Direction-Sensitive Fast Measurement of Sub-Sampling-Period Delays

J. Healy, M. Wan, J. Sheridan
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引用次数: 2

Abstract

Estimation of the delay between two signals has physical significance in synchronisation problems in, e.g. telecommunications, measurement of motion and vibration, and image registration. Low complexity algorithms can be performed extremely quickly even on limited hardware, and have improved energy consumption over more complex algorithms. We present a partial Fourier analysis of a previously reported algorithm to estimate the magnitude of the delay; the algorithm is the sum of absolute differences. The analysis offers insight into why the algorithm requires the absolute value operation. The algorithm is insensitive to direction of the delay, but the same analysis demonstrates that new approaches are possible to find the signed magnitude of the delay. Arising from that analysis, we propose one such algorithm, and demonstrate its efficacy in simulation, along with its robustness to additive and quantization noise. Our algorithm could be useful in a very wide range of applications, including image stitching, measurement of vibrations in buildings, and synchronisation problems in telecommunications.
子采样周期时延的方向敏感快速测量
估计两个信号之间的延迟在通信、运动和振动测量以及图像配准等同步问题中具有物理意义。即使在有限的硬件上,低复杂度算法也可以非常快地执行,并且比更复杂的算法节省了能源消耗。我们提出了先前报道的算法的部分傅立叶分析来估计延迟的大小;算法是绝对差的和。分析提供了洞察为什么算法需要绝对值操作。该算法对延迟的方向不敏感,但同样的分析表明,新的方法可以找到延迟的有符号大小。基于这一分析,我们提出了一种这样的算法,并在仿真中证明了它的有效性,以及它对加性和量化噪声的鲁棒性。我们的算法可以在非常广泛的应用中使用,包括图像拼接、建筑物振动测量和电信中的同步问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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