Maximum Likelihood DOA Estimator Based on Perfect Sampling
Ming Xin · Journal of Henan University · 2009
In order to solve the problem of computation burden,Markov Monte Carlo methods are combined with Maximum Likelihood DOA estimator. A novel Maximum Likelihood DOA Estimator based on Perfect Sampling (PSMLE) is proposed. PSMLE not only keeps the excellent performance of the original MLE,but also reduces the computation greatly,from the computational complexity O(LK) of original method to O(K×J×Np).