Direction of Arrival Estimation Based on Chaotic Optimization Algorithm
基于混沌寻优的DOA估计

In this paper, a chaotic optimization method is presented for computing the Maximum Likelihood Estimation (MLE) of Direction of Arrivals (DOA) in sensor array processing. Based on the properties of ergodicity, stochastic property and "regularity" of chaos, the chaos optimization method can get global solution with low computational load. The simulation results show that this method is feasible and effective. Especially when the impinging signals are coherent, this method is much superior to AP.