Robust adaptive beamforming based on interference covariance matrix reconstruction and mismatched steering vector compensation

Lu Yan; Xiaopeng Yang; Wen Xi; Zongao Zhang; Tapan K. Sarkar

doi:10.1109/APCAP.2014.6992449

Robust adaptive beamforming based on interference covariance matrix reconstruction and mismatched steering vector compensation

Lu Yan, Xiaopeng Yang, Wen Xi, Zongao Zhang, Tapan K. Sarkar

Department of Electrical Engineering & Computer Science

Research output: Chapter in Book/Entry/Poem › Conference contribution

2 Scopus citations

Abstract

The performance of adaptive beamforming degrades in presence of signal model mismatches. In particular, when the desired signal is present in training snapshots, the adaptive beamforming is quite sensitive to desired signal steering vector mismatch. Therefore, a robust adaptive beamforming for actual system is proposed based on the reconstruction of interference covariance matrix and mismatched steering vector compensation. In the proposed method, the interference covariance matrix is firstly reconstructed by using Root-MUSIC method to estimate Direction-of-Arrival (DOA) of signals, where the desired signal component is removed from the training snapshots. Subsequently, the mismatched desired signal steering vector is compensated by solving a quadratically constrained quadratic programming problem. Simulation results show that the performance of proposed algorithm outperforms the existing robust adaptive beamforming, and the output signal-to-interference-plus-noise ratio (SINR) is close to optimal values. Therefore, the proposed algorithm could be significantly effective for actual system.

Original language	English (US)
Title of host publication	Proceedings of 3rd Asia-Pacific Conference on Antennas and Propagation, APCAP 2014
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	189-192
Number of pages	4
ISBN (Electronic)	9781479943548
DOIs	https://doi.org/10.1109/APCAP.2014.6992449
State	Published - Dec 18 2014
Event	3rd Asia-Pacific Conference on Antennas and Propagation, APCAP 2014 - Harbin, China Duration: Jul 26 2014 → Jul 29 2014

Publication series

Name	Proceedings of 3rd Asia-Pacific Conference on Antennas and Propagation, APCAP 2014

Other

Other	3rd Asia-Pacific Conference on Antennas and Propagation, APCAP 2014
Country/Territory	China
City	Harbin
Period	7/26/14 → 7/29/14

Keywords

Adaptive beamforming
Root-MUSIC
quadratically constrained quadratic programming
reconstructed interference covariance

ASJC Scopus subject areas

Computer Networks and Communications

Access to Document

10.1109/APCAP.2014.6992449

Cite this

Yan, L., Yang, X., Xi, W., Zhang, Z., & Sarkar, T. K. (2014). Robust adaptive beamforming based on interference covariance matrix reconstruction and mismatched steering vector compensation. In Proceedings of 3rd Asia-Pacific Conference on Antennas and Propagation, APCAP 2014 (pp. 189-192). Article 6992449 (Proceedings of 3rd Asia-Pacific Conference on Antennas and Propagation, APCAP 2014). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/APCAP.2014.6992449

Robust adaptive beamforming based on interference covariance matrix reconstruction and mismatched steering vector compensation. / Yan, Lu; Yang, Xiaopeng; Xi, Wen et al.
Proceedings of 3rd Asia-Pacific Conference on Antennas and Propagation, APCAP 2014. Institute of Electrical and Electronics Engineers Inc., 2014. p. 189-192 6992449 (Proceedings of 3rd Asia-Pacific Conference on Antennas and Propagation, APCAP 2014).

Research output: Chapter in Book/Entry/Poem › Conference contribution

Yan, L, Yang, X, Xi, W, Zhang, Z & Sarkar, TK 2014, Robust adaptive beamforming based on interference covariance matrix reconstruction and mismatched steering vector compensation. in Proceedings of 3rd Asia-Pacific Conference on Antennas and Propagation, APCAP 2014., 6992449, Proceedings of 3rd Asia-Pacific Conference on Antennas and Propagation, APCAP 2014, Institute of Electrical and Electronics Engineers Inc., pp. 189-192, 3rd Asia-Pacific Conference on Antennas and Propagation, APCAP 2014, Harbin, China, 7/26/14. https://doi.org/10.1109/APCAP.2014.6992449

