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Closed-Form Localization Method for Moving Target in Passive Multistatic Radar Network

机译:用于移动多晶雷达网络中的目标的闭合形式定位方法

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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 Cramer-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.
机译:利用从时间延迟差和多普勒偏移差获得的双基辅范围(BRR)和双晶的范围速率(BRR),移动目标可以用无源多蓄能雷达(PMR)网络定位。 本文介绍了PMR中目标定位的两级闭合方法。 与传统的两阶段加权最小二乘(TSWLS)方法不同,所提出的方法采用加权球形插值方法在第一阶段中获得初始估计,并在第二阶段中的偏差细化降低初始估计中的误差 。 通过均方误差(MSE)的理论分析显示,在假设温和测量噪声下,所提出的方法接近Cramer-Rao下限(CRLB)精度。 仿真结果验证了分析结果。 还示出了所提出的方法,以达到相对较高的噪声水平目标速度估计的准确性改善。

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