A Simulation of Target Tracking and RCS Based on Improved Particle Swarm Optimization Algorithm
In view of the fidelity issue of moving target tracking simulation and RCS characteristics,a tar-get tracking and RCS simulation method is proposed based on the improved particle swarm algorithm(PSO).Firstly,the basic principle of simulating the tracking of moving targets is analyzed by unmanned aerial vehicles(UAV),the motion model and coupling relationship between UAVs and simulated targets are discussed,and the coupling factors and control quantities are determined.And then,the constraint conditions for simulating the target tracking are analyzed,and the target optimization fitness function is given in consideration of UAV performance and energy consumption,and an optimal control model is es-tablished for simulating the target tracking.To improve the accuracy and practicality of the model solu-tion,the particle swarm optimization algorithm is improved and embedded in the model solution,achie-ving an effective simulation of the target tracking.Finally,based on the simulated target tracking,the an-gle of altitude in simulating flight target is calculated through flight dynamics principles and coordinate system transformation,and the RCS of the simulated flight target is simulated by the electromagnetic cal-culation software.The simulation results show that this method is wide applicable for achieving tracking simulation of moving targets and RCS simulation.
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