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Cramér–Rao bound analysis for joint target location and velocity estimation in frequency modulation based passive radar networks

机译:基于频率调制的无源雷达网络中联合目标位置和速度估计的Cramér-Rao界分析

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摘要

With the wide spread availability and the favourable Doppler resolution, the frequency modulation (FM) commercial radio signals have become attractive for passive radar applications. Passive radar networks using multiple illuminators of opportunity and multichannel receivers have been shown to offer significant performance improvement owing to their advantage of signal and spatial diversities. In this study, the authors compute the joint Cramér-Rao lower bound (CRLB) for the target parameter (delay and Doppler) estimation error utilising FM commercial radio signals as illuminators of opportunity for passive radar network systems, where the non-coherent and coherent processing scenarios are considered. The numerical simulations are provided to show that the joint CRLB is not only a function of the transmitted waveforms but also of the relative geometry between the target and the passive radar networks for both non-coherent and coherent cases. The expressions for joint CRLB are an important performance metric for target parameter estimation in FM-based passive radar networks.
机译:凭借广泛的可用性和良好的多普勒分辨率,频率调制(FM)商业无线电信号已成为无源雷达应用的诱人产品。由于具有信号和空间多样性的优势,使用机会照明器和多通道接收器的无源雷达网络已显示出显着的性能改进。在这项研究中,作者使用FM商业无线电信号作为无源雷达网络系统的机会照明器,计算了目标参数(延迟和多普勒)估计误差的联合Cramér-Rao下界(CRLB)。考虑处理场景。提供的数值模拟表明,对于非相干和相干情况,联合CRLB不仅是发射波形的函数,而且是目标和无源雷达网络之间的相对几何形状的函数。联合CRLB的表达式是基于FM的无源雷达网络中目标参数估计的重要性能指标。

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