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| Research on Target Spatial Collaborative Positioning Methods for Distributed Active/Passive Imaging Detection System |
| GU Yifan 1， ZHAO Wenlong 1， TANG Shanjun 1， YANG Qingyu 1， ZHENG Xin 2 |
| 1. Shanghai Electro-Mechanical Engineering Institute， Shanghai 201109， China；
2. Shanghai Academy of Spaceflight Technology， Shanghai 201109， China
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Abstract When using the distributed active/passive imaging detection system to detect the same key target, it is necessary to fuse the multi-source information of the target, integrate the different positioning accuracy of active/passive imaging detector, and calculate the precise spatial position of the key target. Aiming at the problems of different imaging systems, different positioning solution models and different positioning accuracy of distributed active/passive imaging detection system, a unified target space collaborative positioning mathematical model is proposed in this paper, and the linear weighted genetic algorithm is used to solve this mathematical model to obtain the target spatial collaborative positioning results. The simulation results show that the mathematical model of target spatial collaborative positioning constructed in this paper and the target spatial positioning method based on linear weighted genetic algorithm provide a unified model and solution for the target spatial collaborative positioning problem of distributed active/passive imaging detection system. Meanwhile, it also solves the problem of target information fusion when detectors of different imaging systems have different positioning errors. During the detection mission of key target by distributed UAV cluster, distributed cruise missile cluster and distributed fighter cluster, the model and algorithm proposed in this paper can effectively improve the accurate detection, guidance, attack and interception ability of the detection system.
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Received: 27 September 2021
Published: 24 December 2021
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2021, Vol. 4 
