Research on the Cooperative Passive Location of Moving Targets Based on Improved Particle Swarm Optimization

Aiming at the cooperative passive location of moving targets by UAV swarm, this paper constructs a and tracking algorithm for target based on A optimization criterion improved particle swarm (PSO) algorithm. Firstly, localization method cluster is selected measurement model constructed. Then, problem improving accuracy transformed into obtaining more information. From perspective information theory, using as target, process static further deduced. The Recursive Neural Network (RNN) used to predict probability distribution target’s in next moment so improve make it suitable targets. grouping time period strategy, flow Finally, through simulation verification comparison, advantages are presented.