Systems Engineering and Electronics ›› 2019, Vol. 41 ›› Issue (5): 986-991.doi: 10.3969/j.issn.1001-506X.2019.05.08

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Transform domain based tensor algorithm for estimating DOA and polarization parameters of airborne array

ZHANG Xiaowen, LIAO Guisheng, YANG Zhiwei, YANG Chunxiao   

  1. National Laboratory of Radar Signal Processing, Xidian University, Xi’an 710071, China
  • Online:2019-04-30 Published:2019-04-26

Abstract:

When estimating parameters of multiple target echoes with strong ground clutter, the precision of the long vector multiple signal classification (LV-MUSIC) decreases, and the noise subspace projection matrix in tensor MUSIC (T-MUSIC) cannot be calculated because of the deficiency of the channel. Since then, a transform domain based tensor of MUSIC algorithm (T2-MUSIC) is proposed. The algorithm makes use of the tensor structure to separate signals in time domain and estimates parameters in each doppler channel. Compared with LV-MUSIC and T-MUSIC, the proposed algorithm can ensure resolvable target number on multiple targets condition with the loss of degree of freedom, while achieves a higher parameter estimation precision. The simulations exhibit the enhanced resolution ability of T2-MUSIC and the higher precision under the condition of low signal-to-noise ratio.

Key words: polarization sensitive array, estimation of direction of arrival (DOA), the estimation of polarization, tensor, multiple signal classification (MUSIC)

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