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On the asymptotic analysis of Cramer-Rao bound for time delay estimation

机译:关于克拉米尔 - Rao束缚时间延迟估计的渐近分析

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Starting with the most elementary probability formula of the Fisher matrix for time delay estimation in radar signals, a rigorously asymptotic expression of the Fisher matrix for time delay, Doppler shift and its higher derivatives, joint estimation is derived by using the asymptotic equivalent property of the Toeplitz matrix and circulant matrix, and the spectrum characteristics of circulant matrices. The present result is more accurate than the commonly used one. A comparison between the two results shows that under certain conditions the agreement of the two results is seen to be excellent.
机译:从Fisher矩阵的最基本概率公式开始,用于雷达信号中的时间延迟估计,通过使用渐近等值的渐近等特性来源的捕获时间延迟,多普勒偏移及其更高衍生物的严格渐近表达。富含矩阵和循环矩阵,以及循环矩阵的频谱特征。目前的结果比常用的结果更准确。两种结果之间的比较表明,在某些条件下,两项结果的协议被认为是优秀的。

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