A NOVEL WORST-CASE ROBUST BEAMFORMER BASED ON INTERFERENCE-PLUS-NOISE COVARIANCE RECONSTRUCTION AND UNCERTAINTY LEVEL ESTIMATION

Yunmei Shi; Lei Huang; Cheng Qian; Yonghua Wang; Weixin Xie; H. C. So

doi:10.1109/ChinaSIP.2015.7230504

A NOVEL WORST-CASE ROBUST BEAMFORMER BASED ON INTERFERENCE-PLUS-NOISE COVARIANCE RECONSTRUCTION AND UNCERTAINTY LEVEL ESTIMATION

Yunmei Shi
, Lei Huang
, Cheng Qian
, Yonghua Wang
, Weixin Xie
, H. C. So

Department of Electrical Engineering

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

1 Citation (Scopus)

Abstract

A variant of adaptive worst-case (WC) beamformer is devised in this paper, which is robust against arbitrary unknown signal steering vector (SSV) mismatches. Compared with the conventional WC beamforming approach, the proposed method is further improved in terms of robustness by reconstructing the interference-plus-noise covariance matrix (IN-CM) and adaptively adjusting the uncertainty level of the SSV errors. In particular, the INCM is obtained by using the Capon spatial spectrum as the power distribution, and then the uncertainty level is estimated by maximizing the output power. Simulation results are included to illustrate the superiority of the proposed method.

Original language	English
Title of host publication	2015 IEEE China Summit & International Conference on Signal and Information Processing - PROCEEDINGS
Publisher	IEEE
Pages	746-750
ISBN (Print)	9781479919482
DOIs	https://doi.org/10.1109/ChinaSIP.2015.7230504
Publication status	Published - 12 Jul 2015
Event	2015 IEEE China Summit & International Conference on Signal and Information Processing (ChinaSIP 2015) - JinJiang Hotel, Chengdu, China Duration: 12 Jul 2015 → 15 Jul 2015

Conference

Conference	2015 IEEE China Summit & International Conference on Signal and Information Processing (ChinaSIP 2015)
Place	China
City	Chengdu
Period	12/07/15 → 15/07/15

Research Keywords

Capon spatial spectrum
robust beamforming
signal steering vector mismatch
uncertainty level
Worst-case

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10.1109/ChinaSIP.2015.7230504

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Shi, Y., Huang, L., Qian, C., Wang, Y., Xie, W., & So, H. C. (2015). A NOVEL WORST-CASE ROBUST BEAMFORMER BASED ON INTERFERENCE-PLUS-NOISE COVARIANCE RECONSTRUCTION AND UNCERTAINTY LEVEL ESTIMATION. In 2015 IEEE China Summit & International Conference on Signal and Information Processing - PROCEEDINGS (pp. 746-750). Article 7230504 IEEE. https://doi.org/10.1109/ChinaSIP.2015.7230504

@inproceedings{4008bcf4c72a4c45895546d4846cf794,

title = "A NOVEL WORST-CASE ROBUST BEAMFORMER BASED ON INTERFERENCE-PLUS-NOISE COVARIANCE RECONSTRUCTION AND UNCERTAINTY LEVEL ESTIMATION",

abstract = "A variant of adaptive worst-case (WC) beamformer is devised in this paper, which is robust against arbitrary unknown signal steering vector (SSV) mismatches. Compared with the conventional WC beamforming approach, the proposed method is further improved in terms of robustness by reconstructing the interference-plus-noise covariance matrix (IN-CM) and adaptively adjusting the uncertainty level of the SSV errors. In particular, the INCM is obtained by using the Capon spatial spectrum as the power distribution, and then the uncertainty level is estimated by maximizing the output power. Simulation results are included to illustrate the superiority of the proposed method.",

keywords = "Capon spatial spectrum, robust beamforming, signal steering vector mismatch, uncertainty level, Worst-case",

author = "Yunmei Shi and Lei Huang and Cheng Qian and Yonghua Wang and Weixin Xie and So, \{H. C.\}",

year = "2015",

month = jul,

day = "12",

doi = "10.1109/ChinaSIP.2015.7230504",

language = "English",

isbn = "9781479919482",

pages = "746--750",

booktitle = "2015 IEEE China Summit \& International Conference on Signal and Information Processing - PROCEEDINGS",

publisher = "IEEE",

address = "United States",

note = "2015 IEEE China Summit \& International Conference on Signal and Information Processing (ChinaSIP 2015) ; Conference date: 12-07-2015 Through 15-07-2015",

