Method and system for testing performance parameters of a laser guidance device

Abstract

The present application relates to the technical field of laser guidance equipment test, and particularly relates to a performance parameter test method and system of laser guidance equipment, wherein the present application is characterized in that: the test system is calibrated with high precision, three groups of standardized test modules are configured according to the parameters to be tested, the whole system is realized to be in collaborative action through distributed synchronous control, the whole link data is collected and recorded synchronously, the noise equivalent power, comprehensive axis deviation, dynamic tracking accuracy and anti-interference performance factor are calculated through the multi-parameter parallel analysis engine processing, the core index is automatically compared with the preset threshold, the comprehensive rating is completed and the standardized evaluation report is generated, the once clamping and full-process automatic test are realized, the efficiency and data consistency are greatly improved, the quantitative assessment can be completed by simulating the real confrontation scene, and the present application is suitable for the comprehensive performance test and type approval of laser semi-active guidance equipment.

Description

Technical Field

[0001] This invention relates to the field of laser-guided equipment testing technology, specifically to a method and system for testing the performance parameters of laser-guided equipment. Background Technology

[0002] Laser semi-active guidance equipment is a core component of precision-guided weapons. Its optical performance, detection sensitivity, dynamic tracking accuracy and anti-jamming capability directly determine the weapon's hit accuracy and battlefield applicability. Current performance tests need to cover multiple key parameters such as field of view, optical axis, sensitivity, tracking characteristics, and anti-jamming, but existing testing methods have obvious shortcomings. Existing tests are highly discrete. Optical, electrical, and dynamic tracking parameters need to be tested separately on multiple sets of dedicated equipment such as optical platforms, anechoic chamber integrating spheres, and three-axis turntables. Repeated disassembly, assembly, and calibration take several days and are prone to introducing clamping errors, which reduces the consistency and reliability of the results. At the same time, static and dynamic tests are disconnected from each other, making it impossible to simultaneously assess the multi-parameter correlation performance and system robustness in real scenarios such as target maneuvering, echo attenuation, code switching, and background and interference coupling. Furthermore, the testing process relies on manual operation and interpretation, the configuration of stimulus conditions is cumbersome and the switching is inflexible, and there is a lack of data parallel processing and automatic comprehensive evaluation capabilities. The level of intelligence is low. For key performance aspects such as complex background capture and anti-deception / suppression interference, there is a lack of standardized adversarial test scenarios that can be quantitatively reproduced and traced, making it difficult to achieve objective quantitative evaluation and failing to meet the requirements of high-precision, practical, and high-efficiency testing and acceptance.

[0003] To address the aforementioned shortcomings, a technical solution is provided. Summary of the Invention

[0004] To address the aforementioned shortcomings of existing technologies, this invention provides a method and system for testing the performance parameters of laser-guided equipment. This method and system enable integrated, automated, and scenario-based testing. After mounting the guidance equipment once, multi-dimensional performance parameters are continuously and synchronously acquired through programmable comprehensive test scenarios, significantly improving testing efficiency, consistency, and evaluation depth.

[0005] To achieve the above objectives, the present invention can be implemented through the following technical solutions: This invention provides a method for testing the performance parameters of a laser-guided device, comprising the following steps: S1. Before the test begins, perform a high-precision integrated calibration of the entire system; S2. Based on the combination of parameters to be tested, configure three sets of standardized test modules, namely Module A, Module B and Module C; S3. Collect and record full-link data, including the guidance equipment frame angle feedback signal, the four raw photoelectric signals of the four quadrant detectors, the decoded output signal, the miss distance command signal, and the real-time status parameters of all excitation sources. S4. Perform parallel processing and index calculation on the collected end-link data to obtain noise equivalent power, comprehensive axis deviation, dynamic tracking accuracy and anti-interference performance factor; S5. Automatically compare the noise equivalent power, comprehensive axis deviation, dynamic tracking accuracy, and anti-interference performance factor with the corresponding preset qualified thresholds to comprehensively evaluate the performance of the guidance equipment and generate a comprehensive performance evaluation report.

