A maximum likelihood function approach to direction estimation based on evolutionary algorithms

Abstract

A maximum likelihood method based on evolutionary algorithms (EA) is presented to estimate the direction of arrival (DOA) of coherent signals. For the capability of fast global searching, and independence of initial parameters, this approach offers real time, high resolution in DOA estimation. Simulation results show its efficiency and robust.