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Dimension Feature-based Two-dimensional DOA and Polarization Estimation with a Polarization Sensitive Array
Received date: 2015-04-02
Online published: 2025-05-30
Joint estimation of DOA and polarization with a polarization sensitive array has the shortcoming of high computational complexity. In order to solve this problem, a direction of arrival (DOA) and polarization joint estimation algorithm based on dimension feature of the noise-subspace using polarization sensitive array was proposed. Approximation of projection matrix was obtained for construction of spectrum function by dimension feature of noise subspace, which reduces computational complexity of DOA and polarization joint estimation algorithm but also guarantees estimation performance. Ccomputational complexity of the algorithm was compared with that of long vector-based MUSIC algorithm. Finally, efficiency of the proposed algorithm was verified based on the simulation results.
WU Na , SI Weijian , JIAO Shuhong . Dimension Feature-based Two-dimensional DOA and Polarization Estimation with a Polarization Sensitive Array[J]. Journal of Projectiles, Rockets, Missiles and Guidance, 2016 , 36(2) : 134 -138 . DOI: 10.15892/j.cnki.djzdxb.2016.02.033
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