Synthetic aperture radar echo frame loss detection method, system, medium and device

Abstract

The application provides a synthetic aperture radar echo frame loss detection method, system, medium and equipment, which comprises the following steps: step one, inputting SAR original echo data and system working parameters; step two, calculating an echo loss detection threshold; step three, calculating a range correlation coefficient of adjacent frames of input echo at each range moment; step four, comparing the adjacent frame correlation coefficient with the detection judgment threshold to determine whether the frame is lost; and step five, outputting a pulse loss detection result. The SAR echo frame loss detection method and system based on the range correlation designed by the application are aimed at the problem of SAR echo original frame loss caused by star-ground transmission and the like, a SAR echo frame loss diagnosis mechanism based on the range correlation is given, the automatic detection of SAR echo frame loss can be realized under the condition of no echo pulse number record, and the SAR image quality is effectively ensured.

Description

Technical Field

[0001] This invention relates to the field of signal and information processing technology, and more specifically, to a method, system, medium, and device for detecting frame loss in synthetic aperture radar echoes. Background Technology

[0002] Synthetic Aperture Radar (SAR) has been widely used in disaster prevention and mitigation, marine monitoring, and topographic mapping due to its all-weather, all-day, and high-resolution Earth observation capabilities. However, because data transmission between satellite and ground involves multiple links and is susceptible to atmospheric influences, the raw SAR echoes received from the ground often experience varying degrees of data frame loss. If frame loss is not checked before image processing, it can lead to problems such as image azimuth shift and degraded image quality, ultimately affecting subsequent applications of the SAR images.

[0003] Currently, regarding the problem of SAR echo data frame loss detection, the paper "Real-time Diagnosis and Fault-Tolerant Processing Method and System for SAR Pulse Frame Loss Based on PRF Counting" (202210062322.3) discloses a method and system for real-time diagnosis and fault-tolerant processing of SAR pulse frame loss based on pulse repetition frequency (PRF) counting. This method only uses the PRF count in the frame header for abnormal frame detection and cannot detect whether data within the frame is lost. For the problem of SAR raw echo frame loss, no publicly available diagnostic methods based on the characteristics of the echo data itself have been found, either domestically or internationally. The paper "A Glacier Identification Method Based on Coherence Coefficient Threshold" (CN201910813512.2) discloses a glacier identification method using a coherence coefficient threshold. This method identifies glaciers by utilizing the difference between the coherence coefficient of glaciers and the coherence coefficients of other ground features, but does not address the echo frame loss detection problem. The paper "A SAR Image Registration Connection Point Gross Error Removal Method" (CN201910813512.2) also addresses this issue. The paper "201711423278.X" discloses a method for image registration using coherence coefficients. This method uses the quality of the registration offset based on the coherence coefficients to screen for high-precision registration offsets, but it does not address the issue of echo frame loss detection. The paper "Automatic Selection Method for Ground Control Points in Synthetic Aperture Radar Interferometry" (CN201810340738.0) discloses an automatic selection method for ground control points in synthetic aperture radar interferometry based on coherence coefficients. This method uses the coherence coefficients to screen ground control points, but it does not address the issue of echo frame loss detection. The paper "A Method for Extracting Tree Height in Transmission Corridors Based on SAR Images" (CN201910568790.6) discloses a method for inverting tree height using the coherence coefficients of SAR images. This method inverts tree height based on the different coherence coefficients corresponding to different tree heights, but it does not address the issue of echo frame loss detection.

[0004] Therefore, a new technical solution is needed to improve the above-mentioned technical problems. Summary of the Invention

[0005] To address the shortcomings of existing technologies, the purpose of this invention is to provide a synthetic aperture radar echo frame loss detection method, system, medium, and device.

