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

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.