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SHI C P,HE H F,HE Y M,et al. Joint estimation of DOA and polarization parameters based on uniform circle array with vector sensor[J]. Journal of Beijing University of Aeronautics and Astronautics,2024,50(4):1325-1335 (in Chinese) doi: 10.13700/j.bh.1001-5965.2022.0390
Citation: SHI C P,HE H F,HE Y M,et al. Joint estimation of DOA and polarization parameters based on uniform circle array with vector sensor[J]. Journal of Beijing University of Aeronautics and Astronautics,2024,50(4):1325-1335 (in Chinese) doi: 10.13700/j.bh.1001-5965.2022.0390

Joint estimation of DOA and polarization parameters based on uniform circle array with vector sensor

doi: 10.13700/j.bh.1001-5965.2022.0390
Funds:  National Natural Science Foundation of China (61573366)
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  • Corresponding author: E-mail:hhf0903@163.com
  • Received Date: 19 May 2022
  • Accepted Date: 19 Aug 2022
  • Available Online: 23 Sep 2022
  • Publish Date: 14 Sep 2022
  • To address the problem of multi-parameter joint estimation of incomplete electromagnetic vector sensors in the polarization sensitive array, a joint estimation method of Direction of Arrival (DOA) and polarization parameters is proposed based on a circle array model of the three-dimensional electromagnetic vector sensor plane. Using the characteristics of the array flow pattern matrix, a four-dimensional spectral function is decoupled, and the uncorrelation between DOA search and polarization parameter estimation is rigorously proved. A four-dimensional spectral search is optimized to a two-dimensional spectral search only related to DOA. A two-level comparison strategy of the DOA spectral peak search is proposed, which enables the radar to automatically identify the spectral peak coordinates and effectively improve the real-time performance of signal processing. The improved particle swarm optimization algorithm based on elite reverse learning and Lévy flight is proposed to estimate the polarization parameters, which improves the convergence performance of polarization parameters. The simulation results show that the proposed algorithm improves the estimation accuracy at the expense of a small amount of time.

     

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