Direction of arrival estimation using modified orthogonal matching pursuit algorithm

Gui Guan, Quns Wan, Fumiyuki Adachi

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)

Abstract

Direction of arrival (DOA) estimation is a sparse reconstruction problem. However, conventional orthogonal matching pursuit (OMP) may fail to identify the correct atoms since the redundant dictionary composed of the direction vectors is highly coherent. To mitigate the coherence problem, in this paper, we propose a modified OMP by constructing data dependent sensing dictionary for sparse reconstruction in the noisy case. Simulation results are presented to demonstrate the superior performance of the proposed algorithm for DOA estimation.

Original languageEnglish
Pages (from-to)5230-5234
Number of pages5
JournalInternational Journal of Physical Sciences
Volume6
Issue number22
Publication statusPublished - 2011 Oct 2

Keywords

  • Direction of arrival (DOA) estimation
  • Orthogonal matching pursuit (OMP)
  • Redundant dictionary
  • Sensing dictionary
  • Sparse reconstruction

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Physics and Astronomy(all)

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