A large curved antenna micro-deformation measurement method

Abstract

The application discloses a kind of large curved surface antenna micro-deformation measurement methods, based on the space diversity technology of curved surface aggregation effect realizes the micro-deformation measurement of antenna.The method specifically includes: the detection area of curved surface antenna is divided into multiple small blocks to form the antenna array including multiple array elements;Beam scanning is carried out to the antenna array by phased array radar system, and initial phase information is obtained;Genetic algorithm is used to optimize the antenna array;Whether the optimization result reaches optimization goal or whether the preset iteration number is reached is judged, if yes, the optimization result is output, otherwise return to execute the previous step;Real-time beam scanning is carried out to the antenna array by phased array radar system, and based on current phase information and initial phase information, real-time antenna deformation is obtained.The application can realize real-time high-precision measurement of large curved surface antenna deformation.

Description

Technical Field

[0001] This invention belongs to the field of signal processing technology, specifically a method for measuring the micro-deformation of a large curved antenna. Background Technology

[0002] Flatness errors during antenna manufacturing and assembly can cause array deformation, ultimately leading to a deterioration in antenna electrical performance. The planar characteristics of a phased array antenna array directly determine the performance of a radar system. Even slight fluctuations in the relative positions of antenna array elements have a significant impact on the assembly accuracy and flatness of the antenna array. Array deformation caused by various factors, such as manufacturing and assembly errors, thermal power consumption, environmental temperature effects, and external loads like impact vibration and wind loads, has an increasingly significant impact on antenna performance, making the study of phased array antenna array deformation increasingly important. Conventional measurement methods are no longer sufficient for the installation and testing of new equipment. The development of high-precision measurement technologies and instruments has led to the gradual application of industrial measurement systems in various fields. Currently, the main methods for measuring the deformation of large antennas include total station measurement systems, theodolite measurement systems, and laser tracking measurement systems.

[0003] The laser tracking measurement system is an advanced dimensional accuracy measurement system. It can not only test the micro-deformation of large curved antennas, but also use its built-in atmospheric physics sensors to measure atmospheric pressure, temperature, and humidity, and compensate for the coordinate data to improve measurement accuracy. This system can perform tests while the antenna is in operation, and the measurement results accurately reflect the dimensional accuracy of the antenna under operating conditions. However, it requires contact measurement of large curved antennas, increasing the difficulty of engineering measurements. Furthermore, the laser tracker consists of a laser and a reflector, and this measuring instrument requires testing in an environment with uninterrupted light. If the light is interrupted, the system must return to the laser tracker's "zero point" and recalibrate before testing can continue. Therefore, this measurement method has very stringent environmental requirements.

[0004] The theodolite surveying system operates on the principle of measuring azimuth and elevation angles using an electronic theodolite. Since it lacks distance measurement capabilities, it requires the theoretical dimensions of two electronic theodolites and a calibration scale to calculate the coordinates of the measured point. This system is complex, and the accuracy of measuring micro-deformed surfaces is highly dependent on the observation level, significantly affected by the intersection angle, and has a low degree of automation.

[0005] The coordinate measuring machine (CMM) included in a total station surveying system is a general-purpose dimensional accuracy measuring device and is the most widely used. For large parts, especially large curved antennas, a sufficiently large CMM is required to meet the requirements. This system requires contact measurement, involves a huge workload, has low automation, requires real-time operation, and has high labor costs. Large curved antennas have low micro-deformation and very stringent accuracy requirements, which this system's low accuracy may not be able to meet. Summary of the Invention

[0006] The purpose of this invention is to address the problems existing in the prior art by providing a method for measuring the micro-deformation of large curved antennas, which achieves the measurement of the micro-deformation of the antenna based on the spatial diversity technique of curved surface focusing effect.

