DOA Estimation Based on Enhanced SRP-MVDR Using Kronecker Product Decomposition for Large Rectangular Microphone Arrays

Yichen Zeng, Jilu Jin, Gongping Huang, Jingdong Chen, Jacob Benesty

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

Direction-of-arrival (DOA) estimation is a key process in microphone array systems. The steered response power-based minimum variance distortionless response (SRP-MVDR) method performs very well in challenging acoustic environments but suffers from exponential complexity as the number of microphones increases. To improve the efficiency of SRP-MVDR for real-time applications, we propose a Kronecker product-based SRP-MVDR (SRP-KPMVDR) method designed for large rectangular microphone arrays. This approach begins with a rank-one approximation that represents the signal covariance matrix of a rectangular microphone array in Kronecker product form, which is essential for SRP-MVDR estimation. By utilizing the Kronecker product properties, the complex matrix inversion in SRP-MVDR is simplified to the inversion of two smaller matrices, significantly reducing computational complexity. Simulation results show that the SRP-KPMVDR method achieves comparable performance to the traditional SRP-MVDR while greatly decreasing the computational demands.

源语言英语
主期刊名2025 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2025 - Proceedings
编辑Bhaskar D Rao, Isabel Trancoso, Gaurav Sharma, Neelesh B. Mehta
出版商Institute of Electrical and Electronics Engineers Inc.
ISBN(电子版)9798350368741
DOI
出版状态已出版 - 2025
活动2025 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2025 - Hyderabad, 印度
期限: 6 4月 202511 4月 2025

出版系列

姓名ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ISSN(印刷版)1520-6149

会议

会议2025 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2025
国家/地区印度
Hyderabad
时期6/04/2511/04/25

指纹

探究 'DOA Estimation Based on Enhanced SRP-MVDR Using Kronecker Product Decomposition for Large Rectangular Microphone Arrays' 的科研主题。它们共同构成独一无二的指纹。

引用此