A distance fuzzy suppression method and device for multi-physics field parameter coupling constraints

Abstract

The present invention provides a method and device for range ambiguity suppression with multi-physics parameter coupling constraints, belonging to the field of radar technology. The method comprises: establishing a range ambiguity suppression model with multi-physics parameter coupling constraints, constructing an optimization model for solving the optimal weighting factor; using a ground near-field scanning antenna system ground state error acquisition method to obtain the ground state amplitude and phase errors of each radiating element; using a ground-based high-precision measurement method based on a calibration network to obtain the delay error; using an on-orbit calibration single TR traversal test method to obtain the on-orbit amplitude and phase error; and proposing a high-precision error compensation method based on the comprehensive ground state amplitude and phase error, delay error, and on-orbit amplitude and phase error to obtain an accurate on-orbit antenna pattern, thereby suppressing range ambiguity. The present invention can improve the control accuracy of the antenna pattern.

Description

Technical Field

[0001] The present invention relates to the field of radar technology, and in particular to a method and device for suppressing distance ambiguity with multi-physical field parameter coupling constraints. Background Art

[0002] Synthetic Aperture Radar (SAR) is an active sensor that uses microwave frequency signals for two-dimensional high-resolution imaging. It has the ability to penetrate clouds and ground objects and is widely used in resource exploration, disaster monitoring, and terrain mapping. However, spaceborne SAR systems often suffer from range ambiguity, which causes image "ghosting" and reduces image quality and system performance. This problem is caused by the sidelobes of the antenna pattern and the pulse pattern. Existing suppression methods such as transmit pulse coding, digital beamforming, and multi-elevation beamforming suffer from high system complexity or limited applicability. Although beamforming methods have potential, mask control methods are prone to falling into local optimality, and optimal beam synthesis methods suffer from additional performance losses. Summary of the Invention

[0003] In order to solve the above technical problems, the present invention provides a method and device for distance ambiguity suppression with multi-physical field parameter coupling constraints. The present invention proposes a distance ambiguity suppression model with multi-physical field parameter coupling constraints. By taking the minimization of fuzzy zone energy as the goal, it proposes constraints related to multiple factors such as orbital altitude, terrain characteristics, and pulse repetition period, constructs a fuzzy distribution matrix constraint matrix, and introduces a penalty function strategy. The penalty function is used to accurately control the global optimization distribution of the main lobe, fuzzy zone side lobe, and non-fuzzy sidelobe gain of large antennas, and converts the non-convex optimization problem of the traditional distance ambiguity suppression method into a convex optimization problem. In order to implement this method on-orbit, the present invention also proposes a high-precision error acquisition and compensation technology to compensate for the antenna system's ground state error, delay error, and on-orbit amplitude and phase error to improve the control accuracy of the directional pattern.

[0004] In order to achieve the above object, the present invention adopts the following technical solutions:

[0005] A distance fuzzy suppression method for multi-physics field parameter coupling constraints includes the following steps:

[0006] Step 1: Based on the causes of range ambiguity, a range ambiguity suppression model with multi-physics field parameter coupling constraints is established. By minimizing the energy in the fuzzy region, an optimization model is constructed to solve the optimal weighting factor. The non-convex optimization problem of the range ambiguity suppression method is converted into a convex optimization problem, and the global optimization distribution of the antenna main lobe, fuzzy region sidelobes, and unambiguous sidelobe gains is precisely controlled.

[0007] Step 2: Using the ground near-field scanning antenna system ground state error acquisition method, obtain the ground state amplitude and phase errors of each radiating unit;

[0008] Step 3: Use a high-precision ground measurement method based on a calibration network to obtain the delay error;

[0009] Step 4: Use the on-orbit calibration single TR traversal test method to obtain the on-orbit amplitude and phase errors; TR represents the transceiver component;

[0010] Step 5: Based on the base-state amplitude and phase errors in step 2, the delay error in step 3, and the on-track amplitude and phase errors in step 4, a high-precision error compensation method is proposed to suppress range ambiguity.

[0011] The present invention also provides a distance ambiguity suppression device with multi-physical field parameter coupling constraints, comprising the following modules:

[0012] The optimization module establishes a range ambiguity suppression model with multi-physics field parameter coupling constraints based on the causes of range ambiguity. By minimizing the energy in the fuzzy region, an optimization model is constructed to solve the optimal weighting factor. This converts the non-convex optimization problem of the range ambiguity suppression method into a convex optimization problem, and accurately controls the global optimization distribution of the antenna main lobe, fuzzy region sidelobes, and unambiguous sidelobe gains.

