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CLC number: TN911
On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
Crosschecked: 2016-09-20
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An enhanced mixed modulated Lagrange explicit time delay estimator with noisy input
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Wei Xia, Ju-lei Zhu, Wen-ying Jiang, Ling-feng Zhu. An enhanced mixed modulated Lagrange explicit time delay estimator with noisy input[J]. Frontiers of Information Technology & Electronic Engineering, 2016, 17(10): 1067-1073.
@article{title="An enhanced mixed modulated Lagrange explicit time delay estimator with noisy input",
author="Wei Xia, Ju-lei Zhu, Wen-ying Jiang, Ling-feng Zhu",
journal="Frontiers of Information Technology & Electronic Engineering",
volume="17",
number="10",
pages="1067-1073",
year="2016",
publisher="Zhejiang University Press & Springer",
doi="10.1631/FITEE.1500417"
}
%0 Journal Article
%T An enhanced mixed modulated Lagrange explicit time delay estimator with noisy input
%A Wei Xia
%A Ju-lei Zhu
%A Wen-ying Jiang
%A Ling-feng Zhu
%J Frontiers of Information Technology & Electronic Engineering
%V 17
%N 10
%P 1067-1073
%@ 2095-9184
%D 2016
%I Zhejiang University Press & Springer
%DOI 10.1631/FITEE.1500417
TY - JOUR
T1 - An enhanced mixed modulated Lagrange explicit time delay estimator with noisy input
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A1 - Ju-lei Zhu
A1 - Wen-ying Jiang
A1 - Ling-feng Zhu
J0 - Frontiers of Information Technology & Electronic Engineering
VL - 17
IS - 10
SP - 1067
EP - 1073
%@ 2095-9184
Y1 - 2016
PB - Zhejiang University Press & Springer
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DOI - 10.1631/FITEE.1500417
Abstract: The mixed modulated Lagrange explicit time delay estimation (MMLETDE) algorithm provides an efficient time delay estimation between narrowband or sinusoidal signals. However, it does not explicitly consider the additive measurement noise at the input, which actually exists in practice. Aiming at this issue, an enhanced MMLETDE algorithm is proposed for noisy inputs based on the unbiased impulse response estimation technique, assuming that the noise power ratio is known {a priori}. Simulation results show that for narrowband signals or sinusoids over a wide frequency range, the proposed algorithm with a small filter order performs well in moderate and high noise scenarios.
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