Yan L, Yang X, Xi W, Zhang Z, Sarkar TK. Robust adaptive beamforming based on interference covariance matrix reconstruction and mismatched steering vector compensation. In Proceedings of 3rd Asia-Pacific Conference on Antennas and Propagation, APCAP 2014. Institute of Electrical and Electronics Engineers Inc. 2014. p. 189-192. 6992449. (Proceedings of 3rd Asia-Pacific Conference on Antennas and Propagation, APCAP 2014). doi: 10.1109/APCAP.2014.6992449

Yan, Lu ; Yang, Xiaopeng ; Xi, Wen et al. / Robust adaptive beamforming based on interference covariance matrix reconstruction and mismatched steering vector compensation. Proceedings of 3rd Asia-Pacific Conference on Antennas and Propagation, APCAP 2014. Institute of Electrical and Electronics Engineers Inc., 2014. pp. 189-192 (Proceedings of 3rd Asia-Pacific Conference on Antennas and Propagation, APCAP 2014).

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abstract = "The performance of adaptive beamforming degrades in presence of signal model mismatches. In particular, when the desired signal is present in training snapshots, the adaptive beamforming is quite sensitive to desired signal steering vector mismatch. Therefore, a robust adaptive beamforming for actual system is proposed based on the reconstruction of interference covariance matrix and mismatched steering vector compensation. In the proposed method, the interference covariance matrix is firstly reconstructed by using Root-MUSIC method to estimate Direction-of-Arrival (DOA) of signals, where the desired signal component is removed from the training snapshots. Subsequently, the mismatched desired signal steering vector is compensated by solving a quadratically constrained quadratic programming problem. Simulation results show that the performance of proposed algorithm outperforms the existing robust adaptive beamforming, and the output signal-to-interference-plus-noise ratio (SINR) is close to optimal values. Therefore, the proposed algorithm could be significantly effective for actual system.",

keywords = "Adaptive beamforming, Root-MUSIC, quadratically constrained quadratic programming, reconstructed interference covariance",

author = "Lu Yan and Xiaopeng Yang and Wen Xi and Zongao Zhang and Sarkar, {Tapan K.}",

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AU - Yan, Lu

AU - Yang, Xiaopeng

AU - Xi, Wen

AU - Zhang, Zongao

AU - Sarkar, Tapan K.

PY - 2014/12/18

Y1 - 2014/12/18

N2 - The performance of adaptive beamforming degrades in presence of signal model mismatches. In particular, when the desired signal is present in training snapshots, the adaptive beamforming is quite sensitive to desired signal steering vector mismatch. Therefore, a robust adaptive beamforming for actual system is proposed based on the reconstruction of interference covariance matrix and mismatched steering vector compensation. In the proposed method, the interference covariance matrix is firstly reconstructed by using Root-MUSIC method to estimate Direction-of-Arrival (DOA) of signals, where the desired signal component is removed from the training snapshots. Subsequently, the mismatched desired signal steering vector is compensated by solving a quadratically constrained quadratic programming problem. Simulation results show that the performance of proposed algorithm outperforms the existing robust adaptive beamforming, and the output signal-to-interference-plus-noise ratio (SINR) is close to optimal values. Therefore, the proposed algorithm could be significantly effective for actual system.

AB - The performance of adaptive beamforming degrades in presence of signal model mismatches. In particular, when the desired signal is present in training snapshots, the adaptive beamforming is quite sensitive to desired signal steering vector mismatch. Therefore, a robust adaptive beamforming for actual system is proposed based on the reconstruction of interference covariance matrix and mismatched steering vector compensation. In the proposed method, the interference covariance matrix is firstly reconstructed by using Root-MUSIC method to estimate Direction-of-Arrival (DOA) of signals, where the desired signal component is removed from the training snapshots. Subsequently, the mismatched desired signal steering vector is compensated by solving a quadratically constrained quadratic programming problem. Simulation results show that the performance of proposed algorithm outperforms the existing robust adaptive beamforming, and the output signal-to-interference-plus-noise ratio (SINR) is close to optimal values. Therefore, the proposed algorithm could be significantly effective for actual system.

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KW - Root-MUSIC

KW - quadratically constrained quadratic programming

KW - reconstructed interference covariance

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ER -

Robust adaptive beamforming based on interference covariance matrix reconstruction and mismatched steering vector compensation

Abstract

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Keywords

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