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Model-based super-resolution time-delay estimation with sample rate consideration

机译：考虑采样率的基于模型的超分辨率时延估计

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摘要

Time delay estimation is of great significance in multipath propagation to recover overlapped signals and identify the channel characteristics. However, achieving a high accuracy in this purpose may pose many problems in ultra-wideband (UWB) applications. In UWB systems, capturing a signal with high sampling rates cannot readily be done; hence classical methods for time delay estimation substantially lose their precision. To overcome this challenge, the authors incorporate a robust estimation approach and supplementary sampling process in a unified algorithm to retrieve time delays from signals with low sampling rates. Toward that pursuit, a model based least squares estimator is proposed as the main approach to calculate time delays and a modified method based on multiple signal classification (MUSIC) is also presented for comparison aim. Then, the authors have developed the algorithm by embedding two additional pre-processing steps of under sampling and interpolation to achieve a higher sampling rate and a better resolution. To show the high accuracy of work, root mean square error is computed in different values of time delay. Simulation and experiment results show the considerably higher precision of the proposed algorithm in comparison with presented MUSIC type method and also previously proposed methods in literature.
机译：时延估计在多径传播中对恢复重叠信号和识别信道特性非常重要。但是，为此目的实现高精度可能会在超宽带（UWB）应用中带来许多问题。在UWB系统中，无法轻松完成以高采样率捕获信号的操作；因此，经典的时延估计方法实质上失去了其精度。为了克服这一挑战，作者在统一算法中结合了鲁棒的估计方法和补充采样过程，以从具有低采样率的信号中获取时间延迟。为此，提出了一种基于模型的最小二乘估计器作为计算时延的主要方法，并提出了一种基于多信号分类（MUSIC）的改进方法来进行比较。然后，作者通过嵌入欠采样和插值的两个附加预处理步骤来开发算法，以实现更高的采样率和更好的分辨率。为了显示出较高的工作准确性，在不同的时间延迟值中计算出均方根误差。仿真和实验结果表明，与提出的MUSIC类型方法和文献中先前提出的方法相比，该算法具有更高的精度。

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