Study on Multi-target Angle Tracking Algorithm of Bistatic MIMO Radar with Unknown Target Number

Zhengyan ZHANG; Jianyun ZHANG; Qingsong ZHOU

doi:10.11999/JEIT171174

Volume 40 Issue 10

Sep. 2018

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Article Navigation > Journal of Electronics & Information Technology > 2018 > 40(10): 2491-2497

Zhengyan ZHANG, Jianyun ZHANG, Qingsong ZHOU. Study on Multi-target Angle Tracking Algorithm of Bistatic MIMO Radar with Unknown Target Number[J]. Journal of Electronics & Information Technology, 2018, 40(10): 2491-2497. doi: 10.11999/JEIT171174

Citation:

Zhengyan ZHANG, Jianyun ZHANG, Qingsong ZHOU. Study on Multi-target Angle Tracking Algorithm of Bistatic MIMO Radar with Unknown Target Number[J]. Journal of Electronics & Information Technology, 2018, 40(10): 2491-2497. doi: 10.11999/JEIT171174

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Study on Multi-target Angle Tracking Algorithm of Bistatic MIMO Radar with Unknown Target Number

doi: 10.11999/JEIT171174

National University of Defense Technology, Hefei 230037, China

Funds: The National Natural Science Foundation of China (61671453, 61201379), The Natural Science Foundation of Anhui Province (1608085MF123)

Received Date: 2017-12-14
Rev Recd Date: 2018-06-20

Available Online: 2018-07-30

Publish Date: 2018-10-01

Abstract

Abstract

In order to solve the angle tracking problem of bistatic MIMO radar when the number of target is unknown, a joint tracking algorithm of the number of target and the angle is proposed. There is no variable in Adaptive Asymmetric Joint Diagonalization (AAJD) algorithm that can directly represent the eigenvalue. Therefore, the idea of principal component sequence estimation is introduced to the improved AAJD algorithm, and the eigenvalues are iteratively evaluated. Then, the number of target is estimated by using the improved information theory. Secondly, the anti-dithering algorithm of target number is proposed, which improves the robustness of the algorithm. Finally, the ESPRIT algorithm is improved to realize the automatic matching and association of DOD and DOA. The simulation results show that the improved AAJD algorithm can successfully track the number of target and angle trajectories. The efficiency of the proposed method is verified.
- Bistatic MIMO radar,
- Angle tracking,
- Target number tracking,
- Automatic matching and association

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References(18)

References

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