A Bayesian approach to direction-of-arrival estimation of coherent signals
Yufei Huang, Petar M. Djurić · 2003
Direction-of-arrival (DOA) estimation is one of the most important problems in array processing. Many existing high resolution methods are based on eigen-decomposition techniques, and they, in many physical scenarios, have excellent performance. In the presence of coherent signals, however, these methods may no longer provide reliable results. In this paper, a Bayesian method is proposed based on a model constructed specifically for coherent signals. In addition, a Markov chain Monte Carlo (MCMC) scheme is proposed to solve some intractable integrals. Finally, simulation results are presented that compare the performance of the Bayesian DOA estimation with some existing approaches.