[0007] The technical solution for achieving the objective of this invention is: a method for measuring the micro-deformation of a large curved antenna, the method comprising the following steps:

[0008] Step 1: Divide the detection area of ​​the curved antenna into multiple small blocks to form an antenna array containing multiple array elements;

[0009] Step 2: Perform beam scanning on the antenna array using a phased array radar system to obtain initial phase information;

[0010] Step 3: Optimize the antenna array using a genetic algorithm;

[0011] Step 4: Determine whether the optimization result has reached the optimization objective or the preset number of iterations. If yes, output the optimization result; otherwise, return to the previous step.

[0012] Step 5: The phased array radar system performs beam scanning on the antenna array in real time, and obtains the antenna deformation in real time based on the current phase information and the initial phase information.

[0013] Furthermore, step 3, which involves optimizing the antenna array using a genetic algorithm, specifically includes the following process:

[0014] Step 3-1: Express the excitation and spacing d of each array element in real values. n This is then used as a gene, and individuals I are formed from the gene, with each individual having a length of N; subsequently, an initial population P and an initial crossover probability P0 are randomly generated. c Initial mutation probability P m and the initial number of iterations K;

[0015] Step 3-2: Design a fitness function according to the requirements for generating beams, substitute each individual into the fitness function, calculate the corresponding fitness value, and select the individual with the smallest fitness value as the optimal individual;

[0016] Step 3-3: The optimal fitness value and the best individual of each generation are retained, while other non-optimal individuals are selected to be inherited by the next generation.

[0017] Steps 3-4: Randomly generate genes for each individual and determine whether the generation probability of each gene is greater than the crossover probability. If so, the gene crossover occurs; otherwise, it does not.

[0018] Steps 3-5: Randomly generate genes for each individual and determine whether the generation probability of each gene is greater than the mutation probability. If so, the gene mutates; otherwise, it does not mutate.

[0019] Steps 3-6: Determine whether the set maximum number of iterations has been reached or whether the optimal fitness value remains unchanged. If so, terminate the iteration and take the individual with the best fitness in a certain generation as the global optimal solution.

[0020] Furthermore, the fitness function described in step 3-2 is:

[0021]

[0022] In the formula, c i These are weighting coefficients, summing to 1. f1 controls the sidelobes of the beam, and f2 controls the beamwidth. Further, the specific formula for f1 is:

[0023] f1 = |SLL max -SLL d | 2 / |SLL d | 2

[0024] In the formula, SLL max SLL d These represent the sidelobe values ​​obtained in each iteration of the pattern optimization process and the set ideal sidelobe values, respectively.

[0025] Furthermore, the specific formula for f2 is:

[0026] f2=|FNBW max -FNBW d | 2 / |FNBW d | 2

[0027] In the formula, FNBW max and FNBW d These represent the beamwidth value obtained in each optimization and the set ideal beamwidth value, respectively.

[0028] Furthermore, in step 3-3, other non-optimal individuals are selected by roulette wheel betting to see whether they pass on their traits to the next generation.

[0029] Furthermore, the phased array radar system includes a transmitting phased array front-end, a receiving front-end, a frequency synthesizer, a power divider, a wave controller, a digital signal processor, computer display and control software, and a power supply.

[0030] The front end of the transmitting phased array is used to illuminate the curved antenna in sections through the phased array.

[0031] The receiving front end is used to process the analog portion of the echo signal;

[0032] The frequency synthesizer is used to generate a reference clock, a local oscillator signal, and a transmit excitation signal for the radar system.

[0033] The digital processor is used to acquire, process, and control the transmission and reception timing of the echo signal to obtain phase information; it is also used to execute a genetic algorithm to optimize the antenna array.

[0034] The power divider is used to divide the power of the local oscillator signal and the transmitted excitation signal;

[0035] The beam controller is used to receive control commands from the display and control software, control the phase shifters and amplitude attenuation of each transmission channel, and realize beam scanning.

[0036] The computer display and control software is used to send control commands and display real-time processing information;

[0037] The power distribution source is used to provide the required voltage to each component.

