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Uni-Vector-Sensor Dimensionality Reduction MUSIC Algorithm for DOA and Polarization Estimation

Author

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  • Lanmei Wang
  • Le Yang
  • Guibao Wang
  • Zhihai Chen
  • Minggao Zou

Abstract

This paper addresses the problem of multiple signal classification- (MUSIC-) based direction of arrival (DOA) and polarization estimation and proposes a new dimensionality reduction MUSIC (DR-MUSIC) algorithm. Uni-vector-sensor MUSIC algorithm provides estimation for DOA and polarization; accordingly, a four-dimensional peak search is required, which hence incurs vast amount of computation. In the proposed DR-MUSIC method, the signal steering vector is expressed in the product form of arrival angle function matrix and polarization function vector. The MUSIC joint spectrum is converted to the form of Rayleigh-Ritz ratio by using the feature where the 2-norm of polarization function vector is constant. A four-dimensional MUSIC search reduced the dimension to two two-dimensional searches and the amount of computation is greatly decreased. The theoretical analysis and simulation results have verified the effectiveness of the proposed algorithm.

Suggested Citation

  • Lanmei Wang & Le Yang & Guibao Wang & Zhihai Chen & Minggao Zou, 2014. "Uni-Vector-Sensor Dimensionality Reduction MUSIC Algorithm for DOA and Polarization Estimation," Mathematical Problems in Engineering, Hindawi, vol. 2014, pages 1-9, November.
    • Handle: RePEc:hin:jnlmpe:682472
    DOI: 10.1155/2014/682472
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