A Closed-Form DOA Estimator Using Spherical Microphone Arrays in the Presence of Interference

Yilong Lu, Chao Pan, Jingdong Chen, Jacob Benesty

科研成果: 期刊稿件文章同行评审

1 引用 (Scopus)

摘要

Direction-of-arrival (DOA) estimation is challenging in complex acoustic environments with background noise and interference. Utilizing spherical microphone arrays, closed-form estimators can be derived, which are attractive for practical applications due to their computational efficiency, eliminating the need for exhaustive extremum searching. However, current closed-form estimators are susceptible to interference. To address this issue, we propose an estimator that directly computes the DOA of the desired source using the covariance matrix of the observation signals. This approach effectively mitigates the impact of interference when the covariance matrix is accurately estimated. Simulation results demonstrate the superior performance of the proposed method compared to the subspace pseudo-intensity vector (SSPIV) and relative harmonic coefficients (RHC) methods.

源语言英语
页(从-至)1770-1774
页数5
期刊IEEE Signal Processing Letters
31
DOI
出版状态已出版 - 2024

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