Underdetermined DOA estimation of quasi-stationary signals via Khatri-Rao structure for uniform circular array

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

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Author(s)

  • Ming-Yang Cao
  • Lei Huang
  • Cheng Qian
  • Jia-Yin Xue
  • H. C. So

Related Research Unit(s)

Detail(s)

Original languageEnglish
Pages (from-to)41-48
Journal / PublicationSignal Processing
Volume106
Online published24 Jun 2014
Publication statusPublished - Jan 2015

Abstract

Underdetermined direction-of-arrival (DOA) estimation for quasi-stationary signals impinging on a uniform circular array (UCA) with M sensors is addressed in this paper. We apply the Khatri-Rao (KR) approach to the UCA and obtain a new signal model which is capable of providing O(M2) sensors. Meanwhile, the virtual steering matrix can be decomposed into a product of characteristic matrix depending on the array structure and a Vandermonde matrix bearing the DOA information. The exact number of virtual sensors that the KR-UCA model is able to provide is studied as well. Simulation results are included to demonstrate the effectiveness of the proposed method. © 2014 Elsevier B.V.

Research Area(s)

  • Khatri-Rao subspace approach, Manifold separation technique, Quasi-stationary signal, Underdetermined estimation, Uniform circular array