[0006] According to the present invention, a synthetic aperture radar echo frame loss detection method is provided, the method comprising the following steps:

[0007] Step S1: Input the raw echo data of synthetic aperture radar (SAR) and system operating parameters;

[0008] Step S2: Calculate the echo loss detection threshold;

[0009] Step S3: Calculate the azimuth correlation coefficient of adjacent frames of the input echo data frame by frame;

[0010] Step S4: Compare the echo correlation coefficient with the detection threshold to determine whether a frame has been dropped;

[0011] Step S5: Output pulse loss detection results.

[0012] Preferably, step S2 includes the following steps:

[0013] Step S2.1: Input SAR system operating parameters, including satellite velocity, radar two-way antenna pattern, and pulse repetition frequency;

[0014] Step S2.2: Calculate the theoretical value γ0 of the coherence coefficient of the azimuth echo signal without frame loss:

[0015]

[0016] In the formula, PRF is the pulse repetition frequency, A is the two-way antenna pattern, and f a The frequency is the Doppler frequency.

[0017] Step S2.3: Calculate the theoretical value γ1 of the coherence coefficient of the azimuth echo signal after the echo is lost by 1 frame:

[0018]

[0019] Step S2.4: Calculate the theoretical value γ2 of the coherence coefficient of the azimuth echo signal after the echo is lost for 2 frames:

[0020]

[0021] Step S2.5: Set the detection threshold γ using the coherence coefficients calculated in steps S2.2, S2.3, and S2.4. det :

[0022] γ det=α·γ0+(1-α)·max{γ1,γ2}

[0023] In the formula, α is the weighting coefficient, 0 < α ≤ 0.5, which can be adjusted automatically.

[0024] Preferably, step S3 includes the following steps:

[0025] Step S3.1: Calculate the correlation function C(nan) between adjacent echo frames frame by frame:

[0026]

[0027] In the formula, s is the echo signal, nan represents the nan-th frame in the azimuth direction, nrn represents the nrn-th sampling point in the range direction, and N r The distance to the point;

[0028] Step S3.2: Calculate the echo intensity and I(nan) of the nan-th frame:

[0029]

[0030] Step S3.3: Calculate the coherence coefficients of adjacent frames:

[0031]

[0032] Preferably, the echo frame loss judgment method in step S4 is as follows:

[0033] Such as γ(nan)>γ det If so, the current frame is continuous;

[0034] Such as γ(nan)<γ det This indicates that the current frame and the next frame are not continuous.

[0035] The present invention also provides a synthetic aperture radar echo frame loss detection system, the system comprising the following modules:

[0036] Module M1: Input raw synthetic aperture radar (SAR) echo data and system operating parameters;

[0037] Module M2: Calculates the echo loss detection threshold;

[0038] Module M3: Calculates the azimuth correlation coefficient between adjacent frames of the input echo data frame by frame;

[0039] Module M4: Compares the echo correlation coefficient with the detection threshold to determine whether a frame has been dropped;

[0040] Module M5: Outputs pulse loss detection results.

[0041] Preferably, module M2 includes the following modules:

[0042] Module M2.1: Input SAR system operating parameters, including satellite velocity, radar two-way antenna pattern, and pulse repetition frequency;

[0043] Module M2.2: Calculate the theoretical value γ0 of the coherence coefficient of the azimuth echo signal without frame loss.

[0044]

[0045] In the formula, PRF is the pulse repetition frequency, A is the two-way antenna pattern, and f a The frequency is the Doppler frequency.

[0046] Module M2.3: Calculate the theoretical value γ1 of the coherence coefficient of the azimuth echo signal after one frame of echo loss.

[0047]

[0048] Module M2.4: Calculate the theoretical value γ2 of the coherence coefficient of the azimuth echo signal after 2 frames of echo loss.

[0049]

[0050] Module M2.5: Sets the detection threshold γ using the coherence coefficients calculated in Modules M2.2, M2.3, and M2.4. det :

[0051] γ det =α·γ0+(1-α)·max{γ1,γ2}

[0052] In the formula, α is the weighting coefficient, 0 < α ≤ 0.5, which can be adjusted automatically.