[0013] The base state amplitude and phase error acquisition module adopts the base state error acquisition method of the ground near-field scanning antenna system to obtain the base state amplitude and phase error of each radiating unit;

[0014] The delay error acquisition module uses a high-precision ground measurement method based on a calibration network to obtain the delay error;

[0015] The on-orbit amplitude and phase error acquisition module uses the on-orbit calibration single TR traversal test method to obtain the on-orbit amplitude and phase errors; TR represents the transceiver component;

[0016] The suppression module comprehensively considers the base state amplitude and phase error, delay error, and on-orbit amplitude and phase error, and proposes a high-precision error compensation method to suppress range ambiguity.

[0017] The present invention also provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and runnable on the processor. When the processor executes the program, the steps of the above-mentioned distance ambiguity suppression method with multi-physical field parameter coupling constraints are implemented.

[0018] The present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, the steps of the above-mentioned distance ambiguity suppression method with multi-physical field parameter coupling constraints are implemented.

[0019] Beneficial effects:

[0020] 1. Optimized range ambiguity suppression: By establishing a model with multi-physics field parameter coupling constraints and introducing a penalty function strategy, the non-convex optimization problem is transformed into a convex optimization problem. The global optimization distribution of the antenna main lobe, ambiguity area sidelobes, and unambiguous sidelobe gains is precisely controlled. This significantly reduces the antenna sidelobe gain in the range ambiguity area, effectively suppressing range ambiguity and improving image quality and system performance.

[0021] 2. High-Precision Error Compensation: A high-precision error acquisition and compensation technology is proposed, capable of measuring and compensating antenna system ground-state error, delay error, and on-orbit amplitude and phase errors. Through ground-based near-field scanning, calibration network measurements, and on-orbit calibration testing, various error data are acquired and compensated using optimal weighting factors, ultimately enabling the generation of high-precision, low-range ambiguity antenna patterns.

[0022] 3. Improve system adaptability and stability: This invention not only optimizes the range ambiguity suppression effect, but also enhances the adaptability and stability of the radar system in different working environments through high-precision error compensation technology, further improving the overall performance and application value of the spaceborne SAR system. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Figure 1 Schematic diagram of the method for obtaining the ground-state amplitude and phase errors of each radiation unit;

[0024] Figure 2 A schematic diagram of a method for obtaining the deviation of a delay amount of a delay device relative to a theoretical value;

[0025] Figure 3 This is the principle block diagram of an on-orbit satellite internal calibration system;

[0026] Figure 4 This is the application principle block diagram of high-precision error compensation technology;

[0027] Figure 5 The following are comparisons of the results before and after using the local shaping method proposed in the present invention; (a) shows the receiving pattern before and after optimization, (b) shows the two-way antenna pattern and the range ambiguity area, (c) shows the range ambiguity ratio, and (d) shows the excitation amplitude.

[0028] Figure 6 The figure compares the results before and after using the amplitude control proposed by the present invention; (a) shows the receiving pattern before and after optimization, (b) shows the two-way antenna pattern and the range ambiguity area, (c) shows the range ambiguity ratio, and (d) shows the excitation amplitude.

[0029] Figure 7Figure 1 shows the ground-state amplitude error results of each radiating element of the phased array antenna before and after error compensation. (a) shows the ground-state amplitude and phase error of each radiating element of the phased array antenna without calibration, and (b) shows the error data obtained using the proposed measurement method and the results after compensation through the beam control system.

[0030] Figure 8 Figure 1 shows the ground-state phase error results of each radiating element of the phased array antenna before and after error compensation. (a) shows the ground-state phase error of each radiating element of the phased array antenna without calibration, and (b) shows the error data obtained using the proposed measurement method and the result after compensation using the beam control system.

[0031] Figure 9 This is a flow chart of a distance ambiguity suppression method with multi-physics field parameter coupling constraints according to an embodiment of the present invention;

[0032] Figure 10 Schematic diagram of a distance ambiguity suppression device with multi-physical field parameter coupling constraints according to an embodiment of the present invention. DETAILED DESCRIPTION

[0033] In order to make the objectives, technical solutions and advantages of the present invention more clearly understood, the present invention is further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only intended to illustrate the present invention and are not intended to limit the present invention. In addition, the technical features involved in the various embodiments of the present invention described below may be combined with each other as long as they do not conflict with each other.

