没有信息?低于阈值信噪比的延迟估计

R.D. Weaver
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引用次数: 1

摘要

本文对均方误差(MSE)作为最大似然延迟估计的主要性能度量的适用性提出了质疑。MSE偏离Crambound被视为偶然效应,而对名义估计与异常值的频率的了解导致更好的统计。仿真用于评估基于分组统计的信号延迟鲁棒采集的替代方案。该方案在信噪比远低于MSE阈值时收敛于正确的估计,并进入“无信息”区域。我的介绍。
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No Information? Delay Estimation Below the Threshold SNR
This paper questions the appropriateness of the mean squared error (MSE) as dominant performance metric for the maximum-likelihood delay estimator. The departure of the MSE from the Crambound is seen as an incidental effect, whereas knowledge of the frequencies of nominal estimates versus outliers leads to better statistics. Simulations are used to evaluate an alternative scheme for robust acquisition of signal delay, based upon binning statistics. This scheme converges on the correct estimate at signal-to-noise ratios that are well below the MSE threshold and into the "no information" region. I. INTRODUCTION
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