通信与信息技术Issue(5)：49-52,99,5.
多目标粒子群优化的二维MUSIC测向算法
2D DOA estimation algorithm optimized by multi-objective particle swarm optimization
郭鹏1
作者信息
- 1. 成都华力创通科技有限公司,成都 610000
- 折叠
摘要
Abstract
A multi-objective particle swarm optimization two-dimensional MUSIC direction finding algorithm is proposed to address the problem of high computational complexity in searching for multiple spectral peaks in the two-dimensional MUSIC direction finding al-gorithm.This algorithm utilizes the advantages of fast convergence and high accuracy of the multi-objective particle swarm algorithm.This algorithm is based on a planar array and performs multi spectral peak search in both azimuth and elevation dimensions.It introduces mutation probability in the inertia weight to improve the convergence speed and accuracy of the particle swarm algorithm,and introduces distance measurement and error cost function in the fitness function to enhance the multi-target search ability.Compared with traditional global two-dimensional grid spectral peak search,it reduces search time,improves search success rate,and has high angle estimation ac-curacy.The correctness and feasibility of the multi-objective particle swarm optimization two-dimensional MUSIC direction finding algo-rithm have been verified through Monte Carlo simulation.关键词
多目标/粒子群/MUSIC/平面阵列/变异概率Key words
Multi objective/Particle swarm optimization/MUSIC/Planar array/Mutation probability分类
信息技术与安全科学引用本文复制引用
郭鹏..多目标粒子群优化的二维MUSIC测向算法[J].通信与信息技术,2025,(5):49-52,99,5.