[0053] Preferably, module M3 includes the following modules:

[0054] Module M3.1: Calculate the correlation function C(nan) between adjacent echo frames frame by frame.

[0055]

[0056] In the formula, s is the echo signal, nan represents the nan-th frame in the azimuth direction, nrn represents the nrn-th sampling point in the range direction, and N r The distance to the point;

[0057] Module M3.2: Calculate the echo intensity and I(nan) of the nan-th frame:

[0058]

[0059] Module M3.3: Calculate the coherence coefficients of adjacent frames:

[0060]

[0061] Preferably, the echo frame loss detection system in module M4:

[0062] Such as γ(nan)>γ det If so, the current frame is continuous;

[0063] Such as γ(nan)<γ det This indicates that the current frame and the next frame are not continuous.

[0064] The present invention also provides a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the steps of the synthetic aperture radar echo frame loss detection method described above.

[0065] The present invention also provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the computer program, when executed by the processor, implements the steps of the synthetic aperture radar echo frame loss detection method described above.

[0066] Compared with the prior art, the present invention has the following beneficial effects:

[0067] Based on the coherence coefficient between adjacent frames of SAR echo, this invention proposes a SAR echo data frame loss detection method based on azimuth coherence analysis. The method proposed in this invention has no additional design requirements for SAR system design, the processing method is simple, it can complete the frame continuity judgment without PRF counting, and it can effectively judge the data loss within the frame, with strong robustness and high timeliness. Attached Figure Description

[0068] Other features, objects, and advantages of the present invention will become more apparent from the following detailed description of non-limiting embodiments with reference to the accompanying drawings:

[0069] Figure 1 This is a graph showing the change of coherence coefficient between any two frames of SAR in this invention as a function of time interval.

[0070] Figure 2 This diagram illustrates the processing steps of the SAR echo frame loss detection method of the present invention.

[0071] Figure 3 This is a correlation coefficient diagram of the measured SAR data of this invention when no frames are lost;

[0072] Figure 4 This is a correlation coefficient diagram of the measured SAR data after frame loss according to the present invention. Detailed Implementation

[0073] The present invention will now be described in detail with reference to specific embodiments. These embodiments will help those skilled in the art to further understand the present invention, but do not limit the invention in any way. It should be noted that those skilled in the art can make several changes and improvements without departing from the concept of the present invention. These all fall within the protection scope of the present invention.

[0074] Example 1:

[0075] According to the present invention, a synthetic aperture radar echo frame loss detection method is provided, the method comprising the following steps:

[0076] Step S1: Input the raw echo data of synthetic aperture radar (SAR) and system operating parameters;

[0077] Step S2: Calculate the echo loss detection threshold;

[0078] Step S2.1: Input SAR system operating parameters, including satellite velocity, radar two-way antenna pattern, and pulse repetition frequency;

[0079] Step S2.2: Calculate the theoretical value γ0 of the coherence coefficient of the azimuth echo signal without frame loss:

[0080]

[0081] In the formula, PRF is the pulse repetition frequency, A is the two-way antenna pattern, and f a The frequency is the Doppler frequency.

[0082] Step S2.3: Calculate the theoretical value γ1 of the coherence coefficient of the azimuth echo signal after the echo is lost by 1 frame:

[0083]

[0084] Step S2.4: Calculate the theoretical value γ2 of the coherence coefficient of the azimuth echo signal after the echo is lost for 2 frames:

[0085]

[0086] Step S2.5: Set the detection threshold γ using the coherence coefficients calculated in steps S2.2, S2.3, and S2.4. det :

[0087] γ det =α·γ0+(1-α)·max{γ1,γ2}

[0088] In the formula, α is the weighting coefficient, 0 < α ≤ 0.5, which can be adjusted automatically.

