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

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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.

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Authors and Affiliations

  1. School of Computer Science and Engineering, Xi’an University of Technology, Xi’an, 710048, China

    JunLi Liang

  2. School of Automation and Information Engineering, Xi’an University of Technology, Xi’an, 710048, China

    JunLi Liang & Ding Liu

  3. School of Computer, Xidian University, Xi’an, 710071, China

    JunYing Zhang

Authors
  1. JunLi Liang
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  2. Ding Liu
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  3. JunYing Zhang
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Correspondence to JunLi Liang.

Additional information

Supported by the National Natural Science Foundation of China (Grant No. 60901059/F0103), the Educational Department Foundations of Shaanxi Province (Grant No. 09JK629), and the Doctor Research Start Fund of Xi’an University of Technology (Grant No. 116-210903)

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Liang, J., Liu, D. & Zhang, J. Joint frequency, 2-D DOA, and polarization estimation using parallel factor analysis. Sci. China Ser. F-Inf. Sci. 52, 1891–1904 (2009). https://doi.org/10.1007/s11432-009-0171-0

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  • DOI: https://doi.org/10.1007/s11432-009-0171-0

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