Derivative constrained Noncircularity-rate Maximization robust beamforming

Jingyan Ma, Zhiwen Liu, Yougen Xu, Xiaoming Gou

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

This paper proposes an extension of the NOncircularity Rate Maximization (NORM) beamformer that takes into account noncircular interferences. The main idea of the new approach is to utilize the spatial diversity and noncircularity dissimilarity between the desired signal and interferences plus noise simultaneously. For this purpose, the weight vector is designed by maximizing the non-circularity rate of desired signal with imposing derivative constraints on the interference directions. The proposed derivative constrained NORM algorithm could broaden the width of pattern null, therefore it provides robustness in the presence of noncircular interferences. Besides that, the new method could also be adjusted to apply in rapidly moving jammer environments, without the requirement of desired signal-free sample data. Numerical examples are included to illustrate the performance of the proposed beamformer.

Original languageEnglish
Title of host publication2013 IEEE International Conference of IEEE Region 10, IEEE TENCON 2013 - Conference Proceedings
DOIs
Publication statusPublished - 2013
Event2013 IEEE International Conference of IEEE Region 10, IEEE TENCON 2013 - Xi'an, Shaanxi, China
Duration: 22 Oct 201325 Oct 2013

Publication series

NameIEEE Region 10 Annual International Conference, Proceedings/TENCON
ISSN (Print)2159-3442
ISSN (Electronic)2159-3450

Conference

Conference2013 IEEE International Conference of IEEE Region 10, IEEE TENCON 2013
Country/TerritoryChina
CityXi'an, Shaanxi
Period22/10/1325/10/13

Keywords

  • Array signal processing
  • derivative constrained
  • moving jammers
  • noncircular
  • robust beamforming

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