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

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

Research output: Contribution to journalArticlepeer-review

30 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)41-48
Number of pages8
JournalSignal Processing
Volume106
DOIs
StatePublished - Jan 2015

Keywords

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

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