Abstract:

In order to solve the maximum likelihood DOA(Direction of Arrival) and to estimate shortcoming of large calculated amount in multidimensional nonlinear search, this work combines the cuckoo search algorithm and the maximum likelihood algorithm, using the advantage of cuckoo search algorithm which has a fast searching speed, to optimize multidimensional nonlinear spectral function of maximum likelihood estimation of DOA. This work improves the position iteration algorithm speeding up the convergence, and preserves the main idea of Cuckoo search algorithm at the same time. The simulation results show that the modified cuckoo search algorithm has better convergence in DOA estimation, and the estimate performance is better.

Key words: direction of arrival(DOA) estimation, maximum likelihood, cuckoo search algorithm