A space situation awareness camera ground performance verification system and method

Abstract

A space situation awareness camera ground performance verification system and method, through setting the space situation awareness camera ground performance verification system of space situation awareness camera, star sensor, flat tooling, unmanned aerial vehicle and comprehensive information processing center, through the flat tooling simulation satellite platform, the direct current voltage stabilizing power supply gives the power supply to the space situation awareness camera and the star sensor, the star sensor generates the attitude quaternion in real time, the unmanned aerial vehicle simulates the space target, the space situation awareness camera outputs target information, the comprehensive information processing center communicates with the space situation awareness camera and the star sensor and analyzes the data, according to the verification method flow, respectively executes the steps such as transfer star space background projection design, star planet elimination, space target detection and unmanned aerial vehicle point plane target test, can evaluate the performance index of the space situation awareness camera on the ground.

Description

Technical Field

[0001] This invention relates to a ground performance verification system and method for a space situational awareness camera, belonging to the field of space situational awareness camera design and testing technology. Background Technology

[0002] The rapid development of space technology has led to a dramatic increase in the number of space targets, including satellites, space stations, and space debris. These targets pose significant risks to the safe operation of spacecraft in orbit. The function of a space situational awareness camera is to preprocess images within its field of view and identify targets; it outputs images and measurement data for space target measurement, identification, and early warning.

[0003] The performance of a space situational awareness camera mainly includes three aspects: detection probability, detection accuracy, and stray light resistance. Detection probability is the probability that a space situational awareness camera can stably extract a target while continuously detecting it; detection accuracy refers to the deviation between the measured value and the theoretical value of the target over a period of time; and stray light resistance refers to the impact of stray light entering the camera's field of view on target extraction.

[0004] Currently, the main problems in the ground performance verification of space situational awareness cameras are: (1) It is difficult to simulate the installation state of a space situational awareness camera when it is working in orbit on the ground, and it is difficult to simulate the background and target in space at the same time. (2) It is difficult to simulate the approach process of space targets and the switching between point and surface targets on the ground; (3) How to generate dynamic data in real time and use it for the elimination of natural objects (stars, planets) in space. (4) How to analyze and calculate the impact of stray light incidence on the target extraction capability of space situational awareness cameras. Summary of the Invention

[0005] The technical problem solved by this invention is: addressing the lack of ground-based methods for evaluating the performance of space situational awareness cameras in the existing technology, and proposing a ground-based performance verification system and method for space situational awareness cameras.

[0006] The present invention solves the above-mentioned technical problem through the following technical solution: A ground performance verification system for a space situational awareness camera includes a space situational awareness camera, a star sensor, a flat panel fixture, a UAV, and an integrated information processing center, wherein: Flat panel fixture, used to simulate the satellite platform installation environment, equipped with a space situational awareness camera and star sensor; The drone, with pre-set space target information, receives control commands from the integrated information processing center to simulate the space target; The integrated information processing center sends corresponding detection commands to the space situational awareness camera and star sensor, receives the natural celestial body attitude quaternions in their respective coordinate systems returned by the space situational awareness camera and star sensor, calculates dynamic data based on the natural celestial body attitude quaternions, and sends it to the space situational awareness camera; performs natural celestial body position inversion based on the dynamic data, receives the imaging position coordinate information returned by the space situational awareness camera, compares the inversion results with the received imaging position coordinate information returned by the space situational awareness camera, removes stars and planets, generates control commands and sends them to the UAV, controls the UAV to perform UAV point and area target detection experiments and stray light resistance experiments according to the preset procedures, and evaluates the performance of the space situational awareness camera based on the test results; The space situational awareness camera, fixed on a flat panel fixture, receives detection commands from the integrated information processing center, detects natural celestial bodies, obtains attitude quaternions in the camera's measurement coordinate system through star map matching, and sends them to the integrated information processing center; it also receives dynamic data returned by the integrated information processing center to detect natural celestial bodies and UAV targets, obtains the imaging position coordinate information of natural celestial bodies and UAV targets, and sends it back to the integrated information processing center. The star sensor, fixed on a flat fixture, receives detection commands sent by the integrated information processing center, detects natural celestial bodies, obtains attitude quaternions in the star sensor's measurement coordinate system, and sends them to the integrated information processing center.

[0007] The star sensor and the flat panel fixture are powered by a DC regulated power supply. Before the integrated information processing center verifies the performance of the space situational awareness camera, it simultaneously generates a second pulse signal and sends it to the space situational awareness camera and the star sensor for time alignment.

