Wideband Direction-of-Arrival Estimation via Covariance Fitting and Focusing

Wu X, Yang Z, Wei Z, Schober R, Xu Z (2024)


Publication Type: Conference contribution

Publication year: 2024

Publisher: European Signal Processing Conference, EUSIPCO

Pages Range: 2282-2286

Conference Proceedings Title: European Signal Processing Conference

Event location: Lyon FR

ISBN: 9789464593617

Abstract

This paper studies the problem of direction-of-arrival (DOA) estimation for multiple wideband source signals using a uniform linear array. We propose a covariance fitting and focusing-based estimation method (COFFEE). Specifically, we develop a wideband covariance fitting criterion and formulate a corresponding bilevel optimization problem by introducing focusing operations on covariance matrices. We show that the upper-level problem for covariance fitting can be cast as a rank-constrained semidefinite programming (SDP) and the lower-level problem for the focusing matrices has a closed-form solution. We develop an alternating direction method of multipliers algorithm for the rank-constrained SDP. We further propose an alternating iterative algorithm to solve the overall bilevel optimization problem. Numerical results demonstrate that COFFEE outperforms existing methods.

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How to cite

APA:

Wu, X., Yang, Z., Wei, Z., Schober, R., & Xu, Z. (2024). Wideband Direction-of-Arrival Estimation via Covariance Fitting and Focusing. In European Signal Processing Conference (pp. 2282-2286). Lyon, FR: European Signal Processing Conference, EUSIPCO.

MLA:

Wu, Xunmeng, et al. "Wideband Direction-of-Arrival Estimation via Covariance Fitting and Focusing." Proceedings of the 32nd European Signal Processing Conference, EUSIPCO 2024, Lyon European Signal Processing Conference, EUSIPCO, 2024. 2282-2286.

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