A new Gibbs sampling DOA estimator based on Bayesian method

Jianguo Huang, Yi Sun, Kewei Liu, Hongfeng Qin · 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03). · 2004

A new Gibbs sampling DOA estimator based on Bayesian method (GSDB) is proposed to estimate the directions of multiple sources. The estimator combines the Gibbs sampler and the Bayesian high-resolution method. The formulation of the proposed Gibbs sampling DOA estimator based on the Bayesian method is derived. The new method not only possesses the performance of the high-resolution direction finding in the original Bayesian method but also provides reduced computational complexity to the original one from O(L/sup K/) to O(K/spl times/J/spl times/N/sub s/). Comparison with MUSIC shows that the new estimator has higher resolution and better performance in low SNR.

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