An Iteration-Based Variable Step-Size Algorithm for Joint Explicit Adaptation of Time Delay

Wang, Leiou; Wang, Donghui; Zheng, Feiyang; Chen, Hao

doi:10.1109/tcsii.2016.2634592

Cited by 4 publications

(1 citation statement)

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“…A variety of approaches to delay estimation exist, but one set of methods that have been particularly successful are based on adaptive filters [6]- [8]. The popularity of the adaptive filter approaches is down to two key attributes.…”

Section: Introductionmentioning

confidence: 99%

An Adaptive All-Pass Filter for Time-Varying Delay Estimation

Jelfs,

Sun,

Ghorbani

et al. 2021

Preprint

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The focus of this paper is the estimation of a delay between two signals. Such a problem is common in signal processing and particularly challenging when the delay is nonstationary in nature. Our proposed solution is based on an allpass filter framework comprising of two elements: a time delay is equivalent to all-pass filtering and an all-pass filter can be represented in terms of a ratio of a finite impulse response (FIR) filter and its time reversal. Using these elements, we propose an adaptive filtering algorithm with an LMS style update that estimates the FIR filter coefficients and the time delay. Specifically, at each time step, the algorithm updates the filter coefficients based on a gradient descent update and then extracts an estimate of the time delay from the filter. We validate our algorithm on synthetic data demonstrating that it is both accurate and capable of tracking time-varying delays.

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Section: Introductionmentioning

confidence: 99%