[0038] Furthermore, the receiving front end adopts multi-channel wide-beam reception, with one receiving antenna installed in the same position as the transmitting antenna, and the other n receiving antennas placed at the center of n equally divided areas, and located in the same plane as the transmitting antenna.

[0039] Furthermore, the digital processor includes a high-speed signal acquisition module, a digital IQ demodulator, a data processing module, and a timing control module;

[0040] The high-speed signal acquisition module is used to acquire echo signals;

[0041] The digital IQ demodulator is used to demodulate the baseband signal;

[0042] The data processing module is used to process the echo signal to obtain phase information;

[0043] The timing control module is used to control the transmission and reception timing.

[0044] Furthermore, when the digital processing module processes the echo signal to obtain phase information, it employs a phase unwrapping algorithm, a leakage and surrounding environmental interference error correction algorithm, and a multiple measurement averaging algorithm.

[0045] On the other hand, a large curved antenna micro-deformation measurement system is provided, the system including a phased array radar system and a host computer;

[0046] The phased array radar system is used to optimize the curved antenna array under test to obtain the optimal array element excitation and spacing; it is also used to perform beam scanning on the antenna array to obtain phase information and calculate the antenna deformation based on the phase information.

[0047] The host computer is equipped with display and control software, which is used to send control commands and display real-time processing information.

[0048] Compared with the prior art, the significant advantages of this invention are:

[0049] (1) This invention, based on sparse arrays, achieves a larger array aperture and narrower beamwidth with the same number of array elements, thus enabling higher resolution, through sparse array technology. Furthermore, sparse arrays do not require additional attenuators and phase shifters to achieve low sidelobe characteristics, overcoming the hardware design difficulties caused by an excessive number of array elements. The use of non-uniformly spaced sparse array antennas significantly reduces costs, especially for millimeter-wave phased arrays, where single-channel T-components are expensive. Through sparse optimization array arrangement, a beamwidth of better than 2° and a scanning range greater than 60° are achieved with 64 antenna elements.

[0050] (2) The relative displacement change of the antenna surface is measured by a 3mm phased array hardware system, which has high accuracy and strong real-time performance.

[0051] (3) A high-precision relative displacement measurement algorithm is adopted, and sampling digital frequency conversion processing is used, which simplifies the system structure, reduces the system cost, and improves the measurement accuracy.

[0052] (4) Employ phase unwrapping algorithm, leakage and surrounding environment interference error correction algorithm, and multiple measurement averaging algorithm to improve phase measurement accuracy, thereby further improving deformation measurement accuracy.

[0053] (5) Compared with conventional beamforming algorithms and adaptive algorithms, the optimization algorithm of this invention can simultaneously optimize multiple variables (beamwidth, sidelobe level) and can change the array element positions during the optimization process, thereby further improving the beam performance of the array. In addition, compared with the adaptive algorithm, the numerical range of the sidelobe level can be clearly optimized and kept within a certain range.

[0054] The present invention will now be described in further detail with reference to the accompanying drawings. Attached Figure Description

[0055] Figure 1 This is a schematic diagram of the operation of a large curved antenna micro-deformation measurement system.

[0056] Figure 2 This is a flowchart of the antenna array optimization design.

[0057] Figure 3 This is a flowchart of a genetic algorithm.

[0058] Figure 4 This is a schematic diagram of the optimization results of 64 array elements in one embodiment, wherein... Figure 4 (a) in the diagram represents the optimized array element positions. Figure 4 (b) in the diagram represents the optimized array element excitation.

[0059] Figure 5 This is an optimized array pattern in one embodiment, where θ is the azimuth angle. The pitch angle, Figure 5 In (a), θ = 0°. Slope view, Figure 5 (b) in the middle is Angle view of the direction, Figure 5 In this context, (c) represents θ = 30°. Slope view, Figure 5 In this context, (d) represents θ = 30°. Angle view in the direction of time.

