Multi-target DOA Estimation Using Beam-Doppler Unitary ESPRIT

WEN Cai; WU Jianxin; WANG Tong; ZHOU Yan; PENG Jinye

doi:10.11999/JEIT170707

Volume 40 Issue 5

May 2018

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Article Navigation > Journal of Electronics & Information Technology > 2018 > 40(5): 1136-1143

WEN Cai, WU Jianxin, WANG Tong, ZHOU Yan, PENG Jinye. Multi-target DOA Estimation Using Beam-Doppler Unitary ESPRIT[J]. Journal of Electronics & Information Technology, 2018, 40(5): 1136-1143. doi: 10.11999/JEIT170707

Citation:

WEN Cai, WU Jianxin, WANG Tong, ZHOU Yan, PENG Jinye. Multi-target DOA Estimation Using Beam-Doppler Unitary ESPRIT[J]. Journal of Electronics & Information Technology, 2018, 40(5): 1136-1143. doi: 10.11999/JEIT170707

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Multi-target DOA Estimation Using Beam-Doppler Unitary ESPRIT

doi: 10.11999/JEIT170707

Funds:

The National Natural Science Foundation of China (61471285, 61371233), The Scientific Research Plan of Education Department of Shanxi Province (17JK0789)

Received Date: 2017-07-19
Rev Recd Date: 2018-01-03
Publish Date: 2018-05-19

Abstract

Abstract

High-resolution Direction Of Arrival (DOA) estimation is a critical issue for mainbeam multi-target tracking in ground-based or airborne early warning radar system. A Beam-Doppler Unitary ESPRIT (BD- UESPRIT) algorithm is proposed to deal with this problem. Firstly, multiple snapshots without spatial aperture loss are obtained using the technique of time-smoothing. Then the conjugate centrosymmetric Discrete Fourier Transform (DFT) matrix is used to transform the extracted data into beam-Doppler domain. Finally, the rotational invariance property of the space-time beam is exploited to estimate DOA. Since the proposed algorithm takes full advantage of temporal information and is implemented in low-dimensional beamspace, the DOA estimation accuracy can be improved greatly with dramatically reduced computational complexity. Numerical examples are given to verify the effectiveness of the proposed algorithm.
- DOA estimation,
- Target tracking,
- Time-smoothing,
- Beamspace ESPRIT

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References(24)

References

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