Cramèr-Rao lower bounds for radar parameter estimation in noise plus structured interference

M. Masarik, N. Subotic
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引用次数: 8

Abstract

This document derives approximate expressions for the Cramèr-Rao lower bounds on the variance of unbiased estimates of the parameters of a narrow-band radar model in the presence of additive white Gaussian noise as well as interference with known structure. We show that the Cramèr-Rao lower bounds with interference are comprised of the bound when the interference is not present and a term that is proportional to the squared normalized-correlation between the radar signal and the interfering signal. Numerical simulations demonstrating these bounds are shown and the threshold effect is observed. The bounds are then used to define an objective function to be used for waveform co-design, and a simple example of this is shown.
噪声加结构干扰下雷达参数估计的cram r- rao下界
本文导出了存在加性高斯白噪声和已知结构干扰时窄带雷达模型参数无偏估计方差的cram - rao下界的近似表达式。我们表明,有干扰的cram -饶下界由干扰不存在时的界和一个与雷达信号和干扰信号之间的归一化相关的平方成比例的项组成。数值模拟显示了这些边界,并观察到了阈值效应。然后使用边界来定义用于波形协同设计的目标函数,并给出了一个简单的示例。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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