[0034] like Figure 9 As shown, an embodiment of the present invention provides a distance ambiguity suppression method with multi-physics field parameter coupling constraints, comprising the following steps:

[0035] Step 1: Based on the causes of distance ambiguity, a distance ambiguity suppression model with multi-physics field parameter coupling constraints is established, including:

[0036] By taking the minimization of fuzzy zone energy as the goal, the present invention proposes constraints related to multiple factors such as orbit altitude, terrain characteristics, and pulse repetition period, constructs a fuzzy distribution constraint matrix, and introduces a penalty function strategy. Through the penalty function, the global optimization distribution of the main lobe, fuzzy zone side lobe and unfuzzy sidelobe gains of large antennas is precisely controlled, and the non-convex optimization problem of the traditional distance ambiguity suppression method is converted into a convex optimization problem.

[0037] The optimization model for solving the optimal weighting factor is constructed as follows:

[0038] ;

[0039] in, Represents the weighting factor corresponding to solving the minimum fuzzy energy, represents the constraints, Indicates the The weighting factor obtained by the iteration, Indicates the inverse operation, represents the amplitude factor, represents the identity matrix, represents the penalty factor, represents the multi-physics coupling function; Represents coupling parameters, including height , down view , pulse sampling frequency and antenna height , represents the lower boundary of the main lobe, represents the upper boundary of the side lobe, represents the antenna power pattern function, represents the number of iterations, The weighting factor is a key parameter used to control the global optimization distribution of the antenna main lobe, ambiguity area side lobes, and unambiguous side lobe gains.

[0040] Since the addition of additional constraints does not directly interfere with the convergence of the optimization model, in order to suppress the distance ambiguity in various cases, two types of variant optimization models are proposed, namely local shaping and amplitude control:

[0041] 1. Local shaping:

[0042] Due to wide-band scanning and interference energy suppression, it is inevitable to impose hard constraints on the local power of the directional pattern in practical applications. Local shaping has certain shaping capabilities.

[0043] Taking the main lobe width constraint as an example, the following adjustments can be made:

[0044] ;

[0045] in, To optimize the goal, is the echo signal energy, is the distance blur correction matrix, is a symbolic function, is the motivation factor, is a positive constant factor, To take the real part function, It should be noted that in order to ensure the optimization efficiency of the algorithm, a series of shaped optimization methods including semidefinite relaxation methods must be applied to determine the initial weights.

[0046] 2. Amplitude control:

[0047] A common operating mode for phased array antennas is to fix the antenna excitation amplitude to a fixed form such as Taylor distribution and only weight the array element phase. This requires the algorithm to have stronger amplitude control capabilities, which can be achieved by adjusting some constraints:

[0048] ;

[0049] in, For the target signal energy, it is necessary to pay attention to the selection of the control amplitude should be reasonable, otherwise it will lead to situations such as the optimization problem has no solution.

[0050] Step 2: To accurately calculate the optimal weighting factor obtained by the optimization model above, , high-precision measurement and compensation of various errors are required. Therefore, the present invention proposes a ground near-field scanning antenna system ground state error acquisition method to obtain the ground state amplitude and phase errors of each radiating unit.

[0051] The fundamental amplitude and phase errors of each radiating unit are mainly caused by factors such as the flatness of the antenna subsystem, the inconsistency of the RF cable length, and the inconsistency of each channel of the delay TR component. The acquisition method is as follows: Figure 1 As shown in the figure, the test equipment consists of a near-field test system, a control computer, a high-precision scanning frame, RF cables, a scanning probe, a SAR antenna, a ground beam control, a vector network analyzer, and a DC power supply / distribution system. The SAR antenna is connected to the DC power supply / distribution system, the vector network, and the ground beam control. The vector network connects the probe on the scanning frame to the near-field test system. The ground beam control is connected to the near-field test system. The scanning frame is connected to the near-field test system. The near-field test system is connected to the control computer. The near-field test system controls the scanning probe to move in front of each antenna radiating element in a specified order, opens the corresponding TR channel, and uses the vector network to obtain the amplitude and phase of each radiating element, which is the ground-state amplitude and phase error of each radiating element.