[0060] Figure 6 This is a block diagram of the phased array radar principle.

[0061] Figure 7 This is a schematic diagram of the system's digital I / Q demodulator. Detailed Implementation

[0062] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.

[0063] This invention provides a method for measuring the micro-deformation of large curved antennas, combined with Figure 1 The basic principle is as follows: the detection area of ​​the large curved antenna is divided into multiple small blocks. The radar system uses beam scanning to test different blocks. The phased array system is used to perform phase shifting to ensure full coverage of the narrow beam, ensuring better than 5µm within 1m×1m and better than 20µm within a diameter of 5m.

[0064] In one embodiment, a method for measuring the micro-deformation of a large curved antenna is provided, combined with... Figure 2 Specifically, it includes the following steps:

[0065] Step 1: Divide the detection area of ​​the curved antenna into multiple small blocks to form an antenna array containing multiple array elements;

[0066] Step 2: Perform beam scanning on the antenna array using a phased array radar system to obtain initial phase information;

[0067] Step 3: Optimize the antenna array using a genetic algorithm;

[0068] Step 4: Determine whether the optimization result has reached the optimization objective or the preset number of iterations. If yes, output the optimization result; otherwise, return to the previous step.

[0069] Step 5: The phased array radar system performs beam scanning on the antenna array in real time, and obtains the antenna deformation in real time based on the current phase information and the initial phase information.

[0070] Here, the optimization objectives of step 3 are: 1. To keep the sidelobes of the radiation pattern within the specified range Sd; 2. To ensure that the beamwidth is less than the specified bandwidth W. d Optimization content: 1. Array spacing; 2. Array element excitation; Optimization conditions: set according to specific scenarios.

[0071] Furthermore, in one embodiment, combined with Figure 3 Step 3, which involves optimizing the antenna array using a genetic algorithm, specifically includes the following process:

[0072] Step 3-1: Express the excitation and spacing d of each array element in real values. n This is then used as a gene, and individuals I are formed from the gene, with each individual having a length of N; subsequently, an initial population P and an initial crossover probability P0 are randomly generated. c Initial mutation probability P m and the initial number of iterations K;

[0073] Step 3-2: Design a fitness function according to the requirements for generating beams, substitute each individual into the fitness function, calculate the corresponding fitness value, and select the individual with the smallest fitness value as the optimal individual;

[0074] Step 3-3: The optimal fitness value and the best individual of each generation are retained, and other non-optimal individuals are selected to be inherited by the next generation through roulette wheel betting.

[0075] Steps 3-4: Randomly generate genes for each individual and determine whether the generation probability of each gene is greater than the crossover probability. If so, the gene crossover occurs; otherwise, it does not.

[0076] Steps 3-5: Randomly generate genes for each individual and determine whether the generation probability of each gene is greater than the mutation probability. If so, the gene mutates; otherwise, it does not mutate.

[0077] Steps 3-6: Determine whether the set maximum number of iterations has been reached or whether the optimal fitness value remains unchanged. If so, terminate the iteration and take the individual with the best fitness in a certain generation as the global optimal solution.

[0078] Here, the fitness function mentioned in step 3-2 is:

[0079]

[0080] In the formula, c i These are weighting coefficients, and their sum is 1.

[0081] Where f1 is used to control the sidelobes of the beam, the specific formula is:

[0082] f1 = |SLL max -SLL d | 2 / |SLL d | 2

[0083] In the formula, SLL max SLL d These represent the sidelobe values ​​obtained in each iteration of the pattern optimization process and the set ideal sidelobe values, respectively.

[0084] f2 is used to control the beam width, and the specific formula is as follows:

[0085] f2=|FNBW max -FNBW d | 2 / |FNBW d | 2

[0086] In the formula, FNBW max and FNBW d These represent the beamwidth value obtained in each optimization and the set ideal beamwidth value, respectively.

