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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

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 languageEnglish (US)
Title of host publication2015 IEEE China Summit and International Conference on Signal and Information Processing, ChinaSIP 2015 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages746-750
Number of pages5
ISBN (Electronic)9781479919482
DOIs
StatePublished - Aug 31 2015
EventIEEE China Summit and International Conference on Signal and Information Processing, ChinaSIP 2015 - Chengdu, China
Duration: Jul 12 2015Jul 15 2015

Publication series

Name2015 IEEE China Summit and International Conference on Signal and Information Processing, ChinaSIP 2015 - Proceedings

Other

OtherIEEE China Summit and International Conference on Signal and Information Processing, ChinaSIP 2015
CountryChina
CityChengdu
Period7/12/157/15/15

Keywords

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

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