A general superdirectivity model for arbitrary sensor arrays

Yong Wang, Yixin Yang, Zhengyao He, Yina Han, Yuanliang Ma

Research output: Contribution to journalArticlepeer-review

14 Scopus citations

Abstract

This paper proposes a general model of superdirectivity to provide analytical and closed-form solutions for arbitrary sensor arrays. Based on the equivalence between the maximum directivity factor and the maximum array gain in the isotropic noise field, Gram-Schmidt orthogonalization is introduced and recursively transformed into a matrix form to conduct pre-whitening and matching operations that result in superdirectivity solutions. A Gram-Schmidt mode-beam decomposition and synthesis method is then presented to formally implement these solutions. Illustrative examples for different arrays are provided to demonstrate the feasibility of this method, and a reduced rank technique is used to deal with the practical array design for robust beamforming and acceptable high-order superdirectivity. Experimental results that are provided for a linear array consisting of nine hydrophones show the good performance of the technique. A superdirective beampattern with a beamwidth of 48.05° in the endfire direction is typically achieved when the inter-sensor spacing is only 0.09λ (λ is the wavelength), and the directivity index is up to 12 dB, which outperforms that of the conventional delay-and-sum counterpart by 6 dB.

Original languageEnglish
Article number68
JournalEurasip Journal on Advances in Signal Processing
Volume2015
Issue number1
DOIs
StatePublished - 6 Dec 2015

Keywords

  • Gram-Schmidt orthogonalization
  • High-order superdirectivity
  • Mode-beam decomposition and synthesis
  • Optimal beamforming
  • Sonar signal processing

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