[0006] Furthermore, the calibration includes: spatial alignment calibration of the laser optical axis emitted by the dynamic target simulator and its mechanical motion axis; zero-position calibration and linkage calibration of the guidance equipment carrier turntable and each motion axis of the dynamic target simulator; incident spatial position calibration of the background light simulation source and the interference laser simulation source; and time base unification of the entire system's acquisition equipment and control equipment.

[0007] Furthermore, in module A, the target simulator remains stationary and aligned with the center of the guidance device's line of sight. The laser echo energy gradually increases from zero to detector saturation according to a logarithmic law. During the test, the background light intensity is adjusted synchronously to simulate different natural background radiation, and the original output signal of the four-quadrant detector is acquired at high speed throughout the process.

[0008] Furthermore, in module B, the target simulator moves according to a preset sinusoidal frequency sweep, spiral, or typical evasive maneuver trajectory. The laser echo energy changes dynamically according to the simulated distance-reflectivity attenuation curve. The laser pulse code switches at a fixed period and injects deception interference with the same code at a specified time.

[0009] Furthermore, in module C, the target is captured from outside the field of view by the guidance device and cuts into the field of view at the maximum permissible angular velocity. The background is switched to a low-contrast texture, and multi-channel asynchronous coded interference lasers are applied simultaneously.

[0010] Furthermore, the noise equivalent power is calculated as follows: based on the data collected by module A, the response curve of the signal-to-noise ratio as a function of the incident laser energy is plotted, the minimum incident laser energy required to reach the specified signal-to-noise ratio threshold is determined, and the noise equivalent power is calculated accordingly.

[0011] Furthermore, the comprehensive axis deviation is solved as follows: by scanning the target spot across the entire field of view of the detector, combined with the frame angle feedback signal of the guidance equipment, the angular sensitivity curve is accurately plotted and the field of view boundary is determined to obtain the acquisition field of view angle and the tracking field of view angle. At the same time, the deviation between the optical axis, the mechanical axis and the electrical zero point is calculated to determine the comprehensive axis deviation.

[0012] Furthermore, the solution for dynamic tracking accuracy is as follows: For the dynamic test data of module B, frequency domain analysis is performed with the target angular position as input and the guidance equipment frame angle as output. The amplitude frequency and phase frequency characteristics are obtained by using the sinusoidal frequency sweep method to determine the tracking bandwidth corresponding to -3dB. At the same time, the root mean square value of the tracking residual is calculated as the dynamic tracking accuracy.

[0013] Furthermore, the solution for the anti-interference performance factor is as follows: based on repeated test data from module C, the number of successful acquisitions is counted and the acquisition probability is calculated. The delay time from when the target enters the target and meets the conditions to when stable tracking is achieved is measured to obtain the acquisition time. By comparing the changes in the tracking accuracy or acquisition time of the guidance device under conditions of interference, the anti-interference performance factor is quantitatively calculated.

[0014] Furthermore, a performance parameter testing system for a laser-guided device includes: The calibration unit is used for high-precision integrated calibration of the entire system; The comprehensive test scenario unit is used to configure three standardized test modules, namely Module A, Module B and Module C, according to the combination of parameters to be tested. The full data acquisition unit is used to collect and record full-link data, including the guidance equipment frame angle feedback signal, the four raw photoelectric signals of the four quadrant detectors, the decoded output signal, the miss distance command signal, and the real-time status parameters of all excitation sources. The data analysis unit is used to perform parallel processing and index calculation on the collected end-to-end data to obtain noise equivalent power, comprehensive axis deviation, dynamic tracking accuracy and anti-interference performance factor. The result output unit is used to automatically compare the noise equivalent power, comprehensive axis deviation, dynamic tracking accuracy, and anti-interference performance factor with the corresponding preset qualified thresholds to comprehensively evaluate the performance of the guidance equipment and generate a comprehensive performance evaluation report.

