作者: Lu Wang , Lifan Zhao , Xiumei Li , Guoan Bi
DOI: 10.1109/ICIAFS.2014.7069537
关键词: Harmonic analysis 、 Algorithm 、 Wideband 、 Harmonic 、 Cluster analysis 、 Parametric statistics 、 Dirichlet process 、 Electronic engineering 、 Mathematics 、 Sensor array 、 Direction of arrival
摘要: In this paper, we propose a novel method to estimate the direction of arrival (DOA) harmonic acoustic signals received by uniform linear sensor array. The wideband Direction Arrival estimation problem is formulated under Bayesian framework. are firstly divided into narrow sub-bands, and sparsity in angular domain each sub-band exploited give coarse DOA. unknown information on sub-bands occupied extracted imposing Dirichlet process prior latent parametric space. Then 1-D searching procedure based reconstructed results obtained frequency occupation used refined DOA estimation. Results numerical simulations show that proposed outperforms state-of-the-art algorithms for signals.