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Performance analysis of time of arrival estimation on OFDM signals

机译:OFDM信号到达时间估计的性能分析

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摘要

This letter characterizes the error performance of realistically modelled orthogonal frequency division multiplexing (OFDM) signals, when their time of arrival has to be estimated in an additive white Gaussian noise channel. In particular, different power distributions on the available sub-carriers of the OFDM signal are considered, and bounds on the corresponding root mean square estimation error (RMSEE) are evaluated. The tools used for such purpose are the widely adopted Cramér-Rao bound and the Ziv-Zakai bound, which is tight in a wide range of signal-to-noise ratio (SNR) values. The presented analysis reveals that, for a given signal bandwidth, a proper power distribution on the OFDM sub-carriers is crucial for achieving a good performance in the low to medium SNR region, where the RMSEE curve exhibits the typical threshold behavior. Moreover, a trade-off between asymptotic and threshold performance is identified, thanks to the adoption of a novel performance figure, which directly describes the threshold RMSEE behavior.
机译:当必须在加性白高斯噪声信道中估计其到达时间时,该字母表示逼真的建模正交频分复用(OFDM)信号的误码性能。特别地,考虑了OFDM信号的可用子载波上的不同功率分布,并且评估了相应的均方根估计误差(RMSEE)上的界限。用于此目的的工具是被广泛采用的Cramér-Rao边界和Ziv-Zakai边界,它们在很宽的信噪比(SNR)值范围内都很严格。提出的分析表明,对于给定的信号带宽,OFDM子载波上的正确功率分布对于在低到中等的SNR区域(RMSEE曲线表现出典型的阈值行为)实现良好性能至关重要。此外,由于采用了一个新颖的性能指标,该指标直接描述了阈值RMSEE行为,因此可以确定渐近性能和阈值性能之间的权衡。

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