A novel Bayesian high-resolution direction-of-arrival estimator
Jianguo Huang, Pu Xu, Ying Lu, Yi Sun · 2001
A novel Bayesian high-resolution direction-of-arrival (DOA) estimator is proposed based on the maximum a posteriori principle. The statistical performance of the Bayesian high-resolution DOA estimator is also investigated. Comparison with MUSIC and maximum likelihood estimator (MLE) shows that the Bayesian estimator has the highest resolution and more accurate estimation for either incoherent or coherent sources. It is also more robust in the case of low SNR.