A improved particle swarm optimization algorithm of DOA estimation
Xin Wang · Signal Processing · 2009
The problem of obtaining the high resolution direction of arrival(DOA) estimation of narrow-band sources lying in the far field of array is one of the central problems in mobile communication,radar,electronic monitoring and seismology.To overcome the slow convergence speed or the local optimal problem existing in some maximum likelihood DOA estimation algorithms and improve the estimation accuracy,a global optimal solution of nonlinear maximum likelihood DOA estimation is obtained by an improved PSO algorithm in this paper.This algorithm is based on PSO algorithm and improves the formula of velocity renewal with the influence of average information and inertia weight with the distance between current particle and best particle.Simulation results show that DOA estimation based on this improved PSO algorithm performs better than before,and its feasibility is proved by computer simulation.