A superdirective beamforming method for linear sensor arrays

Yixin Yang, Yong Wang, Zhengyao He, Yuanliang Ma, Honglei Wang

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

2 Scopus citations

Abstract

A general superdirective beamforming method which is suitable for arbitrary-shape sensor arrays is proposed, and its performance for linear arrays is studied in this paper. Based on Gram-Schmidt orthogonalization, the optimal solutions of superdirectivity are all expressed in closed-form without any approximations. The optimal beampattern and the maximum directivity factor are decomposed into mode-beams and their associated directivity factors respectively. For linear arrays, the directivity factor of mode-beam increases as its order number increases, but the robustness decreases. Thus, the robust superdirective beampattern can be easily obtained by adopting a reduced-rank treatment which can remove the error sensitive high order modes and remain robust ones. Simulations and experimental results show the good performance of this approach.

Original languageEnglish
Title of host publicationOCEANS 2014 - TAIPEI
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479936465
DOIs
StatePublished - 20 Nov 2014
EventOCEANS 2014 MTS/IEEE Taipei Conference: Oceans Regeneration - Taipei, Taiwan, Province of China
Duration: 7 Apr 201410 Apr 2014

Publication series

NameOCEANS 2014 - TAIPEI

Conference

ConferenceOCEANS 2014 MTS/IEEE Taipei Conference: Oceans Regeneration
Country/TerritoryTaiwan, Province of China
CityTaipei
Period7/04/1410/04/14

Keywords

  • GramSchmidt orthogonalization
  • high-order superdirectivity
  • linear arrays
  • optimal beamforming
  • robustness

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