Moving Target Localization in Multiple-Input Multiple-Output Radar Systems Without the Prior Knowledge of Measurement Noise Powers

被引:18
作者
Sun, Ting [1 ]
Dong, Chun-Xi [1 ]
Mao, Yu [1 ]
Liu, Ming-Ming [1 ]
机构
[1] Xidian Univ, Sch Elect Engn, Xian 710071, Peoples R China
关键词
Noise measurement; MIMO radar; Covariance matrices; MIMO communication; Convex functions; Optimization; Estimation; Moving target; multi-input and multi-output (MIMO) radar; semidefinite programming (SDP); measurement noise power; DISTRIBUTED MIMO RADAR; ALGEBRAIC-SOLUTION; ESTIMATOR;
D O I
10.1109/LCOMM.2020.3001950
中图分类号
TN [电子技术、通信技术];
学科分类号
0809 ;
摘要
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.
引用
收藏
页码:1957 / 1960
页数:4
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