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3D MCRLB Evaluation of a UMTS-Based Passive Multistatic Radar Operating in a Line-of-Sight Environment

机译:在视线环境下运行的基于UMTS的无源多基地雷达的3D MCRLB评估

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In this paper, the performance of a universal mobile telecommunication system (UMTS)-based passive multistatic radar in a line-of-sight (LoS) environment is studied. The presence of LoS component from the target considerably alters the received signal model, therefore, its characterization is necessary and is the main subject of this work where the transceivers and a target are localized in a three-dimensional Euclidean space. The probability density function (PDF) of the received signal in the presence of LoS is derived and the closed-form expressions of the modified Cramér–Rao lower bounds (MCRLBs) on the Euclidean coordinates of target's position and velocity are found. It is shown that modified Fisher information matrix (MFIM) is a combination of MFIMs due to non-LoS (NLoS) components and LoS component. With the aid of numerical examples, it is verified that by exploiting LoS, the target radar cross section (RCS) increases, which improves the accuracy of target's detection and parameter estimation. In addition, it is also shown that by exploiting LoS component, the performance limits of a waveform can be determined for a generalized radar cross section model (GRCSM), which provides the characterization of a waveform for a broader range of radar applications.
机译:本文研究了在视距(LoS)环境中基于通用移动电信系统(UMTS)的无源多基地雷达的性能。来自目标的LoS分量的存在会大大改变接收信号模型,因此,对其进行表征是必要的,并且是收发器和目标位于三维欧几里德空间中的这项工作的主要主题。在存在视距的情况下,得出接收信号的概率密度函数(PDF),并找到目标位置和速度的欧几里得坐标上修正的Cramér-Rao下界(MCRLB)的闭式表达式。结果表明,修正的Fisher信息矩阵(MFIM)是MFIM的组合,归因于非LoS(NLoS)组件和LoS组件。借助数值例子,验证了通过利用视距,目标雷达截面(RCS)增加,从而提高了目标检测和参数估计的准确性。此外,还显示出通过利用LoS组件,可以为通用雷达横截面模型(GRCSM)确定波形的性能极限,该模型为更广泛的雷达应用提供了波形表征。

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