[0089] Step S3: Calculate the azimuth correlation coefficient of adjacent frames of the input echo data frame by frame;

[0090] Step S3.1: Calculate the correlation function C(nan) between adjacent echo frames frame by frame:

[0091]

[0092] In the formula, s is the echo signal, nan represents the nan-th frame in the azimuth direction, nrn represents the nrn-th sampling point in the range direction, and N r The distance to the point;

[0093] Step S3.2: Calculate the echo intensity and I(nan) of the nan-th frame:

[0094]

[0095] Step S3.3: Calculate the coherence coefficients of adjacent frames:

[0096]

[0097] Step S4: Compare the echo correlation coefficient with the detection threshold to determine if a frame has been dropped; Echo frame drop determination method:

[0098] Such as γ(nan)>γ det If so, the current frame is continuous;

[0099] Such as γ(nan)<γ det This indicates that the current frame and the next frame are not continuous.

[0100] Step S5: Output pulse loss detection results.

[0101] The present invention also provides a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the steps of the synthetic aperture radar echo frame loss detection method described above.

[0102] The present invention also provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the computer program, when executed by the processor, implements the steps of the synthetic aperture radar echo frame loss detection method described above.

[0103] The present invention also provides a synthetic aperture radar (SAR) echo frame drop detection system, which can be implemented by executing the steps of the SAR echo frame drop detection method. That is, those skilled in the art can understand the SAR echo frame drop detection method as a preferred embodiment of the SAR echo frame drop detection system.

[0104] Example 2:

[0105] The present invention also provides a synthetic aperture radar echo frame loss detection system, the system comprising the following modules:

[0106] Module M1: Input raw synthetic aperture radar (SAR) echo data and system operating parameters;

[0107] Module M2: Calculates the echo loss detection threshold;

[0108] Module M2.1: Input SAR system operating parameters, including satellite velocity, radar two-way antenna pattern, and pulse repetition frequency;

[0109] Module M2.2: Calculate the theoretical value γ0 of the coherence coefficient of the azimuth echo signal without frame loss.

[0110]

[0111] In the formula, PRF is the pulse repetition frequency, A is the two-way antenna pattern, and f a The frequency is the Doppler frequency.

[0112] Module M2.3: Calculate the theoretical value γ1 of the coherence coefficient of the azimuth echo signal after one frame of echo loss.

[0113]

[0114] Module M2.4: Calculate the theoretical value γ2 of the coherence coefficient of the azimuth echo signal after 2 frames of echo loss.

[0115]

[0116] Module M2.5: Sets the detection threshold γ using the coherence coefficients calculated in Modules M2.2, M2.3, and M2.4. det :

[0117] γ det =α·γ0+(1-α)·max{γ1,γ2}

[0118] In the formula, α is the weighting coefficient, 0 < α ≤ 0.5, which can be adjusted automatically.

[0119] Module M3: Calculates the azimuth correlation coefficient between adjacent frames of the input echo data frame by frame;

[0120] Module M3.1: Calculate the correlation function C(nan) between adjacent echo frames frame by frame.

[0121]

[0122] In the formula, s is the echo signal, nan represents the nan-th frame in the azimuth direction, nrn represents the nrn-th sampling point in the range direction, and N r The distance to the point;

[0123] Module M3.2: Calculate the echo intensity and I(nan) of the nan-th frame:

[0124]

[0125] Module M3.3: Calculate the coherence coefficients of adjacent frames:

[0126]

[0127] Module M4: Compares the echo correlation coefficient with the detection threshold to determine if a frame has been dropped; Echo frame drop detection method:

[0128] Such as γ(nan)>γ det If so, the current frame is continuous;

[0129] Such as γ(nan)<γ det This indicates that the current frame and the next frame are not continuous.

[0130] Module M5: Outputs pulse loss detection results.

[0131] Example 3:

[0132] This invention provides a method for detecting frame loss in synthetic aperture radar echoes. By analyzing the coherence of echoes from adjacent frames, frame loss detection is achieved, ensuring the effectiveness of information in the imaging processing of the SAR system. This allows for more accurate acquisition of Earth observation images from the SAR system, and has the advantage of relying solely on echo data without requiring external auxiliary data.

