New parameter estimation algorithm for near-field sources

Jun Li Liang, Bang Jie Ji, Feng Zhao, Jun Ying Zhang

Research output: Contribution to journalArticlepeer-review

Abstract

This paper proposes a new subspace-based algorithm to jointly estimate the frequencies, directions of arrival (DOAs), and ranges of multiple near-field narrow-band sources. Firstly, the proposed method constructs four cumulant matrices by virtue of the fourth-order cumulants of some properly chosen sensor outputs; secondly, by using the above-mentioned four matrices, it forms three new ones, from whose eigenvalues the source parameters can be easily obtained. In comparison with some available cumulant-based methods, the proposed algorithm can make efficient use of the array aperture, and thus has a higher estimation accuracy. Simulation results also show that the proposed method is of such performance.

Original languageEnglish
Pages (from-to)839-843
Number of pages5
JournalXi'an Dianzi Keji Daxue Xuebao/Journal of Xidian University
Volume34
Issue number5
StatePublished - Oct 2007

Keywords

  • Array signal processing
  • Cumulant
  • Near-field source localization
  • Subspace

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