[0087] For example, the optimization conditions are set as follows: number of array elements 64, array element position range 0-32λ, array element excitation amplitude 0-1, and beamwidth <2°. Figure 4 The results show the optimization results of the genetic algorithm. (a) shows the array position arrangement, and (b) shows the array excitation settings. Figure 5 This is the optimized radiation pattern. As can be seen from the image, through optimization by the genetic algorithm, the radiation pattern performance of the array meets the design requirements, and the beamwidth is maintained at about 2° within the 0-30° angle range.

[0088] Furthermore, in one embodiment, the phased array radar system is preferably a 3mm phased array radar, combined with Figure 6 It includes the transmitting phased array front end, receiving front end, frequency synthesizer, power divider, wave controller, digital signal processor, computer display and control software, and power distribution power supply;

[0089] The front end of the transmitting phased array is used to illuminate the curved antenna in a regional manner through the phased array; (Here, for the example above, the front end of the transmitting array has 32 antenna elements in both azimuth and elevation, and each antenna element corresponds to one transmitting component, for a total of 64 transmitting components).

[0090] The receiving front end is used to process the analog part of the echo signal; (Here, for the example above, the receiving front end has a total of 5 channels, and each receiver adopts a superheterodyne structure, including a low noise amplifier, a local oscillator drive amplifier, a mixer and an intermediate frequency amplifier).

[0091] The frequency synthesizer is used to generate a reference clock, a local oscillator signal, and a transmit excitation signal for the radar system.

[0092] The digital processor is used to acquire, process, and control the transmission and reception timing of the echo signal to obtain phase information; it is also used to execute a genetic algorithm to optimize the antenna array.

[0093] The power divider is used to divide the power of the local oscillator signal and the transmitted excitation signal;

[0094] The beam controller is used to receive control commands from the display and control software, control the phase shifters and amplitude attenuation of each transmission channel, and realize beam scanning.

[0095] The computer display and control software is used to send control commands and display real-time processing information;

[0096] The power distribution source is used to provide the required voltage to each component.

[0097] Furthermore, the receiving front end adopts multi-channel wide-beam reception, with one receiving antenna installed in the same position as the transmitting antenna, and the other n receiving antennas placed at the center of n equally divided areas, and located in the same plane as the transmitting antenna.

[0098] The purpose of adding a central receiving antenna here is to improve the measurement accuracy of the core area by simultaneously measuring the core area through multiple receiving branches.

[0099] Furthermore, the digital processor includes a high-speed signal acquisition module, a digital IQ demodulator, a data processing module, and a timing control module;

[0100] The high-speed signal acquisition module is used to acquire echo signals;

[0101] The digital IQ demodulator is used to demodulate the baseband signal;

[0102] The data processing module is used to process the echo signal to obtain phase information;

[0103] The timing control module is used to control the transmission and reception timing.

[0104] This section introduces the high-precision relative displacement measurement algorithm used in this invention. The accuracy of relative displacement measurement is determined by the phase measurement accuracy and wavelength. To improve the accuracy of relative displacement measurement, the wavelength can be reduced and the phase measurement accuracy improved. In the system design, the operating frequency is set to 93 GHz, and the wavelength is only 3.2 mm. To further improve the accuracy of relative displacement measurement, high-precision phase measurement technology needs to be addressed. IQ imbalance is a key factor affecting phase measurement. To improve the amplitude and phase imbalance problem of the IQ demodulator, a digital IQ scheme is adopted to completely solve the amplitude and phase imbalance problem of the IQ demodulator, thereby improving the phase measurement accuracy of the system. In general receivers, baseband signals are obtained by demodulating analog demodulators. The system processes baseband signals using another method, namely digitization technology. This technology can transform the analog processing of baseband signals into digital signal processing. In this way, the baseband signal is demodulated directly in the digital domain, making full use of the functions of digital circuits. It can demodulate various signals with different modulation methods, providing great flexibility. The system block diagram is shown in Figure 7. As can be seen from the figure, it also has two frequency conversions, but the second frequency conversion and filtering are processed using digital technology. After the first mixing, the signal is filtered, amplified, and then converted into a digital signal by an A / D converter. This digital signal is then multiplied by two orthogonal digitized local oscillator signals, and finally filtered to obtain the desired baseband IQ signal. Phase information is obtained from the IQ signal. Compared to analog IQ demodulators, digital IQ demodulators offer advantages such as convenience, flexibility, and high amplitude and phase consistency. In addition to the digital IQ algorithm, this invention also employs a phase unwrapping algorithm, a leakage and environmental interference error correction algorithm, and a multiple measurement averaging algorithm. These algorithms improve the accuracy of phase measurement, thereby enhancing the precision of deformation measurement.