[0052] Step 3: Propose a high-precision ground measurement method based on a calibration network to obtain the delay error;

[0053] The delay accuracy error of the delay device refers to the deviation of the delay amount of the delay device from the theoretical value. The method for obtaining it is as follows: Figure 2 shown. Figure 2 The test equipment shown in the figure consists of a control computer, a vector network analyzer, a SAR antenna, RF cables, a ground beam control (GBC), and a DC power supply. The GBC is used to iterate through the antenna system's delay units, one by one. Using a calibration network, the actual delay values ​​of all delay states are measured, serving as the basis for delay error compensation in the subsequent GBC code calculation process. The VNA is connected to the SAR antenna via the RF port and the calibration port.

[0054] Step 4: Propose an on-orbit calibration single TR traversal test method to achieve high-precision measurement and acquisition of on-orbit amplitude and phase errors;

[0055] After the satellite enters orbit, the amplitude and phase distribution of each radiating element of the antenna will change to a certain extent compared with the amplitude and phase distribution at normal temperature and pressure on the ground due to factors such as the deployment of the on-orbit antenna and temperature changes, which will lead to non-ideal antenna patterns. The central electronic equipment of the radar system is set to an internal calibration working mode. Through the on-orbit single TR calibration traversal test, the amplitude and phase distribution error of the antenna on-orbit can be obtained. The principle block diagram of the internal calibration system of an on-orbit satellite is shown below. Figure 3 Shown, including:

[0056] FM signal source, used for input signal source, the output signal is connected to the internal scaler and synchronous transceiver.

[0057] The internal scaler receives the signal from the FM signal source and connects it to the microwave combination. The internal scaler also includes a bridge and an antenna calibration port.

[0058] Synchronous transceiver, receives the signal from the FM signal source and connects to the microwave combination.

[0059] The pre-power amplifier receives the signal from the FM signal source and is connected to the microwave combination.

[0060] The microwave combination receives the signal from the internal scaler, synchronous transceiver and pre-power amplifier and sends the signal to the radar receiver.

[0061] Antenna calibration network (left), connected to the internal calibrator via the left wing calibration.

[0062] Antenna calibration network (right), connected to the microwave combiner via the right wing calibration.

[0063] Radar receiver, used to receive signals from the microwave combination.

[0064] Step 5: Based on the ground-state amplitude and phase errors in step 2, the delay error in step 3, and the on-orbit amplitude and phase errors in step 4, a high-precision error compensation method is proposed.

[0065] Based on the base state error, delay error and on-track amplitude and phase error of the antenna system obtained in steps 2-4, the corresponding wave control code is calculated. Then, it is read through the wave control extension and combined with the optimal weighting factor obtained in step 1. , ultimately achieving the generation of high-precision and low-range ambiguity antenna patterns.

[0066] The application principle block diagram of high-precision error compensation technology is as follows Figure 4 Shown, including:

[0067] First, error acquisition instructions and input are performed, and parameters are read and configured, including the measurement of base state amplitude and phase errors, delay errors, and on-orbit amplitude and phase errors.

[0068] Secondly, the beam control command is input, the system parameters are input and the optimal weighting factor data is read.

[0069] In these two steps, the beam control extension obtains the beam control code data through beam control code calculation and transmits the data to the antenna array end for execution.

[0070] Example 1

[0071] The embodiment is to perform simulation verification based on the parameters of a certain wave position of a certain satellite in orbit, so as to verify the feasibility of the method proposed in the present invention. Figure 5 The comparison of results before and after using the local shaping proposed by the present invention is shown. Figure 5 (a) shows the receiving pattern before and after optimization. Figure 5 (b) shows the two-way antenna pattern and the range ambiguity area. Figure 5 (c) represents the distance blur ratio, Figure 5 (d) represents the excitation amplitude. Figure 6 The comparison of results before and after using the amplitude control proposed by the present invention (i.e., the comparison of results without using the present invention and with using the present invention) is shown. Figure 6 (a) shows the receiving pattern before and after optimization. Figure 6 (b) shows the two-way antenna pattern and the range ambiguity area. Figure 6 (c) represents the distance blur ratio, Figure 6 (d) represents the excitation amplitude. Figure 5 (c) and Figure 6 From (c), it can be found that the right end of the range ambiguity ratio (RASR) curve is significantly reduced after applying the proposed correction method, which strongly proves the range ambiguity optimization capability of the method proposed in this invention.

