Doa estimation using improved genetic algorithm
Xiao Xian · Chinese Journal of Radio Science · 2000
The maximum likelihood estimation (MLE) of DOA is an appealing algorithm. With the best Statistical Performance. However, with its multi dimensional parameter estimation computation load, the conventional searching method was limited by the minimum search step, and the ability of the conventional search to converge to global optimality is determined by the initial search point. Improved genetic algorithm (IGA) is an orienteed random search method, which has a moderate precondition, a good probability converge to global optimum. We resolved this problem with IGA, and convinced its viability with computer simulations.