the frequency duration is the time from one moment to the disappearance moment of the frequency; based on the fixed sampling rate, perform digital-to-analog sampling on the first echo signal and the second echo signal of the object to be measured through a single channel to obtain a mixed signal sequence; The transformation processing module is further configured to obtain a first mean value and a first maximum value of the first signal sequence, and obtain a second mean value and a second maximum value of the second signal sequence; when the difference between the first maximum value and the first mean value and the difference between the second maximum value and the second mean value are both greater than a preset threshold, perform transformation processing on the first signal sequence and the second signal sequence respectively to obtain a first frequency spectrum sequence and a second frequency spectrum sequence.

7. A target information detection device, characterized in that, The device includes: a memory, a processor, and a target information detection program stored on the memory and executable on the processor, where the target information detection program is configured to implement the steps of the target information detection method according to any one of claims 1 to 5.

8. A storage medium, characterized in that, A target information detection program is stored on the storage medium, and when the target information detection program is executed by a processor, the steps of the target information detection method according to any one of claims 1 to 5 are implemented.

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