A novel near-field source localization algorithm without pairing parameters

Jun Li Liang, Shi Jun Wang, Li Gao, Shu Yuan Yang, Jun Ying Zhang

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

Abstract

This paper presents a localization algorithm for near-field narrowband sources in the additive white Gaussian noise environment Firstly, by use of three second-order statistics (SOS) matrices obtained from array outputs, a parallel factor (PARAFAC) analysis model is constructed in the SOS domain; secondly, the uniqueness of the model's low-rank decomposition is analyzed; thirdly, the range, the frequency, and the direction-of-arrival (DOA) of each source are estimated from the decomposed matrices of the model. The proposed method, which does not really require pairing parameters or searching spectral peaks, can be implemented efficiently. Finally, the simulation results are presented to validate the performance of the proposed method.

Original languageEnglish
Pages (from-to)1122-1127
Number of pages6
JournalTien Tzu Hsueh Pao/Acta Electronica Sinica
Volume35
Issue number6
StatePublished - Jun 2007
Externally publishedYes

Keywords

  • Array signal processing
  • Localization
  • Near field source
  • Parallel factor (PARAFAC) analysis
  • Second-order statistics (SOS)
  • Three-way array (TWA)

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