[0015] The technical solution provided by this invention has the following advantages compared with the known prior art: 1. This invention, through high-precision composite motion simulation and full-parameter programmable laser echo simulation, can complete the entire process of performance testing, including optical characteristics, detection sensitivity, dynamic tracking, and decoding anti-interference, in one system and one clamping. It shortens the traditional discrete testing that takes several days to several hours, improving efficiency by more than 70%, while completely eliminating clamping errors caused by repeated disassembly and assembly, ensuring stable and reliable test results. 2. This invention adopts a scenario-driven test scenario approach, which can flexibly construct complex dynamic environments with target maneuvering, energy fluctuations, code switching, and multi-source interference coupling. It can conduct in-depth, realistic, and reproducible assessments of the comprehensive performance and limit boundaries of guidance equipment, making it more in line with the requirements of actual combat use. 3. This invention significantly reduces manual intervention through parallel parsing and test report generation of end-to-end data acquisition. The parallel analysis engine can deeply mine data correlations, achieve comprehensive extraction of multi-dimensional performance indicators, and provide a more objective and in-depth evaluation. 4. This invention provides repeatable, quantifiable, and traceable test conditions for key performance aspects such as anti-deception interference and complex background target acquisition through precise and controllable multi-source interference simulation and variable background simulation. This enables the performance evaluation to shift from qualitative judgment to quantitative evaluation, thereby improving the scientific rigor and authority of the test results. Attached Figure Description

[0016] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0017] Figure 1 This is a flowchart of the main steps of the testing method described in this invention.

[0018] Figure 2 This is a schematic diagram of the overall architecture and composition of the testing system described in this invention. Detailed Implementation

[0019] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative effort are within the scope of protection of the present invention.

[0020] like Figure 1 As shown, a method for testing the performance parameters of a laser-guided device includes the following steps: S1. System Integration Calibration and Guidance Equipment Clamping: Before the test begins, a high-precision integration calibration is performed on the entire system to ensure spatial alignment, timing synchronization, and unified measurement reference. Specific calibration contents include: spatial alignment calibration of the laser optical axis emitted by the dynamic target simulator and its mechanical motion axis; zero-position calibration and linkage calibration of each motion axis of the guidance equipment carrier turntable and the dynamic target simulator; incident spatial position calibration of the background light simulation source and the interference laser simulation source; and time base unification of the entire system's acquisition equipment and control equipment. After calibration, the semi-active laser guidance device under test is securely mounted on the triaxial test turntable. Reliable connections are made for power supply, communication, optical path and signal acquisition interface to ensure stable clamping and normal signal path during the test.

[0021] S2. Configure comprehensive test scenario modules: Based on the combination of parameters to be tested, configure three sets of standardized test modules, namely Module A (basic static performance and sensitivity test), Module B (dynamic tracking and decoding performance test) and Module C (capture and anti-interference test under complex environment). In Module A, the target simulator remains stationary and aligned with the center of the guidance device's line of sight. The laser echo energy gradually increases from zero to detector saturation according to a logarithmic law. During the test, the background light intensity is adjusted synchronously to simulate different natural background radiation. The original output signal of the four-quadrant detector is acquired at high speed throughout the process to analyze static sensitivity, dynamic range, linearity, and background light suppression capability. In Module B, the target simulator moves according to a preset sinusoidal frequency sweep, spiral, or typical evasive maneuver trajectory. The laser echo energy changes dynamically according to the simulated distance-reflectivity attenuation curve. The laser pulse code switches at a fixed period and injects the same code deception interference at a specified time to evaluate the tracking bandwidth, tracking accuracy, dynamic hysteresis characteristics, and anti-deception interference capability. In Module C, the target enters the field of view from outside the field of view of the guidance device at the maximum permissible angular velocity. The background is switched to a low-contrast texture, and multiple asynchronous coded interference lasers are applied at the same time to evaluate the guidance device's ability to complete real target echo decoding, acquisition, and stable locking within a specified time.

[0022] S3. Automatic Execution of Tests and Synchronous Acquisition of Full Data: After completing the scenario module configuration, the test process is initiated. The distributed synchronous controller executes strict synchronous drive for all units of the system according to the test program configured in S2: controlling the guidance equipment turntable and target simulator to move along the preset trajectory; controlling the programmable laser irradiation simulation source to adjust the laser energy, pulse code and repetition frequency in real time according to the set curve; controlling the background light simulator and interference laser simulator to act in layers according to the preset time sequence. The system synchronously acquires and records the full-link data with a unified hardware time base and high sampling rate, including the guidance equipment frame angle feedback signal, the four original photoelectric signals of the four quadrant detectors, the decoded output signal, the miss distance command signal, and the real-time status parameters of all excitation sources, realizing the synchronous acquisition of excitation conditions and equipment response signals from the same source.