[0105] In one embodiment, a micro-deformation measurement system for a large curved antenna is provided, the system comprising a phased array radar system and a host computer;

[0106] The phased array radar system is used to optimize the curved antenna array under test to obtain the optimal array element excitation and spacing; it is also used to perform beam scanning on the antenna array to obtain phase information and calculate the antenna deformation based on the phase information; preferably, the phased array radar system is placed directly in front of the center of the curved antenna under test.

[0107] The host computer is equipped with display and control software, which is used to send control commands and display real-time processing information.

[0108] Here, the integrated display and control software is mainly used to control radar calibration, radar operation, radar data interaction, two-dimensional deformation data display, and data storage. The host computer and the digital processor communicate via an RS485 interface, with the host computer receiving the processing results from the digital processor and sending control commands to it.

[0109] Specific limitations regarding the large curved antenna micro-deformation measurement system can be found in the limitations of the large curved antenna micro-deformation measurement method described above, and will not be repeated here. Each module in the aforementioned large curved antenna micro-deformation measurement system can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in or independent of the processor in a computer device, or stored in the computer device's memory as software, so that the processor can call and execute the corresponding operations of each module.

[0110] The specific working principle of the system is as follows: First, the system undergoes calibration. During calibration, the antenna is in its initial state (normal temperature and pressure). The control software controls the transmitting phased array to scan the entire area to be measured, and simultaneously controls the corresponding receiver to receive the echo signal. The signal processor obtains the initial phase (i.e., calibration distance) of each area and saves it in the host computer. During actual measurement, the control software sends the area to be measured to the wave controller and receiving front-end. The wave controller controls the phase shift degree and amplitude attenuation of each phase shifter according to the control code, controlling the transmitting beam to point to the area to be measured. The receiving circuit selects the corresponding receiving branch according to the control code, receiving the echo reflected from the corresponding area of ​​the curved antenna. After various analog and signal processing, the real-time phase is obtained and compared with the calibration phase stored in the host computer to obtain the relative displacement of the measurement area relative to the calibration time, thus obtaining the deformation value of the curved antenna relative to its initial state at this time.

[0111] The foregoing has shown and described the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The embodiments and descriptions in the specification are merely illustrative of the principles of the invention. Any modifications, equivalent substitutions, or improvements made within the spirit and principles of the present invention without departing from its spirit and scope should be included within the protection scope of the present invention.

