Research on improvement of hybrid particle swarm algorithm in underwater active electric field positioning technology

Abstract

Since the underwater active electric field positioning algorithm based on the MP-MUSIC algorithm has a slower positioning search speed, the hybrid particle swarm algorithm is introduced to speed up the positioning search speed and positioning accuracy. This paper improves the particle swarm algorithm, adopts dynamic learning factors, and uses natural selection-hybrid particle swarm algorithm to improve the search speed and positioning accuracy of the positioning algorithm.