[0008] The surface of the UAV is coated with light-absorbing material, and a point light source is set at the bottom of the UAV. The brightness of the light source is determined by the detection sensitivity of the spatial situational awareness camera. During the UAV point and area target detection test, the UAV is controlled to hover at the height above the spatial situational awareness camera while collecting point light source images. The detection accuracy and probability of point and area targets are judged based on the size of the point light source image spot.

[0009] After detecting and identifying natural celestial light sources and UAV targets, the space situational awareness camera outputs image data to the integrated information processing center via the LVDS communication interface. The space situational awareness camera receives dynamic data generated by the integrated information processing center via the RS422 communication interface, removes stars and planets, and outputs target position coordinate information to the integrated information processing center.

[0010] A verification method based on a ground performance verification system for a space situational awareness camera includes: The space situational awareness camera and star sensor are fixedly mounted on a flat panel fixture to simulate the installation position and method on the satellite platform. The space situational awareness camera is calibrated to obtain the transfer installation matrix from the space situational awareness camera to the star sensor. The attitude quaternion of the space situational awareness camera is calculated using the attitude quaternion of natural celestial bodies output in real time by the transfer installation matrix and star sensor, and then sent to the integrated information processing center. The integrated information processing center calculates dynamic data based on the attitude quaternion of natural celestial bodies, performs position inversion of natural celestial bodies based on the dynamic data, compares the inversion results with the imaging position coordinate information returned by the space situational awareness camera, and removes stars and planets based on the comparison results. The UAV point and area target detection test and stray light resistance test were conducted according to the corrected natural celestial body positions. The test results were used to characterize the performance verification results of the space situational awareness camera.

[0011] The method for obtaining the transfer and installation matrix from the space situational awareness camera to the star sensor is as follows: Two ETR second pulse signals are generated using the integrated information processing center and sent to the space situational awareness camera and star sensor respectively for time alignment. Using a space situational awareness camera, stars are detected among natural celestial bodies. The attitude quaternion Q of the stars in the camera's measurement coordinate system is obtained through star map matching. A And the information is sent to the integrated information processing center at the same time; Star sensors are used to detect stars, and the attitude quaternion Q in the star sensor measurement coordinate system is obtained. B And the information is sent to the integrated information processing center at the same time; The attitude transfer matrix ΔQ from the space situational awareness camera to the star sensor is calculated at the integrated information processing center. Where, △Q=Q A / Q B .

[0012] The method for calculating the attitude quaternion of a spatial situational awareness camera is as follows: Based on the attitude transfer matrix ΔQ and the natural celestial attitude quaternion Q of the star sensor B Calculate the attitude quaternion Q of the spatial situational awareness camera in the same coordinate system. A '=△Q Q B ; The method for calculating dynamic data is as follows: Based on the attitude quaternion Q of the spatial situational awareness camera A Given the track information R and time information T of the flat tooling, calculate the dynamic data D={T, Q}. A �, R}.

[0013] The method for retrieving the position of celestial bodies is as follows: Based on the detection results of celestial bodies and UAVs by the space situational awareness camera, the imaging position coordinate information S is obtained, including the star position information S. h Planetary position information S x and target location information S t ; Stellar and planetary positions are inverted using dynamical data D, and a matching tolerance r is set to include stars S within the tolerance range. h and planet S x The remaining location information is used as the target location information S after the inversion result is removed. t .

[0014] The method for unmanned aerial vehicle (UAV) point and area target detection experiments is as follows: When the UAV hovers at an altitude H above the space situational awareness camera, the space situational awareness camera images the point light source on the UAV. When the UAV's image spot is detected to be greater than 3 pixels × 3 pixels, the UAV hovers and the detection probability and detection accuracy of the space situational awareness camera for the point target are calculated. Control the drone's descent altitude. When the drone's imaging spot on the detector is larger than 16 pixels × 16 pixels, the drone hovers and calculates the detection probability and accuracy of the target opposite the spatial situational awareness camera.

[0015] The method for stray light resistance testing is as follows: When the moon and the drone simultaneously enter the field of view of the space situational awareness camera, the detection probability and detection accuracy of the space situational awareness camera for point targets are calculated and compared with the detection probability and detection accuracy of point targets obtained from the drone's point and area target detection experiment. The probability of false target extraction in stray light areas is then statistically analyzed.

