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Target Localization using Least Squares Estimation for MIMO Radars with Widely Separated Antennas

机译:使用最小二乘估计的目标定位,用于具有广泛分离天线的MIMO雷达

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摘要

In the work presented here we explore the interest of target localization using multiple-input multiple-output (MIMO) radar systems with widely separated antennas. The time delays between every transmit/receive antenna are an integral part of target localization using MIMO radar systems. We assume that these time delays have already been estimated by a preprocessing algorithm. Accordingly, we propose a target localization algorithm using the least squares estimation which has a closed form without requiring any initial condition. Simulation results evaluate the performance of the proposed method in comparison with the Cramer-Rao lower bound (CRLB) and the best linear unbiased estimator (BLUE) method. The effect of the arrangement and number of transmitters and receivers on the algorithm performance is also investigated.
机译:在本文介绍的工作中,我们探索了使用具有宽间隔天线的多输入多输出(MIMO)雷达系统进行目标定位的兴趣。每个发射/接收天线之间的时间延迟是使用MIMO雷达系统进行目标定位的重要组成部分。我们假设这些时间延迟已经通过预处理算法进行了估计。因此,我们提出了一种使用最小二乘估计的目标定位算法,该算法具有封闭形式,而无需任何初始条件。仿真结果与Cramer-Rao下界(CRLB)和最佳线性无偏估计器(BLUE)方法相比,评估了该方法的性能。还研究了发射器和接收器的布置和数量对算法性能的影响。

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