Abstract:

In view of the approximated maximum likelihood (AML)estimation which is suitable to the short time sampling wideband signals DOA estimation, is nonperfect for its very large computation load, a novel approximated maximum likelihood DOA estimation based on MetropolisHasting sampling (AMLMH) is proposed by combining the Markov chain Monte Carlo methods are combined with approximated maximum likelihood DOA estimator.  AMLMH regards the power of the AML spectrum function as the target distribution up to a constant proportionality, and uses MetropolisHasting sampler to sample from it. Simulations show that AMLMH not only keeps the excellent performance of the original AML but also reduces the computational load greatly.