[0016] The advantages of this invention compared to the prior art are: (1) The present invention provides a ground-based high-fidelity performance verification system and method for a space situational awareness camera. By building a ground-based performance verification system for a space situational awareness camera, natural celestial bodies are used to simulate the space background, and unmanned and simulated space targets are used. This is closer to the on-orbit working conditions and easier to implement. At the same time, a satellite platform is simulated by using a flat panel fixture and a star sensor. Combined with orbital information, dynamic data is output, which can be directly used for star and planet removal by the space situational awareness camera to reduce the interference of the background on target detection. (2) This invention controls the flight altitude of the UAV to simulate the switching between point and surface targets. According to the preset point and surface target extraction algorithm, it realizes the detection of space targets and the test of UAV point and surface targets. By dynamically tracking the switching process of point and surface target identification, it can realize the detection probability and detection accuracy of the space situational awareness camera for point and surface targets. At the same time, it can statistically analyze and calculate the impact of stray light incident on the target extraction capability of the space situational awareness camera. It realizes the purpose of simulating the installation state of the space situational awareness camera when it is working on the ground and simulating the background and target in space at the same time. Attached Figure Description

[0017] Figure 1 A schematic diagram of the composition of the ground performance verification system for the space situational awareness camera provided by the present invention; Figure 2 Information flow diagram of the ground performance verification system for space situational awareness camera provided by the present invention; Figure 3 A flowchart of the ground performance verification method for a space situational awareness camera provided by the present invention. Detailed Implementation

[0018] A ground performance verification system and method for a space situational awareness camera is disclosed. The system comprises a space situational awareness camera, a star sensor, a flat panel fixture, a drone, and an integrated information processing center. The flat panel fixture simulates a satellite platform, a DC regulated power supply powers the space situational awareness camera and star sensor, the star sensor generates attitude quaternions in real time, the drone simulates space targets, the space situational awareness camera outputs target information, and the integrated information processor communicates with the space situational awareness camera and star sensor and analyzes the data. Following the verification procedure, steps such as transferring star background projection design, star and planet removal, space target detection, and drone point and area target testing are performed. This allows for the evaluation of the space situational awareness camera's performance indicators on the ground.

[0019] The specific design of the ground-based high-fidelity performance verification system for space situational awareness cameras is as follows: Flat panel fixture, used to simulate the satellite platform installation environment, equipped with a space situational awareness camera and star sensor; The drone, with pre-set space target information, receives control commands from the integrated information processing center to simulate the space target; The integrated information processing center sends corresponding detection commands to the space situational awareness camera and star sensor, receives the attitude quaternions of natural celestial bodies in their respective coordinate systems returned by the space situational awareness camera and star sensor, calculates dynamic data based on the attitude quaternions of natural celestial bodies, and sends it to the space situational awareness camera; performs natural celestial body position inversion based on the dynamic data, compares the inversion results with the imaging position coordinate information returned by the space situational awareness camera, removes stars and planets, and sends control commands for the generation of natural celestial bodies after removal to the UAV, controls the UAV to perform UAV point and area target detection tests and stray light resistance tests according to the procedures, and judges the performance of the space situational awareness camera based on the test results; The space situational awareness camera, fixed on a flat panel fixture, receives detection commands from the integrated information processing center, detects natural celestial bodies, obtains attitude quaternions in the camera's measurement coordinate system through star map matching, and sends them to the integrated information processor; it also receives dynamic data returned from the integrated information processing center to detect natural celestial bodies and UAV targets, obtains the imaging position coordinate information of natural celestial bodies and UAV targets, and sends it back to the integrated information processing center. The star sensor, fixed on a flat panel fixture, receives detection commands sent by the integrated information processing center, detects natural celestial bodies, obtains attitude quaternions in the star sensor's measurement coordinate system, and sends them to the integrated information processor.

[0020] The star sensor and flat panel fixture are powered by a DC regulated power supply. Before the integrated information processor verifies the performance of the space situational awareness camera, it simultaneously generates a second pulse signal and sends it to the space situational awareness camera and star sensor for time alignment.

[0021] The drone's surface is coated with light-absorbing material, and a point light source is set at the bottom of the drone. The brightness of the light source is determined by the detection sensitivity of the spatial situational awareness camera. During the drone's point and area target detection test, the drone is controlled to hover at the spatial situational awareness camera while simultaneously collecting images of the point light source. The detection accuracy and probability of point and area targets are judged based on the size of the light spot of the point light source image.

