A MINIMUM VARIANCE DISTORTIONLESS RESPONSE SPECTRAL ESTIMATOR WITH KRONECKER PRODUCT FILTERS

Wang X, Benesty J, Huang G, Chen J (2022)

Publication Type: Conference contribution

Publication year: 2022

Publisher: European Signal Processing Conference, EUSIPCO

Book Volume: 2022-August

Pages Range: 2261-2265

Conference Proceedings Title: European Signal Processing Conference

Event location: Belgrade, SRB

ISBN: 9789082797091

Abstract

Spectral estimation is of significant practical importance in a wide range of applications. This paper proposes a minimum variance distortionless response (MVDR) method for spectral estimation based on the Kronecker product. Taking advantage of the particular structure of the Fourier vector, we decompose it as a Kronecker product of two shorter vectors. Then, we design the spectral estimation filters under the same structure, i.e., as a Kronecker product of two filters. Consequently, the conventional MVDR spectrum problem is transformed to one of estimating two filters of much shorter lengths. Since it has much fewer parameters to estimate, the proposed method is able to achieve better performance than its conventional counterpart, particularly when the number of available signal samples is small. Also presented in this paper is the generalization to the estimation of the cross-spectrum and coherence function.

Authors with CRIS profile

Gongping Huang Lehrstuhl für Multimediakommunikation und Signalverarbeitung (LMS)

Involved external institutions

Northwestern Polytechnical University / 西北工业大学 (NPU/NWPU) CN China (CN) The Énergie Matériaux Télécommunications (Energy Materials Telecommunications) Research Centre CA Canada (CA)

How to cite

APA:

Wang, X., Benesty, J., Huang, G., & Chen, J. (2022). A MINIMUM VARIANCE DISTORTIONLESS RESPONSE SPECTRAL ESTIMATOR WITH KRONECKER PRODUCT FILTERS. In European Signal Processing Conference (pp. 2261-2265). Belgrade, SRB: European Signal Processing Conference, EUSIPCO.

MLA:

Wang, Xianrui, et al. "A MINIMUM VARIANCE DISTORTIONLESS RESPONSE SPECTRAL ESTIMATOR WITH KRONECKER PRODUCT FILTERS." Proceedings of the 30th European Signal Processing Conference, EUSIPCO 2022, Belgrade, SRB European Signal Processing Conference, EUSIPCO, 2022. 2261-2265.

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