Fast Two-dimensional DOA Estimation for Coherently Distributed Noncircular Signals with Automatic Pairing

Weijia CUI; Zhengliang DAI; Daming WANG; Xiangzhi LI

doi:10.11999/JEIT171058

Volume 40 Issue 12

Nov. 2018

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Article Navigation > Journal of Electronics & Information Technology > 2018 > 40(12): 2881-2888

Weijia CUI, Zhengliang DAI, Daming WANG, Xiangzhi LI. Fast Two-dimensional DOA Estimation for Coherently Distributed Noncircular Signals with Automatic Pairing[J]. Journal of Electronics & Information Technology, 2018, 40(12): 2881-2888. doi: 10.11999/JEIT171058

Citation:

Weijia CUI, Zhengliang DAI, Daming WANG, Xiangzhi LI. Fast Two-dimensional DOA Estimation for Coherently Distributed Noncircular Signals with Automatic Pairing[J]. Journal of Electronics & Information Technology, 2018, 40(12): 2881-2888. doi: 10.11999/JEIT171058

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Fast Two-dimensional DOA Estimation for Coherently Distributed Noncircular Signals with Automatic Pairing

doi: 10.11999/JEIT171058

Institute of Information System Engineering, The PLA Information Engineering University, Zhengzhou 450001, China

Funds: The National Natural Science Foundation of China (61401513)

Received Date: 2017-11-14
Rev Recd Date: 2018-09-26

Available Online: 2018-10-16

Publish Date: 2018-12-01

Abstract

Abstract

In the two-dimensional Direction Of Arrival (DOA) estimation of coherently distributed noncircular sources, the problem of large complexity is caused by dimension expansion after exploiting noncircular property, meanwhile the existing low-complexity algorithms all require additional parameter pairing procedure. To solve these problems, a rapid DOA estimation algorithm with automatic pairing is proposed for coherently distributed noncircular sources based on cross-correlation propagator. The L-shaped array is considered. Firstly, the extended array manifold model is established by exploiting the noncircularity of the signal, and then it is proved that there are approximate rotational invariance relationships in the Generalized Steering Vectors (GSVs) of two subarrays of the L array. At the same time, the extra noise can be eliminated by the cross-correlation matrix of the array output signals. Finally, on the basis of the approximate rotational invariance relationships of the sub-arrays, the center azimuth and elevation DOAs can be obtained by propagator method. Theoretical analysis and simulation experiments show that without the spectrum searching and eigenvalue decomposition of the sample covariance matrix, the proposed algorithm has low computational complexity. Moreover, it can automatically pair the estimated central azimuth and central elevation DOAs. In addition, compared with the existing propagation method for coherently distributed noncircular sources, the proposed algorithm can achieve higher estimation accuracy with the small complexity cost.
- Array signal processing,
- Coherently distributed noncircular source,
- Cross-correlation propagator,
- Automatic pairing

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References(22)

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