[0022] After detecting and identifying natural celestial light sources and UAV targets, the space situational awareness camera outputs image data to the integrated information processing center via the LVDS communication interface. The space situational awareness camera receives dynamic data generated by the integrated information processing center via the RS422 communication interface, removes stars and planets, and outputs target position coordinate information to the integrated information processing center.

[0023] The verification method for the implementation of a high-fidelity ground-based verification system for space situational awareness cameras includes the following steps: The space situational awareness camera and star sensor are fixedly mounted on a flat panel fixture to simulate the installation position and method on the satellite platform. The space situational awareness camera is calibrated to obtain the transfer installation matrix from the space situational awareness camera to the star sensor. The attitude quaternion of the space situational awareness camera is calculated using the attitude quaternion of natural celestial bodies output in real time by the transfer installation matrix and star sensor, and then sent to the integrated information processing center. The integrated information processing center calculates dynamic data based on the attitude quaternion of natural celestial bodies, performs position inversion of natural celestial bodies based on the dynamic data, compares the inversion results with the imaging position coordinate information returned by the space situational awareness camera, and removes stars and planets based on the comparison results. The UAV point and area target detection test and stray light resistance test were conducted according to the corrected natural celestial body positions. The test results were used to characterize the performance verification results of the space situational awareness camera.

[0024] The method for obtaining the transfer and installation matrix from the space situational awareness camera to the star sensor is as follows: Two ETR second pulse signals are generated using the integrated information processing center and sent to the space situational awareness camera and star sensor respectively for time alignment. Using a space situational awareness camera, stars are detected among natural celestial bodies. The attitude quaternion Q of the stars in the camera's measurement coordinate system is obtained through star map matching. A And the information is sent to the integrated information processing center at the same time; Star sensors are used to detect stars, and the attitude quaternion Q in the star sensor measurement coordinate system is obtained. B And the information is sent to the integrated information processing center at the same time; The attitude transfer matrix ΔQ from the space situational awareness camera to the star sensor is calculated at the integrated information processing center. Where, △Q=Q A / Q B .

[0025] The method for calculating the attitude quaternion of a spatial situational awareness camera is as follows: Based on the attitude transfer matrix ΔQ and the natural celestial attitude quaternion Q of the star sensor B Calculate the attitude quaternion Q of the spatial situational awareness camera in the same coordinate system. A '=△Q Q B ; The method for calculating dynamic data is as follows: Based on the attitude quaternion Q of the spatial situational awareness camera A Given the track information R and time information T of the flat tooling, calculate the dynamic data D={T, Q}. A �, R}.

[0026] The method for retrieving the position of celestial bodies is as follows: Based on the detection results of celestial bodies and UAVs by the space situational awareness camera, the imaging position coordinate information S is obtained, including the star position information S. h Planetary position information S x and target location information S t ; Stellar and planetary positions are inverted using dynamical data D, and a matching tolerance r is set to include stars S within the tolerance range. h and planet S x The remaining location information is used as the target location information S after the inversion result is removed. t .

[0027] The method for unmanned aerial vehicle (UAV) point and area target detection experiments is as follows: When the UAV hovers at an altitude H above the space situational awareness camera, the space situational awareness camera images the point light source on the UAV. When the UAV's image spot is detected to be greater than 3 pixels × 3 pixels, the UAV hovers and the detection probability and detection accuracy of the space situational awareness camera for the point target are calculated. Control the drone's descent altitude. When the drone's imaging spot on the detector is larger than 16 pixels × 16 pixels, the drone hovers and calculates the detection probability and accuracy of the target opposite the spatial situational awareness camera.

[0028] The method for stray light resistance testing is as follows: When the moon and the drone simultaneously enter the field of view of the space situational awareness camera, the detection probability and detection accuracy of the space situational awareness camera for point targets are calculated and compared with the detection probability and detection accuracy of point targets obtained from the drone's point and area target detection experiment. The probability of false target extraction in stray light areas is then statistically analyzed.

[0029] The following description, in conjunction with the accompanying drawings and preferred embodiments, provides further details: In the current embodiment, such as Figure 1 As shown, the ground performance verification system for the space situational awareness camera includes a space situational awareness camera (1), a star sensor (2), a DC regulated power supply (3), a flat panel fixture (4), an integrated information processing center (5), natural celestial light sources (stars, planets, moon) (6), and a drone (7). The flat panel fixture simulates a satellite platform, with the space situational awareness camera and star sensor fixedly mounted on it, simulating the installation method on a satellite platform. The DC regulated power supply simultaneously powers both the space situational awareness camera and the star sensor. The natural celestial light sources and the drone simulate complex space backgrounds and targets.

