Joint frequency, 2-d DOA, and polarization estimation using parallel factor analysis

Jun Li Liang, Ding Liu, Jun Ying Zhang

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

Abstract

This paper proposes a new algorithm for joint frequency, two-dimensional (2-D) directions-of-arrival (DOA), and polarization estimation using parallel factor (PARAFAC) analysis model and cumulant. The proposed algorithm designs a new array configuration, and extends the PARAFAC analysis model from the common data-domain and subspace-domain to the cumulant one, and forms three-way arrays by using the three cumulant matrices obtained from the properly chosen dipole outputs, and analyzes the uniqueness of low-rank decomposition of the three-way arrays, and then jointly estimates the source parameters via the low-rank decomposition of the constructed PARAFAC model. In comparison with the conventional methods, the proposed method alleviates the aperture loss, and avoids pairing parameter. Finally, the simulation results are presented to validate the performance of the proposed method.

Original languageEnglish
Pages (from-to)1891-1904
Number of pages14
JournalScience in China, Series F: Information Sciences
Volume52
Issue number10
DOIs
StatePublished - 2009
Externally publishedYes

Keywords

  • Array signal processing
  • Cumulant
  • Parallel factor analysis
  • Polarization sensitive array

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