[0133] The coherence coefficient between any two frames of a SAR echo is closely related to the time interval between those two frames.

[0134]

[0135] Figure 1 The curves showing the coherence coefficient between any two frames from the Land Observation-1 satellite as a function of the time interval between the two frames are presented. As can be seen from the figure, the coherence between the two frames decreases rapidly with increasing time interval. Therefore, the azimuth correlation coefficient can be used to detect SAR echo frame loss.

[0136] This invention discloses a synthetic aperture radar (SAR) echo frame loss detection method and system, which includes the following steps: Step 1, inputting raw SAR echo data and system operating parameters; Step 2, calculating the echo loss detection threshold; Step 3, calculating the azimuth correlation coefficient of adjacent frames of the input echo at each azimuth time step; Step 4, comparing the correlation coefficient of adjacent frames with the detection threshold to determine whether a frame has been lost; Step 5, outputting the pulse loss detection result.

[0137] The specific implementation steps of this invention are as follows: Figure 2 As shown, it specifically includes:

[0138] Step 1: Input the raw SAR echo data and system operating parameters;

[0139] The input raw SAR echo data dimensions are Na (azimuth) and Nr (range); the input SAR system operating parameters include the radar two-way antenna pattern and pulse repetition frequency.

[0140] Step 2: Calculate the echo loss detection threshold;

[0141] (1) Calculate the theoretical value γ0 of the coherence coefficient of the azimuth echo signal without frame loss;

[0142]

[0143] In the formula, PRF is the pulse repetition frequency, A is the two-way antenna pattern, and f a This is the Doppler frequency.

[0144] (2) Calculate the theoretical value γ1 of the coherence coefficient of the azimuth echo signal after the echo is lost by 1 frame;

[0145]

[0146] (3) Calculate the theoretical value of the coherence coefficient γ2 of the azimuth echo signal after the echo is lost for 2 frames;

[0147]

[0148] (4) Set the detection threshold γ using the coherence coefficients calculated in steps 2.2, 2.3, and 2.4. det .

[0149] γ det =α·γ0+(1-α)·max{γ1,γ2}

[0150] In the formula, α is the weighting coefficient, 0 < α ≤ 0.5, which can be adjusted as needed.

[0151] Step 3: Calculate the azimuth correlation coefficient of adjacent frames of the input echo data frame by frame;

[0152] Perform the following processing on each frame of the echo data from frame 1 to Na-1:

[0153] (1) Calculate the correlation function C(nan) of adjacent frames of the echo:

[0154]

[0155] In the formula, s is the echo signal, nan represents the nan-th frame in the azimuth direction, and nrn represents the nrn-th sampling point in the range direction.

[0156] (2) Calculate the echo intensity of the nan-th frame and I(nan):

[0157]

[0158] (3) Calculate the coherence coefficients of adjacent frames:

[0159]

[0160] Step 4: Compare the echo correlation coefficient with the detection threshold to determine whether a frame has been dropped.

[0161] The specific method for determining whether the echo has dropped frames is as follows:

[0162] Such as γ(nan)>γ det If so, the current frame is continuous;

[0163] Such as γ(nan)<γ det If the current frame is discontinuous with the next frame, then it means that the current frame is not continuous with the next frame.

[0164] Step 5: Output the pulse loss detection results;

[0165] Once all frames have been detected, the frame loss information for the entire echo data can be output.

[0166] This section uses LandScanner-1 SAR data to verify the effectiveness of the novel synthetic aperture radar (SAR) echo frame drop detection method proposed in this invention. The data was acquired in the Amazon rainforest, a typical uniform scene. The original data is continuous without frame drops, but to verify the frame drop detection effect of this invention, the 100th frame of the original data is discarded. Figure 3 The curves showing the azimuth correlation coefficient of echo data as a function of frame number when no frames are lost are presented. Figure 4 The curves showing the change in azimuth correlation coefficient of echo data with the number of frames after frame loss are presented. The detection threshold set by the algorithm disclosed in this invention is 0.14, which can detect that the 100th frame of the echo data has been lost. This experimental result verifies the effectiveness of this invention.