[0030] like Figure 2As shown, the information flow of the ground performance verification system for the space situational awareness camera includes: the integrated information processor simultaneously sends ETR time synchronization signals to both the space situational awareness camera and the star sensor to align their times. The space situational awareness camera detects and identifies natural celestial light sources and UAV targets, outputting image and gate image data to the integrated information processor via the LVDS communication interface. Simultaneously, the space situational awareness camera receives dynamic data generated by the integrated information processing center via the RS422 communication interface, performs star and planet removal, and outputs target measurement information and other data to the integrated information processor. The dynamic data is generated by the integrated information processor by combining star sensor quaternions with orbital information.

[0031] A ground performance verification method for a space situational awareness camera is presented, mainly including tests on space target detection probability and accuracy; performance tests on space point and area target detection; and tests on stray light resistance. Figure 3 The specific steps are shown in the diagram. The method consists of five parts: on-orbit calibration of the space situational awareness camera (S1); star and planet removal (S2); calculation of space target detection probability and accuracy (S3); point and area target detection experiment (S4); and anti-stray light experiment verification (S5). Based on the actual testing process, it is described below: 1. On-orbit calibration of space situational awareness cameras a) Select a clear day when the moon is close to full moon to conduct field tests. The space situational awareness camera and star sensor are fixedly installed on a flat panel fixture, so that the space situational awareness camera and star sensor are perpendicular to the sky. b) Based on the operating voltage and current of the space situational awareness camera and star sensor, set the voltage and current limit of the DC regulated power supply, and simultaneously supply power to the space situational awareness camera and star sensor. c) The two ETR signals from the integrated information processor are sent to the space situational awareness camera and the star sensor respectively through the RS422 interface to align their time. d) Power on the space situational awareness camera and switch to star map recognition mode; detect natural celestial bodies and stars, and obtain the quaternion Q in the space situational awareness camera's measurement coordinate system through star map matching. A It is then sent to the integrated information processor in conjunction with the time information; e) The star sensor is powered on to detect natural celestial stars. After star map matching, the quaternion Q in the star sensor's measurement coordinate system is obtained. B It is then sent to the integrated information processor in conjunction with the time information; f) Calculate the attitude transfer matrix ΔQ = QA / QB from the space situational awareness camera to the star sensor.

[0032] 2. Star and planet removal a) The integrated information processor calculates the attitude quaternion QA' = ΔQ of the space situational awareness camera by combining the attitude transition matrix ΔQ with the quaternion QB of the input star sensor. QB; b) The integrated information processor generates orbital information R of the flat-panel tooling, which can be used to predict the planet's trajectory. Combining the attitude quaternion computer QA' and time information T, dynamic data D={T, QA', R} is generated and sent to the space situational awareness camera; c) The surface of the drone is coated with light-absorbing material, and a point light source is set at the bottom of the drone to control the drone to hover at a height H above the camera; d) The space situational awareness camera switches to target detection mode to detect natural celestial bodies and UAVs, and outputs the set of position coordinates S of their image on the detector, including the set of star coordinates Sh, the set of planetary coordinates Sh and the set of targets St, S={Sh, Sx, St}. e) The space situational awareness camera receives dynamic data D={T, QA', R} generated by the integrated information processor via the RS422 interface, sets the matching tolerance r, and calculates the star position Sh from the QA' information. Remove stars Sh within the matching tolerance r range; obtain the planetary position Sx at time T from R. Planet Sx within the matching tolerance range r is removed; f) The spatial situational awareness camera outputs time information T and remaining target information St to the integrated information processing computer via the RS422 interface for calculating the target St detection probability and detection accuracy.

