Multi-source wideband doa estimation method by frequency focusing and error weighting
Jing Zhou, Changchun Bao

TL;DR
This paper introduces a novel multi-source wideband DOA estimation method that enhances accuracy and robustness by sub-array decomposition and optimized frequency focusing, especially in low SNR conditions.
Contribution
The paper proposes a new MSW-DOA estimation approach using sub-array decomposition and optimized frequency focusing based on source presence probability.
Findings
Improved accuracy in wideband DOA estimation with multiple sources.
Effective reduction of low SNR sub-band influence.
Enhanced performance demonstrated through simulations.
Abstract
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.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsSpeech and Audio Processing · Direction-of-Arrival Estimation Techniques · Advanced Adaptive Filtering Techniques
