Research on Optimization Algorithm Based on PDOA

Based on the research of angle of arrival (AOA) positioning technology, this paper analyzes the optimization of phase difference of arrival (pdoa) algorithm based on AOA. Pdoa algorithm does not need strict clock synchronization, and has no offset error. It has excellent anti multipath ability, high time resolution and high precision. At the same time, chaos particle swarm optimization algorithm is used to optimize it, which can not only prevent it from falling into the local optimal solution, but also improve the performance and effect of optimization. In the experiment and simulation analysis, the chaotic particle swarm optimization algorithm is compared with the basic particle swarm optimization algorithm. The results show that the method can effectively improve the tracking accuracy of pdoa positioning and enhance the stability of the positioning system.