Explicitly-Adaptive Time Delay Estimation for Wide-Band Signals

Doh-Hyoung KIM; Youngjin PARK

doi:10.1093/ietfec/e88-a.11.3214

Explicitly-Adaptive Time Delay Estimation for Wide-Band Signals

Doh-Hyoung KIM, Youngjin PARK

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A new method of explicitly adaptive time delay estimation (EATDE) algorithm is proposed for estimating a varying time delay parameter. The proposed method is based on the Haar wavelet transform of cross-correlations. The proposed algorithm can be viewed as a gradient-based optimization of lowpass filtered cross-correlations, but requires less computational power. The algorithm shows a global convergence property for wide-band signals with uncorrelated noises. A convergence analysis including mean behavior, mean-square-error behavior, and steady-state error of delay estimate is given. Simulation results are also provided to demonstrate the performance of the proposed algorithm.

Publication: IEICE TRANSACTIONS on Fundamentals Vol.E88-A No.11 pp.3214-3217

Publication Date: 2005/11/01

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Online ISSN

DOI: 10.1093/ietfec/e88-a.11.3214

Type of Manuscript: LETTER

Category: Engineering Acoustics

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Doh-Hyoung KIM, Youngjin PARK, "Explicitly-Adaptive Time Delay Estimation for Wide-Band Signals" in IEICE TRANSACTIONS on Fundamentals, vol. E88-A, no. 11, pp. 3214-3217, November 2005, doi: 10.1093/ietfec/e88-a.11.3214.
Abstract: A new method of explicitly adaptive time delay estimation (EATDE) algorithm is proposed for estimating a varying time delay parameter. The proposed method is based on the Haar wavelet transform of cross-correlations. The proposed algorithm can be viewed as a gradient-based optimization of lowpass filtered cross-correlations, but requires less computational power. The algorithm shows a global convergence property for wide-band signals with uncorrelated noises. A convergence analysis including mean behavior, mean-square-error behavior, and steady-state error of delay estimate is given. Simulation results are also provided to demonstrate the performance of the proposed algorithm.
URL: https://globals.ieice.org/en_transactions/fundamentals/10.1093/ietfec/e88-a.11.3214/_p

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@ARTICLE{e88-a_11_3214,
author={Doh-Hyoung KIM, Youngjin PARK, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Explicitly-Adaptive Time Delay Estimation for Wide-Band Signals},
year={2005},
volume={E88-A},
number={11},
pages={3214-3217},
abstract={A new method of explicitly adaptive time delay estimation (EATDE) algorithm is proposed for estimating a varying time delay parameter. The proposed method is based on the Haar wavelet transform of cross-correlations. The proposed algorithm can be viewed as a gradient-based optimization of lowpass filtered cross-correlations, but requires less computational power. The algorithm shows a global convergence property for wide-band signals with uncorrelated noises. A convergence analysis including mean behavior, mean-square-error behavior, and steady-state error of delay estimate is given. Simulation results are also provided to demonstrate the performance of the proposed algorithm.},
keywords={},
doi={10.1093/ietfec/e88-a.11.3214},
ISSN={},
month={November},}

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TY - JOUR
TI - Explicitly-Adaptive Time Delay Estimation for Wide-Band Signals
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 3214
EP - 3217
AU - Doh-Hyoung KIM
AU - Youngjin PARK
PY - 2005
DO - 10.1093/ietfec/e88-a.11.3214
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E88-A
IS - 11
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - November 2005
AB - A new method of explicitly adaptive time delay estimation (EATDE) algorithm is proposed for estimating a varying time delay parameter. The proposed method is based on the Haar wavelet transform of cross-correlations. The proposed algorithm can be viewed as a gradient-based optimization of lowpass filtered cross-correlations, but requires less computational power. The algorithm shows a global convergence property for wide-band signals with uncorrelated noises. A convergence analysis including mean behavior, mean-square-error behavior, and steady-state error of delay estimate is given. Simulation results are also provided to demonstrate the performance of the proposed algorithm.
ER -