Estimating direction-of-arrival of coherent source based on particle swarm optimization algorithm
Cao Zhi-hua · Harbin Gongcheng Daxue Xuebao/Journal of Harbin Engineering University · 2006
Using a particle swarm optimization algorithm and generalized maximum likelihood algorithm,a novel method to estimate direction-of-arrival(DOA) of a coherent source is proposed.For the proposed algorithm,incident sources may be a mixture of multi-clusters of coherent sources,the array's geometry is unrestricted,and more importantly,the number of sources resolved can be larger than the number of sensors.In order to realize precise fitting of the cost function,the mechanism of Gaussian mutation was considered in an original particle swarm optimization algorithm,and a modified particle swarm optimization algorithm for DOA was proposed.Simulation results show that DOA estimation of coherent sources based on a particle swarm optimization algorithm performs better than a genetic algorithm in aspects of convergence and estimation precision,and its efficacy and feasibility are proved by computer simulation.