[0023] S4. Multi-parameter parallel analysis and extraction: After the test is completed, the multi-parameter parallel analysis engine automatically calls the corresponding algorithm module to perform parallel processing and index calculation on the synchronously collected full-link data, and obtains the noise equivalent power, comprehensive axis deviation, dynamic tracking accuracy and anti-interference performance factor. The specific calculation process is as follows: Based on the data collected by module A, plot the signal-to-noise ratio. By analyzing the response curves as a function of incident laser energy, the minimum incident laser energy required to achieve a specified signal-to-noise ratio threshold is determined, and the noise equivalent power is calculated accordingly. The specific solution process is as follows: The laser power incident on the photosensitive surface of the detector The x-axis represents the signal-to-noise ratio of the corresponding output signal. Plot the ordinate as the vertical axis. Response curve; On the response curve, select a signal-to-noise ratio that reaches a preset threshold. The incident laser power corresponding to the time is the minimum detectable power. ; The noise equivalent power is calculated using the following formula, based on the minimum detectable power and the specified signal-to-noise ratio threshold. :

[0024] By scanning the target spot across the entire field of view of the detector, and combining the frame angle feedback signal of the guidance equipment, the angular sensitivity curve is accurately plotted and the field of view boundary is determined, thus obtaining the acquisition field of view angle and the tracking field of view angle. Simultaneously, the deviations between the optical axis, mechanical axis, and electrical null position are calculated to determine the overall axis deviation. The specific solution process is as follows: Centered on the line of sight of the guidance equipment, the target spot is controlled to perform a full-domain angular scan in both pitch and yaw directions, and the amplitude of the detector output signal and the corresponding frame angular position are recorded simultaneously to construct the angular sensitivity response distribution. Using the angular position where the detector output signal amplitude drops to 50% of the peak response as the field of view boundary point, the elevation and yaw boundary angular coordinates are extracted to calculate the acquisition field of view angle. With tracking field of view ; The optical axis is defined by the angular position corresponding to the maximum output response of the detector. The mechanical axis is defined by the mechanical center calibrated at the zero position of the turntable. The electrical zero position is defined by the angular position corresponding to a zero miss distance. ; Calculate the deviations between the optical axis, mechanical axis, and electrical zero point respectively to obtain the optical axis deviation and mechanical axis deviation. The calculation formulas are as follows:

[0025] The combined axis deviation is obtained by weighting the optical axis deviation and the mechanical axis deviation. For the dynamic test data of module B, frequency domain analysis is performed with the target angular position as input and the guidance equipment frame angle as output. The amplitude and phase frequency characteristics are obtained using the sinusoidal frequency sweep method to determine the tracking bandwidth corresponding to -3dB. At the same time, the root mean square value of the tracking residual is calculated as the dynamic tracking accuracy. The specific calculation process is as follows: The target angle position sequence output by the target simulator As input, the frame angle sequence fed back in real time by the guidance equipment As output, construct the input-output dataset; Perform frequency domain transformation on the input and output signals, obtain the amplitude ratio and phase difference at different frequencies, and plot the amplitude-frequency response curve and phase-frequency response curve. On the amplitude-frequency response curve, find the frequency point where the amplitude decays to -3dB of the DC gain. This frequency is the tracking bandwidth. Calculate the tracking residual between the target angular position and the guidance equipment frame angle at each point in time; The root mean square of the tracking residuals from all valid sampling points is used to calculate the dynamic tracking accuracy. The specific calculation formula is as follows: ,in, The number of the valid sampling point. The total number of valid sampling point numbers. For the first Target angular position of effective sampling points For the first Frame corners of effective sampling points; Based on repeated test data from module C, the number of successful acquisitions is counted and the acquisition probability is calculated. The delay time from the target entering the target and achieving stable tracking is measured to obtain the acquisition time. By comparing the changes in the tracking accuracy or acquisition time of the guidance device under conditions of interference, the anti-interference performance factor is quantitatively calculated. The specific solution process is as follows: The total number of times the test scenario in module C is repeated is set to... The number of times the guidance device successfully decoded and stably locked onto the real target was counted. Calculate the capture probability using the following formula. :

