基于改进型自适应非对称联合对角化双基地MIMO雷达多目标跟踪算法研究

张正言; 张剑云

doi:10.11999/JEIT170247

基于改进型自适应非对称联合对角化双基地MIMO雷达多目标跟踪算法研究

doi: 10.11999/JEIT170247

张正言¹,
张剑云¹

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- 被引次数: 0
出版历程
- 收稿日期: 2017-03-19
- 修回日期: 2017-10-01
- 刊出日期: 2017-12-19

Study on Multi-target Tracking Algorithm of Bistatic MIMO Radar Based on Improved Adaptive Asymmetric Joint Diagonalization

ZHANG Zhengyan¹,
ZHANG Jianyun¹

摘要

摘要: 针对双基地MIMO雷达自适应非对称联合对角化(AAJD)跟踪算法性能低的问题，该文提出一种改进AAJD双基地MIMO雷达多目标跟踪算法。AAJD算法角度估计时重复利用上一时刻的角度信息，导致跟踪性能的下降。通过证明AAJD算法求出的特征矢量每一列都对应着一个目标，改进AAJD算法直接求解目标的收发角度，提高了跟踪性能，更加适用于大机动目标跟踪，并对ESPRIT算法进行改进，实现了目标角度的自动配对与关联。仿真结果表明改进AAJD算法跟踪性能高于AAJD算法，特别是跟踪大机动目标时改进AAJD算法性能更优，验证了理论分析的有效性。
- 双基地MIMO雷达 /
- 角度跟踪 /
- 自适应非对称联合对角化 /
- 大机动目标 /
- 低复杂度
Abstract: In order to solve the problem of low tracking performance for bistatic MIMO radar based on Adaptive Asymmetric Joint Diagonalization (AAJD) algorithm, an improved multi-target tracking method is proposed. The reason for the low tracking performance of AAJD algorithm is that the estimated angle of the previous time is reused for angle estimation. It is proved that each eigenvectors of the AAJD algorithm corresponds to a target. Improved AAJD algorithm can estimate the DOD and DOA directly, which improves tracking performance and can solve high maneuvering target tracking problems. And 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 has higher tracking performance than AAJD algorithm, especially when the large maneuvering target is tracking. The efficiency of the proposed method is verified.
- Bistatic MIMO radar /
- Angle tracking /
- Adaptive Asymmetric Joint Diagonalization (AAJD) /
- High maneuvering target /
- Low complexity

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