[0033] 3. Calculate the target detection probability and detection accuracy. a) The integrated information processor continuously receives the coordinate information of St for a duration of t. Let the data update rate be f and the number of frames that can be acquired be n. Then the target detection probability is P. P=n / (t×f) b) Calculate 3σ (3 times the standard deviation) from the output St coordinate information as the radius R of the confidence interval;

[0034] 4. Unmanned Aerial Vehicle (UAV) Point and Area Target Detection Test a) The UAV hovers at an altitude H above the space situational awareness camera. The space situational awareness camera images the point light source on the UAV, and controls the UAV to descend. When the UAV's image spot on the detector is greater than 3 pixels × 3 pixels, the UAV hovers and repeats steps S1 to S3 to calculate the detection probability P and detection accuracy R of the space situational awareness camera for the point target. b) Continue to control the descent altitude of the UAV. When the UAV imaging spot on the detector is greater than 16 pixels × 16 pixels, the UAV hovers. Repeat steps S1 to S3. While the UAV hovers, calculate the detection probability P and detection accuracy R of the target opposite the space situational awareness camera.

[0035] 5. Stray light resistance test verification a) When the moon and the UAV simultaneously enter the field of view of the space situational awareness camera, repeat steps S1~S3 to calculate the detection probability P and detection accuracy R of the space situational awareness camera for point targets. b) Let Sz represent the target coordinate information output by the stray light region, and m be the number of frames that can extract the target. Calculate the target false extraction rate Pz in the stray light region. Pz=m / (t×f) This embodiment can solve the problems of lacking ground-based methods to simulate the installation state of space situational awareness cameras when they are in orbit and the difficulty in simultaneously simulating the background and targets in space. It can simulate the movement trajectory of space targets in real time, generate dynamic data in real time, and use it to identify and analyze the impact of stray light incident on the target extraction capability of space situational awareness cameras.

[0036] Although the present invention has been disclosed above with reference to preferred embodiments, it is not intended to limit the present invention. Any person skilled in the art can make possible changes and modifications to the technical solutions of the present invention by utilizing the methods and techniques disclosed above without departing from the spirit and scope of the present invention. Therefore, any simple modifications, equivalent changes and alterations made to the above embodiments based on the technical essence of the present invention without departing from the content of the technical solutions of the present invention shall fall within the protection scope of the technical solutions of the present invention.

[0037] The contents not described in detail in this specification are common knowledge to those skilled in the art.

Claims

1. A ground performance verification system for a space situational awareness camera, characterized in that: This includes space situational awareness cameras, star sensors, flat panel fixtures, unmanned aerial vehicles (UAVs), and a comprehensive information processing center, among which: Flat panel fixture, used to simulate the satellite platform installation environment, equipped with a space situational awareness camera and star sensor; The drone, with pre-set space target information, receives control commands from the integrated information processing center to simulate the space target; The integrated information processing center sends corresponding detection commands to the space situational awareness camera and star sensor, receives the natural celestial body attitude quaternions in their respective coordinate systems returned by the space situational awareness camera and star sensor, calculates dynamic data based on the natural celestial body attitude quaternions, and sends it to the space situational awareness camera; performs natural celestial body position inversion based on the dynamic data, receives the imaging position coordinate information returned by the space situational awareness camera, compares the inversion results with the received imaging position coordinate information returned by the space situational awareness camera, removes stars and planets, generates control commands and sends them to the UAV, controls the UAV to perform UAV point and area target detection experiments and stray light resistance experiments according to the preset procedures, and evaluates the performance of the space situational awareness camera based on the test results; The space situational awareness camera, fixed on a flat panel fixture, receives detection commands from the integrated information processing center, detects natural celestial bodies, obtains attitude quaternions in the camera's measurement coordinate system through star map matching, and sends them to the integrated information processing center; it also receives dynamic data returned by the integrated information processing center to detect natural celestial bodies and UAV targets, obtains the imaging position coordinate information of natural celestial bodies and UAV targets, and sends it back to the integrated information processing center. The star sensor, fixed on a flat fixture, receives detection commands sent by the integrated information processing center, detects natural celestial bodies, obtains attitude quaternions in the star sensor's measurement coordinate system, and sends them to the integrated information processing center.

2. The ground performance verification system for a space situational awareness camera according to claim 1, characterized in that: The star sensor and the flat panel fixture are powered by a DC regulated power supply. Before the integrated information processing center verifies the performance of the space situational awareness camera, it simultaneously generates a second pulse signal and sends it to the space situational awareness camera and the star sensor for time alignment.

3. The ground performance verification system for a space situational awareness camera according to claim 1, characterized in that: The surface of the UAV is coated with light-absorbing material, and a point light source is set at the bottom of the UAV. The brightness of the light source is determined by the detection sensitivity of the spatial situational awareness camera. During the UAV point and area target detection test, the UAV is controlled to hover at the height above the spatial situational awareness camera while collecting point light source images. The detection accuracy and probability of point and area targets are judged based on the size of the point light source image spot.