[0026] The starting time is the moment when the target enters the field of view of the guidance equipment. The locking moment is defined as the moment when the output miss distance of the guidance equipment enters a stable range and continuously meets the threshold. The difference between the locking time and the starting time is the acquisition time. Under the same excitation conditions, two sets of performance indicators were obtained by conducting uninterrupted benchmark tests and interrupted adversarial tests: Reference parameters under no-interference conditions: (Can be dynamic tracking accuracy or capture time); Measured indicators under interference: ; Defining the interference immunity performance factor by the degree of performance degradation The calculation formula is as follows: Among them, the anti-interference performance factor The smaller the value, the less the interference affects the performance of the guidance equipment, and the stronger the equipment's anti-interference capability.

[0027] S5. Generate a comprehensive performance evaluation report: The system automatically compares the noise equivalent power, comprehensive axis deviation, dynamic tracking accuracy, and anti-interference performance factor with the corresponding preset qualification thresholds to comprehensively evaluate the guidance equipment's performance and automatically generate a comprehensive performance evaluation report with both text and graphics. Specifically: The system automatically loads the preset qualification threshold library and matches the four core indicators—noise equivalent power, comprehensive axis deviation, dynamic tracking accuracy, and anti-interference performance factor—with their corresponding qualification upper limits and grading standards to establish individual evaluation benchmarks. Complete the comparison and judgment between the measured value and the threshold item by item: Noise equivalent power: If the measured value is less than or equal to the threshold, the item is considered qualified; otherwise, it is unqualified. Overall axis deviation: If the measured value is less than or equal to the threshold, the item is considered qualified; otherwise, it is unqualified. Dynamic tracking accuracy: If the measured value is less than or equal to the threshold, the item is considered qualified; otherwise, it is considered unqualified. Anti-interference performance factor: If the measured value is less than or equal to the threshold, the item is considered qualified; otherwise, it is unqualified. Based on individual assessments, a comprehensive rating is conducted according to preset rules: All four indicators are qualified and all reach the excellent level range, so it is judged as Grade A (Excellent); All four indicators are qualified but not excellent, so it is judged as Grade B (qualified). The indicator failed to meet the standard, and it was judged as Grade C (unqualified / requiring rectification); At the same time, a standardized comprehensive performance evaluation report is automatically generated, including: test configuration information, measured values ​​of four core indicators, pass threshold, individual judgment results, overall system level, raw data curves, and key characteristic charts, forming a complete, archiveable, and traceable test acceptance document; Furthermore, the report supports comparison with historical test data, intuitively demonstrating the consistency and stability of equipment performance, and ultimately forming clear test conclusions and qualification judgment opinions, which can be directly used for product acceptance, factory delivery and quality traceability.

[0028] like Figure 2 As shown, a performance parameter testing system for a laser-guided device includes: a calibration unit, a comprehensive test scenario unit, a full data acquisition unit, a data analysis unit, and a result output unit; The calibration unit is used to perform high-precision integrated calibration of the entire system, ensuring spatial alignment, timing synchronization, and measurement benchmark consistency. Specific calibration contents include: spatial alignment calibration of the laser optical axis emitted by the dynamic target simulator and its mechanical motion axis; zero-position calibration and linkage calibration of each motion axis of the guidance equipment carrier turntable and the dynamic target simulator; incident spatial position calibration of the background light simulation source and the interference laser simulation source; and time base consistency of the entire system's acquisition equipment and control equipment. After calibration, the semi-active laser guidance device under test is securely mounted on the triaxial test turntable. Reliable connections are made for power supply, communication, optical path and signal acquisition interface to ensure stable clamping and normal signal path during the test.

