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Moving target localization in Multiple-input Multiple-output ra-dar systems without the prior knowledge of measurement noise powers
IEEE Communications Letters ( IF 3.7 ) Pub Date : 2020-09-01 , DOI: 10.1109/lcomm.2020.3001950
Ting Sun , Chun-Xi Dong , Yu Mao , Ming-Ming Liu

This letter investigates the problem of locating a moving target using bistatic range (BR) and bistatic range rate (BRR) measurements in multi-input and multi-output (MIMO) radar systems. The proposed estimator constructs two separate semidefinite programming (SDP) problems, in which both the BR and BRR measurement noise powers can be neglected. By utilizing the optimization toolbox, we efficiently solve the SDP problems and give the source position and velocity successively. Unlike the traditional techniques, the proposed method does not require the exact prior knowledge of the measurement noise powers. Simulation results validate the performance of the proposed method.

中文翻译:

多输入多输出雷达系统中的移动目标定位,无需测量噪声功率的先验知识

这封信研究了在多输入多输出 (MIMO) 雷达系统中使用双基地距离 (BR) 和双基地距离率 (BRR) 测量来定位移动目标的问题。所提出的估计器构造了两个单独的半定规划 (SDP) 问题,其中 BR 和 BRR 测量噪声功率都可以忽略。通过利用优化工具箱,我们有效地解决了 SDP 问题,并依次给出了源位置和速度。与传统技术不同,所提出的方法不需要测量噪声功率的确切先验知识。仿真结果验证了所提出方法的性能。
更新日期:2020-09-01
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