[0072] Example 2

[0073] Figure 7 This is the result diagram of the ground state amplitude error of each radiating element of the phased array antenna before and after error compensation. Figure 7 (a) shows the ground-state amplitude and phase errors of each radiating element of the uncalibrated phased array antenna. It can be found that the error is about ±1dB. Figure 7 (b) shows the result after obtaining error data using the proposed measurement method and compensating it through the wave control system. It can be found that the amplitude error can be reduced to ±0.5dB. Figure 8 This is the result diagram of the ground state phase error of each radiating element of the phased array antenna before and after error compensation. Figure 8(a) shows the ground-state phase error of each radiating element of the uncalibrated phased array antenna. It can be found that the error is about ±20°. Figure 8 (b) shows the results after obtaining error data using the proposed measurement method and compensating through the wave control system. It can be found that the phase error can be reduced to ±5°.

[0074] like Figure 10 As shown, an embodiment of the present invention further provides a distance ambiguity suppression device with multi-physical field parameter coupling constraints, comprising the following modules:

[0075] The optimization module establishes a range ambiguity suppression model with multi-physics field parameter coupling constraints based on the causes of range ambiguity. By minimizing the energy in the fuzzy region, an optimization model is constructed to solve the optimal weighting factor. This converts the non-convex optimization problem of the range ambiguity suppression method into a convex optimization problem, and accurately controls the global optimization distribution of the antenna main lobe, fuzzy region sidelobes, and unambiguous sidelobe gains.

[0076] The base state amplitude and phase error acquisition module adopts the base state error acquisition method of the ground near-field scanning antenna system to obtain the base state amplitude and phase error of each radiating unit;

[0077] The delay error acquisition module uses a high-precision ground measurement method based on a calibration network to obtain the delay error;

[0078] The on-orbit amplitude and phase error acquisition module uses the on-orbit calibration single TR traversal test method to obtain the on-orbit amplitude and phase errors;

[0079] The suppression module comprehensively considers the base state amplitude and phase error, delay error, and on-orbit amplitude and phase error, and proposes a high-precision error compensation method to suppress range ambiguity.

[0080] An embodiment of the present invention also provides an electronic device, including a memory, a processor, and a computer program stored in the memory and runnable on the processor. When the processor executes the program, the steps of the above-mentioned distance ambiguity suppression method with multi-physical field parameter coupling constraints are implemented.

[0081] An embodiment of the present invention further provides a non-transitory computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, the steps of the above-mentioned distance ambiguity suppression method with multi-physical field parameter coupling constraints are implemented.

[0082] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Thus, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk drives, CD-ROMs, optical storage devices, etc.) containing computer-usable program code. The solutions in the embodiments of the present invention may be implemented using various computer languages, such as the object-oriented programming language Java and the interpreted scripting language JavaScript.

[0083] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowcharts and / or block diagrams, as well as combinations of processes and / or blocks in the flowcharts and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowcharts and / or block diagrams. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0084] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0085] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0086] Although the preferred embodiments of the present invention have been described, those skilled in the art may make additional changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0087] Obviously, those skilled in the art may make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if such changes and modifications fall within the scope of the claims and their equivalents, the present invention is intended to include such changes and modifications.

Claims

1. A distance fuzzy suppression method with multi-physics field parameter coupling constraints, characterized in that: The steps include: Step 1: Based on the causes of range ambiguity, a range ambiguity suppression model with multi-physics field parameter coupling constraints is established. By minimizing the energy in the fuzzy region, an optimization model is constructed to solve the optimal weighting factor. The non-convex optimization problem of the range ambiguity suppression method is converted into a convex optimization problem, and the global optimization distribution of the antenna main lobe, fuzzy region sidelobes, and unambiguous sidelobe gains is precisely controlled. The optimization model is constructed as follows: ； in, Represents the weighting factor corresponding to solving the minimum fuzzy energy, represents the constraints, Indicates the The weighting factor obtained by the iteration, Indicates the inverse operation, represents the amplitude factor, represents the identity matrix, represents the penalty factor, represents the multi-physics coupling function; Represents the coupling parameters, including height , down view , pulse sampling frequency and antenna height , represents the lower boundary of the main lobe, represents the upper boundary of the side lobe, represents the antenna power pattern function, represents the number of iterations, represents the matrix trace function; Step 2: Using the ground near-field scanning antenna system ground state error acquisition method, obtain the ground state amplitude and phase errors of each radiating unit; Step 3: Use a high-precision ground measurement method based on a calibration network to obtain the delay error; Step 4: Use the on-orbit calibration single TR traversal test method to obtain the on-orbit amplitude and phase errors; TR represents the transceiver component; Step 5: Based on the base-state amplitude and phase errors in step 2, the delay error in step 3, and the on-track amplitude and phase errors in step 4, a high-precision error compensation method is proposed to suppress range ambiguity.