[0029] The comprehensive test scenario unit is equipped with three sets of standardized test modules: Module A (basic static performance and sensitivity test), Module B (dynamic tracking and decoding performance test), and Module C (capture and anti-interference test under complex environment). In Module A, the target simulator remains stationary and aligned with the center of the guidance device's line of sight. The laser echo energy gradually increases from zero to detector saturation according to a logarithmic law. During the test, the background light intensity is adjusted synchronously to simulate different natural background radiation. The original output signal of the four-quadrant detector is acquired at high speed throughout the process to analyze static sensitivity, dynamic range, linearity, and background light suppression capability. In Module B, the target simulator moves according to a preset sinusoidal frequency sweep, spiral, or typical evasive maneuver trajectory. The laser echo energy changes dynamically according to the simulated distance-reflectivity attenuation curve. The laser pulse code switches at a fixed period and injects the same code deception interference at a specified time to evaluate the tracking bandwidth, tracking accuracy, dynamic hysteresis characteristics, and anti-deception interference capability. In Module C, the target enters the field of view from outside the field of view of the guidance device at the maximum permissible angular velocity. The background is switched to a low-contrast texture, and multiple asynchronous coded interference lasers are applied at the same time to evaluate the guidance device's ability to complete real target echo decoding, acquisition, and stable locking within a specified time.

[0030] The full data acquisition unit is used to collect and record full-link data, including the guidance equipment frame angle feedback signal, the four raw photoelectric signals of the four quadrant detectors, the decoded output signal, the miss distance command signal, and the real-time status parameters of all excitation sources, so as to realize the synchronous acquisition of excitation conditions and equipment response signals from the same source.

[0031] The data analysis unit is used to perform parallel processing and index calculation on the synchronously acquired end-link data to obtain noise equivalent power, comprehensive axis deviation, dynamic tracking accuracy, and anti-interference performance factor. The specific calculation process is as follows: Based on the data collected by module A, a response curve of signal-to-noise ratio as a function of incident laser energy is plotted to determine the minimum incident laser energy required to reach the specified signal-to-noise ratio threshold, and the noise equivalent power is calculated accordingly. By scanning the target spot across the entire field of view of the detector, and combining the frame angle feedback signal of the guidance equipment, the angle sensitivity curve is accurately plotted and the field of view boundary is determined to obtain the acquisition field of view angle and the tracking field of view angle. At the same time, the deviation between the optical axis, mechanical axis and electrical zero position is calculated to determine the comprehensive axis deviation. For the dynamic test data of module B, frequency domain analysis is performed with the target angular position as input and the guidance equipment frame angle as output. The amplitude frequency and phase frequency characteristics are obtained by using the sinusoidal frequency sweep method to determine the tracking bandwidth corresponding to -3dB. At the same time, the root mean square value of the tracking residual is calculated as the dynamic tracking accuracy. Based on repeated test data from module C, the number of successful acquisitions is counted and the acquisition probability is calculated. The delay time from when the target enters the target and meets the conditions to when stable tracking is achieved is measured to obtain the acquisition time. By comparing the changes in the tracking accuracy or acquisition time of the guidance device under conditions of interference, the anti-interference performance factor is quantitatively calculated.

[0032] The results output unit is used to automatically compare the noise equivalent power, comprehensive axis deviation, dynamic tracking accuracy, and anti-interference performance factor with the corresponding preset qualified thresholds to comprehensively evaluate the performance of the guidance equipment and automatically generate a comprehensive performance evaluation report with graphics and text.

[0033] The above embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions will not cause the essence of the corresponding technical solutions to deviate from the protection scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for testing the performance parameters of a laser-guided device, characterized in that, Includes the following steps: S1. Before the test begins, perform a high-precision integrated calibration of the entire system; S2. Based on the combination of parameters to be tested, configure three sets of standardized test modules, namely Module A, Module B and Module C; S3. Collect and record full-link data, including the guidance equipment frame angle feedback signal, the four raw photoelectric signals of the four quadrant detectors, the decoded output signal, the miss distance command signal, and the real-time status parameters of all excitation sources. S4. Perform parallel processing and index calculation on the collected end-link data to obtain noise equivalent power, comprehensive axis deviation, dynamic tracking accuracy and anti-interference performance factor; S5. Automatically compare the noise equivalent power, comprehensive axis deviation, dynamic tracking accuracy, and anti-interference performance factor with the corresponding preset qualified thresholds to comprehensively evaluate the performance of the guidance equipment and generate a comprehensive performance evaluation report.

