A Compressive Sensing Approach for Single-Snapshot Adaptive Beamforming

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review

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Author(s)

Related Research Unit(s)

Detail(s)

Original languageEnglish
Title of host publication2020 IEEE 11th Sensor Array and Multichannel Signal Processing Workshop (SAM)
PublisherIEEE
ISBN (Electronic)9781728119465
Publication statusPublished - Jun 2020

Publication series

NameProceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop
Volume2020-June
ISSN (Electronic)2151-870X

Conference

Title11th IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM 2020)
LocationVirtual
PlaceChina
CityHangzhou
Period8 - 11 June 2020

Abstract

This paper introduces a compressive sensing approach for single-snapshot adaptive beamforming. The observation data model is considered as source components in additive white noise, and then a compressive sensing formulation is introduced to estimate the parameters of the interference signals. That is, a LASSO regression problem is proposed and solved, yielding the directions as well as the powers of the interference signals. On the other hand, the noise power is estimated by means of averaging the squares of the difference between the observation data and the estimate of the source components. Finally, the interference-plus-noise covariance matrix is reconstructed and used for adaptive beamformer design. Simulation results show better performance of the proposed beamformer than several existing beamformers, in the case of a single snapshot.

Research Area(s)

  • Adaptive beamforming, Compressive sensing, Covariance matrix reconstruction, Single snapshot, Sparsity

Bibliographic Note

Research Unit(s) information for this publication is provided by the author(s) concerned.

Citation Format(s)

A Compressive Sensing Approach for Single-Snapshot Adaptive Beamforming. / Huang, Huiping; Zoubir, Abdelhak M.; So, Hing Cheung.

2020 IEEE 11th Sensor Array and Multichannel Signal Processing Workshop (SAM). IEEE, 2020. 9104359 (Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop; Vol. 2020-June).

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review