任意频谱信号时延估计的性能分析

H. Messer, S. Tsruya
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引用次数: 3

摘要

无源时延估计(TDE)的基本局限性很好地理解的情况下,高斯,平稳单一源的已知,平坦的频谱。作者给出了有关信号源谱可实现估计性能灵敏度的结果。将Barankin界应用于多维参数估计问题,导出了未知谱级宽带源时延估计误差的下界表达式。他们表明,当假设较大的估计误差(低于阈值)时,估计性能不再对源光谱的先验知识不敏感。然而,在大多数实际情况下,由于缺乏源光谱参数的先验知识,TDE的性能下降很小。然而,在给定信噪比下可实现的估计性能在很大程度上取决于源频谱的形状。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Performance analysis of time delay estimation of a signal with arbitrary spectrum
The fundamental limitations of passive time delay estimation (TDE) are well understood for the case of a Gaussian, stationary single source of known, flat spectrum. The authors present results concerning the sensitivity of the achievable estimation performance of the signal source spectra. By applying the Barankin bound to the multi-dimensional parameter estimation problem, they derive an expression for a lower bound on the time delay estimation error of a broadband source with unknown spectral levels. They show that, when large estimation errors are assumed (below the threshold), the estimation performance is no longer insensitive to prior knowledge of the source spectra. However, in most practical situations the degradation in the performance of the TDE due to the lack of prior knowledge of the source spectral parameters is small. Nevertheless, the achievable estimation performance at a given signal-to-noise ratio depends strongly on the shape of the source spectrum.<>
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