Research on passive positioning technology based on least-squared method in unmanned photoelectric reconnaissance vehicles network

QingLin Zhao; Yu Liu; XinSheng Guo; HongTao Li; Song Li; Lei Li; BenGuo Wang; SiZhong Li

doi:10.1117/12.2651431

23 January 2023 Research on passive positioning technology based on least-squared method in unmanned photoelectric reconnaissance vehicles network

QingLin Zhao, Yu Liu, XinSheng Guo, HongTao Li, Song Li, Lei Li, BenGuo Wang, SiZhong Li

Author Affiliations +

Proceedings Volume 12557, AOPC 2022: Optical Sensing, Imaging, and Display Technology; 1255715 (2023) https://doi.org/10.1117/12.2651431
Event: Applied Optics and Photonics China 2022 (AOPC2022), 2022, Beijing, China

Abstract

In the unmanned photoelectric reconnaissance vehicle network, each node cooperates to locate the target, which is beneficial to expand the reconnaissance range and obtain the target position information covertly. The unmanned photoelectric reconnaissance vehicle of each node can provide the angle information relative to the target when it reconnoitres the target. How to use the angle information of the target detected by each node to obtain the estimation of the target position information is worth studying. This paper studies the passive positioning technology in the unmanned photoelectric reconnaissance vehicle network, establishes the model of the unmanned photoelectric reconnaissance vehicle network for cooperative target positioning, and uses the least-squares method to design the target positioning algorithm. The error between the target position value and the true value is within 10m, which proves that the algorithm can effectively obtain the target position information, and provides an effective method for the hidden acquisition of target position information in the unmanned photoelectric reconnaissance vehicle network.

Citation Download Citation

QingLin Zhao, Yu Liu, XinSheng Guo, HongTao Li, Song Li, Lei Li, BenGuo Wang, and SiZhong Li "Research on passive positioning technology based on least-squared method in unmanned photoelectric reconnaissance vehicles network", Proc. SPIE 12557, AOPC 2022: Optical Sensing, Imaging, and Display Technology, 1255715 (23 January 2023); https://doi.org/10.1117/12.2651431

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