4. The ground performance verification system for a space situational awareness camera according to claim 3, characterized in that: After detecting and identifying natural celestial light sources and UAV targets, the space situational awareness camera outputs image data to the integrated information processing center via the LVDS communication interface. The space situational awareness camera receives dynamic data generated by the integrated information processing center via the RS422 communication interface, removes stars and planets, and outputs target position coordinate information to the integrated information processing center.

5. A verification method for the implementation of the ground performance verification system for a space situational awareness camera according to claim 4, characterized in that... include: The space situational awareness camera and star sensor are fixedly mounted on a flat panel fixture to simulate the installation position and method on the satellite platform. The space situational awareness camera is calibrated to obtain the transfer installation matrix from the space situational awareness camera to the star sensor. The attitude quaternion of the space situational awareness camera is calculated using the attitude quaternion of natural celestial bodies output in real time by the transfer installation matrix and star sensor, and then sent to the integrated information processing center. The integrated information processing center calculates dynamic data based on the attitude quaternion of natural celestial bodies, performs position inversion of natural celestial bodies based on the dynamic data, compares the inversion results with the imaging position coordinate information returned by the space situational awareness camera, and removes stars and planets based on the comparison results. The UAV point and area target detection test and stray light resistance test were conducted according to the corrected natural celestial body positions. The test results were used to characterize the performance verification results of the space situational awareness camera.

6. The verification method according to claim 5, characterized in that: The method for obtaining the transfer and installation matrix from the space situational awareness camera to the star sensor is as follows: Two ETR second pulse signals are generated using the integrated information processing center and sent to the space situational awareness camera and star sensor respectively for time alignment. Using a space situational awareness camera, stars are detected among natural celestial bodies. The attitude quaternion Q of the stars in the camera's measurement coordinate system is obtained through star map matching. A And the information is sent to the integrated information processing center at the same time; Star sensors are used to detect stars, and the attitude quaternion Q in the star sensor measurement coordinate system is obtained. B And the information is sent to the integrated information processing center at the same time; The attitude transfer matrix ΔQ from the space situational awareness camera to the star sensor is calculated at the integrated information processing center. Where, △Q=Q A / Q B .

7. The verification method according to claim 6, characterized in that: The method for calculating the attitude quaternion of a spatial situational awareness camera is as follows: Based on the attitude transfer matrix ΔQ and the natural celestial attitude quaternion Q of the star sensor B Calculate the attitude quaternion Q of the spatial situational awareness camera in the same coordinate system. A '=△Q Q B ; The method for calculating dynamic data is as follows: Based on the attitude quaternion Q of the spatial situational awareness camera A Given the track information R and time information T of the flat tooling, calculate the dynamic data D={T, Q}. A �, R}.

8. The verification method according to claim 6, characterized in that: The method for retrieving the position of celestial bodies is as follows: Based on the detection results of celestial bodies and UAVs by the space situational awareness camera, the imaging position coordinate information S is obtained, including the star position information S. h Planetary position information S x and target location information S t ; Stellar and planetary positions are inverted using dynamical data D, and a matching tolerance r is set to include stars S within the tolerance range. h and planet S x The remaining location information is used as the target location information S after the inversion result is removed. t .

9. The verification method according to claim 6, characterized in that: The method for unmanned aerial vehicle (UAV) point and area target detection experiments is as follows: When the UAV hovers at an altitude H above the space situational awareness camera, the space situational awareness camera images the point light source on the UAV. When the UAV's image spot is detected to be greater than 3 pixels × 3 pixels, the UAV hovers and the detection probability and detection accuracy of the space situational awareness camera for the point target are calculated. Control the drone's descent altitude. When the drone's imaging spot on the detector is larger than 16 pixels × 16 pixels, the drone hovers and calculates the detection probability and accuracy of the target opposite the spatial situational awareness camera.

10. The verification method according to claim 6, characterized in that: The method for stray light resistance testing is as follows: When the moon and the drone simultaneously enter the field of view of the space situational awareness camera, the detection probability and detection accuracy of the space situational awareness camera for point targets are calculated and compared with the detection probability and detection accuracy of point targets obtained from the drone's point and area target detection experiment. The probability of false target extraction in stray light areas is then statistically analyzed.

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