Utilizing the bistatic range (BR) and bistatic range rate (BRR) obtained from time delay difference and Doppler shift difference, a moving target can be localized with the passive multistatic radar (PMR) network. This paper presents a two-stage closed-form method for target localization in PMR. Different from the conventional two-stage weighted least squares (TSWLS) methods, the proposed method employs the weighted spherical-interpolation method to obtain an initial estimate in the first stage and reduces the error in the initial estimate with the deviation refinement in the second stage. Theoretical analysis through mean-square error (MSE) shows the proposed method approaches the Cramér-Rao lower bound (CRLB) accuracy under the assumption of mild measurement noises. Simulation results validate the analytical results. The proposed method is also shown to achieve the accuracy improvement in target velocity estimate at relatively higher noise levels.

中文翻译：

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无源多基地雷达网络中运动目标的闭式定位方法

利用从时延差和多普勒频移差获得的双基地距离（BR）和双基地距离率（BRR），可以通过无源多基地雷达（PMR）网络定位运动目标。本文提出了一种用于 PMR 中目标定位的两阶段闭式方法。与传统的两阶段加权最小二乘法（TSWLS）不同，该方法在第一阶段采用加权球面插值法获得初始估计值，并在第二阶段通过偏差细化减少初始估计值的误差。 . 通过均方误差 (MSE) 的理论分析表明，在轻度测量噪声的假设下，所提出的方法接近 Cramér-Rao 下限 (CRLB) 精度。仿真结果验证了分析结果。