Amplitude and direction of arrival estimation using differential evolution

In this paper, we proposed an evolutionary algorithm for joint estimation of amplitude and DOA of signals impinging from far field on a uniform linear array. We used Differential Evolution algorithm with Mean Square Error as a fitness evaluation function. This fitness function defines an error between actual and estimated signal and is derived from Maximum Likelihood Principle. It does not require any permutations to link it with the angles estimated in the previous snapshot. It requires only single snapshot to converge and produce fairly good results even in the presence of low Signal to Noise Ratio. The usefulness and competence of proposed algorithm is tested on the basis of large number of Monte-Carlo simulations and its statistical analysis.