2. The distance fuzzy suppression method for multi-physics field parameter coupling constraints according to claim 1 is characterized in that: In step 1, local shaping or amplitude control is adopted to meet the needs of different application scenarios.

3. The distance fuzzy suppression method for multi-physics field parameter coupling constraints according to claim 1 is characterized in that: In step 2, the method for obtaining the ground state error of the ground near-field scanning antenna system includes: obtaining the amplitude and phase of each radiating unit through a vector network analyzer, thereby obtaining the ground state amplitude and phase error of each radiating unit.

4. The distance fuzzy suppression method for multi-physics field parameter coupling constraints according to claim 1 is characterized in that: In step 3, the ground high-precision measurement method based on the calibration network includes: traversing and opening the delay devices of the antenna system one by one through ground wave control, and using the calibration network to test the actual delay amounts of all delay states of the delay devices, which is used as the basis for delay error compensation in the subsequent wave control code calculation process.

5. The distance ambiguity suppression method for multi-physics field parameter coupling constraints according to claim 1 is characterized in that: In step 4, the on-orbit calibration single TR traversal test method includes: after the satellite enters orbit, the on-orbit calibration single TR traversal test is performed through the internal calibration working mode set by the central electronic equipment of the radar system to obtain the antenna on-orbit amplitude and phase distribution errors.

6. The distance fuzzy suppression method for multi-physics field parameter coupling constraints according to claim 1 is characterized in that: In step 5, the high-precision error compensation method includes: calculating the corresponding wave control code based on the ground-state amplitude and phase error in step 2, the delay error in step 3, and the on-track amplitude and phase error in step 4, and combining it with the optimal weighting factor solved in step 1 to ultimately achieve the generation of a high-precision, low-range fuzzy antenna radiation pattern.

7. A distance fuzzy suppression device with multi-physics field parameter coupling constraints, characterized in that: Includes the following modules: The optimization module establishes a range ambiguity suppression model with multi-physics field parameter coupling constraints based on the causes of range ambiguity. By minimizing the energy in the fuzzy region, an optimization model is constructed to solve the optimal weighting factor. This converts the non-convex optimization problem of the range ambiguity suppression method into a convex optimization problem, and accurately controls the global optimization distribution of the antenna main lobe, fuzzy region sidelobes, and unambiguous sidelobe gains. The optimization model is constructed as follows: ； in, Represents the weighting factor corresponding to solving the minimum fuzzy energy, represents the constraints, Indicates the The weighting factor obtained by the iteration, Indicates the inverse operation, represents the amplitude factor, represents the identity matrix, represents the penalty factor, represents the multi-physics coupling function; Represents coupling parameters, including height , down view , pulse sampling frequency and antenna height , represents the lower boundary of the main lobe, represents the upper boundary of the side lobe, represents the antenna power pattern function, represents the number of iterations, represents the matrix trace function; The base state amplitude and phase error acquisition module adopts the base state error acquisition method of the ground near-field scanning antenna system to obtain the base state amplitude and phase error of each radiating unit; The delay error acquisition module uses a high-precision ground measurement method based on a calibration network to obtain the delay error; The on-orbit amplitude and phase error acquisition module uses the on-orbit calibration single TR traversal test method to obtain the on-orbit amplitude and phase errors; TR represents the transceiver component; The suppression module comprehensively considers the base state amplitude and phase error, delay error, and on-orbit amplitude and phase error, and proposes a high-precision error compensation method to suppress range ambiguity.

8. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the program, the steps of the distance ambiguity suppression method for multi-physical field parameter coupling constraints as described in any one of claims 1 to 6 are implemented.

9. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the distance ambiguity suppression method for multi-physical field parameter coupling constraints as claimed in any one of claims 1 to 6 are implemented.

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