[0167] A SAR echo frame loss detection system according to the present invention is characterized by comprising:

[0168] Module M1 is used to input raw SAR echo data and system operating parameters;

[0169] Module M2 calculates the echo loss detection threshold;

[0170] Module M3 calculates the azimuth correlation coefficient between adjacent frames of the input echo data frame by frame;

[0171] Module M4 compares the echo correlation coefficient with the detection threshold to determine whether a frame has been dropped.

[0172] Module M5 outputs pulse loss detection results.

[0173] Preferably, the detection threshold in module M2 is calculated from the coherence coefficient between two adjacent signals in the azimuth direction after echo loss, including:

[0174] Module M2.1 is used to input SAR system operating parameters, including satellite velocity, radar two-way antenna pattern, and pulse repetition frequency.

[0175] Module M2.2 calculates the theoretical value γ0 of the coherence coefficient of the azimuth echo signal without frame loss.

[0176]

[0177] In the formula, PRF is the pulse repetition frequency, A is the two-way antenna pattern, and f a This is the Doppler frequency.

[0178] Module M2.3 calculates the theoretical value γ1 of the coherence coefficient of the azimuth echo signal after one frame of echo loss;

[0179]

[0180] Module M2.4 calculates the theoretical value γ2 of the coherence coefficient of the azimuth echo signal after the echo is lost for 2 frames;

[0181]

[0182] Module M2.5 uses the coherence coefficients calculated by modules M2.2, 2.3, and 2.4 to set the detection threshold γ. det .

[0183] γ det =α·γ0+(1-α)·max{γ1,γ2}

[0184] In the formula, α is the weighting coefficient, 0 < α ≤ 0.5, which can be adjusted as needed.

[0185] Preferably, the calculation of the azimuth correlation coefficient between adjacent frames of echo data by module M3 specifically includes:

[0186] Module M3.1 calculates the correlation function C(nan) between adjacent echo frames frame by frame:

[0187]

[0188] In the formula, s is the echo signal, nan represents the nan-th frame in the azimuth direction, and nrn represents the nrn-th sampling point in the range direction.

[0189] Module M3.2 calculates the echo intensity and I(nan) of the nan-th frame:

[0190]

[0191] Module M3.3 calculates the coherence coefficients of adjacent frames:

[0192]

[0193] Preferably, the echo frame loss judgment method described in module M4 is as follows: such as γ(nan) > γ det If γ(nan) < γ, then the current frame is continuous; det This indicates that the current frame and the next frame are not continuous.

[0194] Those skilled in the art can understand this embodiment as a more specific description of Embodiment 1 and Embodiment 2.

[0195] Those skilled in the art will understand that, besides implementing the system and its various devices, modules, and units provided by this invention in the form of purely computer-readable program code, the same functions can be achieved entirely through logical programming of the method steps, making the system and its various devices, modules, and units of this invention function in the form of logic gates, switches, application-specific integrated circuits, programmable logic controllers, and embedded microcontrollers. Therefore, the system and its various devices, modules, and units provided by this invention can be considered as a hardware component, and the devices, modules, and units included therein for implementing various functions can also be considered as structures within the hardware component; alternatively, the devices, modules, and units for implementing various functions can be considered as both software modules implementing the method and structures within the hardware component.

[0196] Specific embodiments of the present invention have been described above. It should be understood that the present invention is not limited to the specific embodiments described above, and those skilled in the art can make various changes or modifications within the scope of the claims, which do not affect the essence of the present invention. Unless otherwise specified, the embodiments and features described in this application can be arbitrarily combined with each other.

