Multi-source wideband doa estimation method by frequency focusing and error weighting

Autor:	Zhou, Jing, Bao, Changchun
Rok vydání:	2022
Předmět:	Electrical Engineering and Systems Science - Audio and Speech Processing Computer Science - Sound
Druh dokumentu:	Working Paper
Popis:	In this paper, a new multi-source wideband direction of arrival (MSW-DOA) estimation method is proposed for the signal with non-uniform distribution using the sub-array of uniform linear array. Different from conventional methods, based on the free far-field model, the proposed method mainly makes two contributions. One is that the sub-array decomposition is adopted to improve the accuracy of MSW-DOA estimation by minimizing the weighted error, and the other one is that the frequency focusing procedure is optimized according to the presence probability of sound sources for reducing the influence of the sub-bands with low signal to noise ratio (SNR). Simulation results show that the proposed method can effectively improve the performance of wideband DOA estimation in the case of multiple sound sources. Comment: 5 pages, 5 figures, this paper has been submitted to interspeech 2022, confirmation number: 445
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2203.14494 Zobrazit plný text záznamu View this record from Arxiv