Analysis and implementation of multi-cooperative target location algorithm based on distance measurement

Shixiong Luo; Chuangang Xu; Jiangpeng Song

doi:10.1117/12.3006994

18 December 2023 Analysis and implementation of multi-cooperative target location algorithm based on distance measurement

Shixiong Luo, Chuangang Xu, Jiangpeng Song

Author Affiliations +

Proceedings Volume 12963, AOPC 2023: Optical Sensing, Imaging, and Display Technology and Applications; and Biomedical Optics; 129630L (2023) https://doi.org/10.1117/12.3006994
Event: Applied Optics and Photonics China 2023 (AOPC2023), 2023, Beijing, China

Abstract

Aiming at the problem of reconnaissance and positioning of ground targets by airborne photoelectric detection equipment, this paper firstly studies the problem and model of multi-cooperative positioning based on distance measurement, and analyzes the factors affecting the positioning accuracy. Then, three solving methods of multicooperative target location based on distance measurement are proposed: least square algorithm, traditional particle swarm optimization algorithm and improved particle swarm optimization algorithm based on least square. The positioning accuracy and efficiency of the above three algorithms are simulated and compared in MATLAB, and the above algorithms are verified by flight test data. The experimental results show that the improved particle swarm optimization algorithm based on least squares has high computational accuracy and efficiency for solving the location equation of cooperative distance measurement.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Shixiong Luo, Chuangang Xu, and Jiangpeng Song "Analysis and implementation of multi-cooperative target location algorithm based on distance measurement", Proc. SPIE 12963, AOPC 2023: Optical Sensing, Imaging, and Display Technology and Applications; and Biomedical Optics, 129630L (18 December 2023); https://doi.org/10.1117/12.3006994

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