Claims

1. A synthetic aperture radar echo frame loss detection method, characterized in that, The method includes the following steps: Step S1: Input the raw echo data of synthetic aperture radar (SAR) and system operating parameters; Step S2: Calculate the echo loss detection threshold; Step S3: Calculate the azimuth correlation coefficient of adjacent frames of the input echo data frame by frame; Step S4: Compare the echo correlation coefficient with the detection threshold to determine whether a frame has been dropped; Step S5: Output pulse loss detection results; Step S2 includes the following steps: Step S2.1: Input SAR system operating parameters, including satellite velocity, radar two-way antenna pattern, and pulse repetition frequency; Step S2.2: Calculate the theoretical value of the coherence coefficient of the echo signal in the azimuth direction without frame loss of echoes : wherein is the pulse repetition frequency, is the two-way antenna pattern, is the Doppler frequency; Step S2.3: Calculate the coherent coefficient theoretical value of the azimuth direction echo signal after echo loss 1 frame : Step S2.4: Calculate the theoretical value of the coherence coefficient of the azimuth echo signal after the echo is lost for 2 frames. : Step S2.5: Set the detection threshold using the coherence coefficients calculated in steps S2.2, S2.3, and S2.

4. : In the formula, These are the weighting coefficients. It can adjust itself; Step S3 includes the following steps: Step S3.1: Calculate the correlation function between adjacent echo frames frame by frame. : In the formula, For echo signal, Indicates the direction to the first frame, Indicates distance to the first One sampling point, The distance to the point; Step S3.2: Calculate the first... Frame echo intensity and : Step S3.3: Calculate the coherence coefficients of adjacent frames: 。 2. The synthetic aperture radar echo frame loss detection method according to claim 1, characterized in that, The echo frame loss detection method in step S4: like If so, the current frame is continuous; like This indicates that the current frame and the next frame are not continuous.

3. A synthetic aperture radar echo frame loss detection system, characterized in that, The system includes the following modules: Module M1: Input raw synthetic aperture radar (SAR) echo data and system operating parameters; Module M2: Calculates the echo loss detection threshold; Module M3: Calculates the azimuth correlation coefficient between adjacent frames of the input echo data frame by frame; Module M4: Compares the echo correlation coefficient with the detection threshold to determine whether a frame has been dropped; Module M5: Outputs pulse loss detection results; Module M2 includes the following modules: Module M2.1: Input SAR system operating parameters, including satellite velocity, radar two-way antenna pattern, and pulse repetition frequency; Module M2.2: Calculate the theoretical value of the coherence coefficient of the azimuth echo signal without frame loss. : In the formula, The pulse repetition frequency, This is the radiation pattern of a two-way antenna. The frequency is the Doppler frequency. Module M2.3: Calculates the theoretical value of the coherence coefficient of the azimuth echo signal after one frame of echo loss. : Module M2.4: Calculate the theoretical value of the coherence coefficient of the azimuth echo signal after 2 frames of echo loss. : Module M2.5: Sets the detection threshold using the coherence coefficients calculated by modules M2.2, M2.3, and M2.

4. : In the formula, These are the weighting coefficients. It can adjust itself; Module M3 includes the following modules: Module M3.1: Calculates the correlation function between adjacent echo frames frame by frame. : In the formula, For echo signal, Indicates the direction to the first frame, Indicates distance to the first One sampling point, The distance to the point; Module M3.2: Calculate the first Frame echo intensity and : Module M3.3: Calculate the coherence coefficients of adjacent frames: 。 4. The synthetic aperture radar echo frame loss detection system according to claim 3, characterized in that, The echo frame loss detection system in module M4: like If so, the current frame is continuous; like This indicates that the current frame and the next frame are not continuous.

5. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, it implements the steps of the synthetic aperture radar echo frame loss detection method according to any one of claims 1 to 2.

6. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the computer program is executed by the processor, it implements the steps of the synthetic aperture radar echo frame loss detection method according to any one of claims 1 to 2.

Images