Two Dimensional DOA Estimation Based on Polarization Sensitive Array and Uniform Linear Array

Lutao LIU; Chuanyu WANG

doi:10.11999/JEIT180832

Volume 41 Issue 10

Oct. 2019

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Lutao LIU, Chuanyu WANG. Two Dimensional DOA Estimation Based on Polarization Sensitive Array and Uniform Linear Array[J]. Journal of Electronics & Information Technology, 2019, 41(10): 2350-2357. doi: 10.11999/JEIT180832

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Lutao LIU, Chuanyu WANG. Two Dimensional DOA Estimation Based on Polarization Sensitive Array and Uniform Linear Array[J]. Journal of Electronics & Information Technology, 2019, 41(10): 2350-2357. doi: 10.11999/JEIT180832

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Two Dimensional DOA Estimation Based on Polarization Sensitive Array and Uniform Linear Array

doi: 10.11999/JEIT180832

Lutao LIU^,,
Chuanyu WANG

College of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, China

Funds: The National Natural Science Foundation of China (61571146), The Fundamental Research Funds for the Central Universities (HEUCFP201769)

Received Date: 2018-08-24
Rev Recd Date: 2019-02-12

Available Online: 2019-03-13

Publish Date: 2019-10-01

Abstract

Abstract

To solve the problem that polarization sensitive array of defective electromagnetic vector sensor estimate multi parameter, a two-dimensional DOA estimation algorithm based on orthogonal dipole is proposed in this paper. First, eigendecomposition of the covariance matrix is produced by the received data vectors of the polarization sensitive array. Then the signal subspace is divided into four subarrays, and the phase difference between one of the subarray and the others is obtained according to the ESPRIT algorithm. Then the phase difference between different subarrays is paired. Finally, the DOA estimation and polarization parameters of the signal are calculated according to the phase difference. The uniform linear array composed by orthogonal dipoles can not be two-dimensional DOA estimated by using the MUSIC algorithm and the traditional ESPRIT algorithm. The algorithm proposed in this paper solves this problem, and compared with the polarization MUISC algorithm greatly reduces the complexity of the algorithm. The simulation results verify the effectiveness of the proposed algorithm.
- Signal processing,
- Direction Of Arrival (DOA) estimation,
- Polarization sensitive array,
- Orthogonal dipole,
- Uniform linear array

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References(16)

References

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