}

Shi, Y, Huang, L, Qian, C, Wang, Y, Xie, W & So, HC 2015, A NOVEL WORST-CASE ROBUST BEAMFORMER BASED ON INTERFERENCE-PLUS-NOISE COVARIANCE RECONSTRUCTION AND UNCERTAINTY LEVEL ESTIMATION. in 2015 IEEE China Summit & International Conference on Signal and Information Processing - PROCEEDINGS., 7230504, IEEE, pp. 746-750, 2015 IEEE China Summit & International Conference on Signal and Information Processing (ChinaSIP 2015), Chengdu, China, 12/07/15. https://doi.org/10.1109/ChinaSIP.2015.7230504

A NOVEL WORST-CASE ROBUST BEAMFORMER BASED ON INTERFERENCE-PLUS-NOISE COVARIANCE RECONSTRUCTION AND UNCERTAINTY LEVEL ESTIMATION. / Shi, Yunmei; Huang, Lei; Qian, Cheng et al.
2015 IEEE China Summit & International Conference on Signal and Information Processing - PROCEEDINGS. IEEE, 2015. p. 746-750 7230504.

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

T1 - A NOVEL WORST-CASE ROBUST BEAMFORMER BASED ON INTERFERENCE-PLUS-NOISE COVARIANCE RECONSTRUCTION AND UNCERTAINTY LEVEL ESTIMATION

AU - Shi, Yunmei

AU - Huang, Lei

AU - Qian, Cheng

AU - Wang, Yonghua

AU - Xie, Weixin

AU - So, H. C.

PY - 2015/7/12

Y1 - 2015/7/12

N2 - A variant of adaptive worst-case (WC) beamformer is devised in this paper, which is robust against arbitrary unknown signal steering vector (SSV) mismatches. Compared with the conventional WC beamforming approach, the proposed method is further improved in terms of robustness by reconstructing the interference-plus-noise covariance matrix (IN-CM) and adaptively adjusting the uncertainty level of the SSV errors. In particular, the INCM is obtained by using the Capon spatial spectrum as the power distribution, and then the uncertainty level is estimated by maximizing the output power. Simulation results are included to illustrate the superiority of the proposed method.

AB - A variant of adaptive worst-case (WC) beamformer is devised in this paper, which is robust against arbitrary unknown signal steering vector (SSV) mismatches. Compared with the conventional WC beamforming approach, the proposed method is further improved in terms of robustness by reconstructing the interference-plus-noise covariance matrix (IN-CM) and adaptively adjusting the uncertainty level of the SSV errors. In particular, the INCM is obtained by using the Capon spatial spectrum as the power distribution, and then the uncertainty level is estimated by maximizing the output power. Simulation results are included to illustrate the superiority of the proposed method.

KW - Capon spatial spectrum

KW - robust beamforming

KW - signal steering vector mismatch

KW - uncertainty level

KW - Worst-case

UR - https://www.scopus.com/pages/publications/84957569271

UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-84957569271&origin=recordpage

U2 - 10.1109/ChinaSIP.2015.7230504

DO - 10.1109/ChinaSIP.2015.7230504

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 9781479919482

SP - 746

EP - 750

BT - 2015 IEEE China Summit & International Conference on Signal and Information Processing - PROCEEDINGS

PB - IEEE

T2 - 2015 IEEE China Summit & International Conference on Signal and Information Processing (ChinaSIP 2015)

Y2 - 12 July 2015 through 15 July 2015

ER -

A NOVEL WORST-CASE ROBUST BEAMFORMER BASED ON INTERFERENCE-PLUS-NOISE COVARIANCE RECONSTRUCTION AND UNCERTAINTY LEVEL ESTIMATION

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Research Keywords

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