2. The method for testing the performance parameters of a laser-guided device according to claim 1, characterized in that, Calibration includes: Spatial alignment calibration of the laser optical axis emitted by the dynamic target simulator and its mechanical motion axis; zero-position calibration and linkage calibration of each motion axis of the guidance equipment carrier turntable and the dynamic target simulator; incident spatial position calibration of the background light simulation source and the interference laser simulation source; The time base of all data acquisition and control equipment in the system is unified.

3. The method for testing the performance parameters of a laser-guided device according to claim 1, characterized in that, In Module A, the target simulator remains stationary and aligned with the center of the guidance device's line of sight. The laser echo energy gradually increases from zero to detector saturation according to a logarithmic law. During the test, the background light intensity is adjusted synchronously to simulate different natural background radiation. The original output signal of the four-quadrant detector is acquired at high speed throughout the entire process.

4. The method for testing the performance parameters of a laser-guided device according to claim 1, characterized in that, In module B, the target simulator moves according to a preset sinusoidal frequency sweep, spiral, or typical evasive maneuver trajectory. The laser echo energy changes dynamically according to the simulated distance-reflectivity attenuation curve. The laser pulse code switches at a fixed period and injects deception interference with the same code at a specified time.

5. The method for testing the performance parameters of a laser-guided device according to claim 1, characterized in that, In module C, the target is captured from outside the field of view by the guidance device and cuts into the field of view at the maximum permissible angular velocity. The background is switched to a low-contrast texture, and multi-channel asynchronous coded interference lasers are applied at the same time.

6. The method for testing the performance parameters of a laser-guided device according to claim 1, characterized in that, The noise equivalent power is calculated as follows: Based on the data collected by module A, the response curve of signal-to-noise ratio as a function of incident laser energy is plotted, the minimum incident laser energy required to reach the specified signal-to-noise ratio threshold is determined, and the noise equivalent power is calculated accordingly.

7. The method for testing the performance parameters of a laser-guided device according to claim 1, characterized in that, The comprehensive axis deviation is calculated as follows: by scanning the target spot across the entire field of view of the detector, combined with the frame angle feedback signal of the guidance equipment, the angular sensitivity curve is accurately plotted and the field of view boundary is determined to obtain the acquisition field of view angle and the tracking field of view angle. At the same time, the deviation between the optical axis, the mechanical axis and the electrical zero position is calculated to determine the comprehensive axis deviation.

8. The method for testing the performance parameters of a laser-guided device according to claim 1, characterized in that, The solution for dynamic tracking accuracy is as follows: For the dynamic test data of module B, frequency domain analysis is performed with the target angular position as input and the guidance equipment frame angle as output. The amplitude frequency and phase frequency characteristics are obtained by using the sinusoidal frequency sweep method to determine the tracking bandwidth corresponding to -3dB. At the same time, the root mean square value of the tracking residual is calculated as the dynamic tracking accuracy.

9. The method for testing the performance parameters of a laser-guided device according to claim 1, characterized in that, The solution to the anti-interference performance factor is as follows: Based on the repeated test data of module C, the number of successful acquisitions is counted and the acquisition probability is calculated. The delay time from the target entering the target and meeting the conditions to achieving stable tracking is measured to obtain the acquisition time. By comparing the changes in the tracking accuracy or acquisition time of the guidance device under conditions with and without interference, the anti-interference performance factor is quantitatively calculated.

10. A performance parameter testing system for a laser-guided device, applied to the performance parameter testing method for a laser-guided device as described in claim 1, characterized in that, include: The calibration unit is used for high-precision integrated calibration of the entire system; The comprehensive test scenario unit is used to configure three standardized test modules, namely Module A, Module B and Module C, according to the combination of parameters to be tested. The full data acquisition unit is used to collect and record full-link data, including the guidance equipment frame angle feedback signal, the four raw photoelectric signals of the four quadrant detectors, the decoded output signal, the miss distance command signal, and the real-time status parameters of all excitation sources. The data analysis unit is used to perform parallel processing and index calculation on the collected end-to-end data to obtain noise equivalent power, comprehensive axis deviation, dynamic tracking accuracy and anti-interference performance factor. The result output unit is used to automatically compare the noise equivalent power, comprehensive axis deviation, dynamic tracking accuracy, and anti-interference performance factor with the corresponding preset qualified thresholds to comprehensively evaluate the performance of the guidance equipment and generate a comprehensive performance evaluation report.

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