Claims

1. A method for measuring the micro-deformation of a large curved antenna, characterized in that, The method includes the following steps: Step 1: Divide the detection area of ​​the curved antenna into multiple small blocks to form an antenna array containing multiple array elements; Step 2: Perform beam scanning on the antenna array using a phased array radar system to obtain initial phase information; Step 3: Optimize the antenna array using a genetic algorithm; Step 4: Determine whether the optimization result has reached the optimization objective or the preset number of iterations. If yes, output the optimization result; otherwise, return to the previous step. Step 5: The phased array radar system performs beam scanning on the antenna array in real time, and obtains the antenna deformation in real time based on the current phase information and the initial phase information. The specific process includes: Step 3-1: Express the excitation and spacing of each array element in real values. And treat it as a gene, from which individuals are formed. Each individual has a length of N; then an initial population is randomly generated. Initial crossover probability Initial mutation probability and the initial number of iterations K; Step 3-2: Design a fitness function according to the requirements for generating beams, substitute each individual into the fitness function, calculate the corresponding fitness value, and select the individual with the smallest fitness value as the optimal individual; Step 3-3: The optimal fitness value and the best individual of each generation are retained, while other non-optimal individuals are selected to be inherited by the next generation. Steps 3-4: Randomly generate genes for each individual and determine whether the generation probability of each gene is greater than the crossover probability. If so, the gene crossover occurs; otherwise, it does not. Steps 3-5: Randomly generate genes for each individual and determine whether the generation probability of each gene is greater than the mutation probability. If so, the gene mutates; otherwise, it does not mutate. Steps 3-6: Determine whether the set maximum number of iterations has been reached or the optimal fitness value remains unchanged. If so, terminate the iteration and take the individual with the best fitness in a certain generation as the global optimal solution. The fitness function mentioned in step 3-2 is: ； In the formula, These are weighting coefficients, and their sum is 1. Used to control the sidelobes of the beam. Used to control the beam width; The The specific formula is: ； In the formula, , These represent the sidelobe values ​​obtained in each iteration of the pattern optimization process and the set ideal sidelobe values, respectively. The The specific formula is: ； In the formula, and These represent the beamwidth value obtained in each optimization and the set ideal beamwidth value, respectively. In step 3-3, other non-optimal individuals are selected by roulette wheel betting to determine whether to pass on their traits to the next generation; When the data processing module processes the echo signal to obtain phase information, it employs a phase unwrapping algorithm, a leakage and surrounding environmental interference error correction algorithm, and a multiple measurement averaging algorithm.

2. The method for measuring the micro-deformation of a large curved antenna according to claim 1, characterized in that, The phased array radar system includes a transmitting phased array front-end, a receiving front-end, a frequency synthesizer, a power divider, a wave controller, a digital signal processor, computer display and control software, and a power supply. The front end of the transmitting phased array is used to illuminate the curved antenna in sections through the phased array. The receiving front end is used to process the analog portion of the echo signal; The frequency synthesizer is used to generate a reference clock, a local oscillator signal, and a transmit excitation signal for the radar system. The digital signal processor is used to acquire, process, and control the transmission and reception timing of the echo signal to obtain phase information; it is also used to execute a genetic algorithm to optimize the antenna array. The power divider is used to divide the power of the local oscillator signal and the transmitted excitation signal; The beam controller is used to receive control commands from the display and control software, control the phase shifters and amplitude attenuation of each transmission channel, and realize beam scanning. The computer display and control software is used to send control commands and display real-time processing information; The power distribution source is used to provide the required voltage to each component.

3. The method for measuring the micro-deformation of a large curved antenna according to claim 2, characterized in that, The receiving front end adopts multi-channel wide-beam reception, with one receiving antenna installed in the same position as the transmitting antenna, and the other n receiving antennas placed at the center of n equally divided areas, and located in the same plane as the transmitting antenna.

4. The method for measuring the micro-deformation of a large curved antenna according to claim 2, characterized in that, The digital signal processor includes a high-speed signal acquisition module, a digital IQ demodulator, a data processing module, and a timing control module; The high-speed signal acquisition module is used to acquire echo signals; The digital IQ demodulator is used to demodulate the baseband signal; The data processing module is used to process the echo signal to obtain phase information; The timing control module is used to control the transmission and reception timing.

5. A large curved surface antenna micro-deformation measurement system based on the method of any one of claims 1 to 4, characterized in that, The system includes a phased array radar system and a host computer; The phased array radar system is used to optimize the curved antenna array under test to obtain the optimal array element excitation and spacing; it is also used to perform beam scanning on the antenna array to obtain phase information and calculate the antenna deformation based on the phase information. The host computer is equipped with display and control software, which is used to send control commands and display real-time processing information.

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