A novel time delay estimation using chirp signals robust to sampling frequency offset for a ranging system

Dae Gun Oh; Sang Hoon Yoon; Jong Wha Chong

doi:10.1109/LCOMM.2010.05.091815

A novel time delay estimation using chirp signals robust to sampling frequency offset for a ranging system

Dae Gun Oh, Sang Hoon Yoon, Jong Wha Chong

Division of Intelligent Robot

Hanyang University

Research output: Contribution to journal › Article › peer-review

10 Scopus citations

Abstract

We propose a novel time delay estimation algorithm using a training and data sequence composed of chirp signals for a ranging system with frequency offset. This training and data sequence can be used for SNR enhancement using the proposed denoising method. Then, a subspace-based algorithm, ESPRIT, is applied to estimate the time delay of the first arrival path. We analyze the estimation performance of ESPRIT based on the proposed denoising method and verify it through Monte-carlo simulations in AWGN and a multi-path channel.

Original language	English
Article number	5456062
Pages (from-to)	450-452
Number of pages	3
Journal	IEEE Communications Letters
Volume	14
Issue number	5
DOIs	https://doi.org/10.1109/LCOMM.2010.05.091815
State	Published - May 2010

Bibliographical note

Funding Information:
ACKNOWLEDGMENT This research was supported by the MKE(Ministry of Konowledge Economy), Korea, under the ITRC(Information Technology Research Center) support program supervised by the IITA(Institute for Information Technology Advancement)" (IITA-2009-C1090-0902-0019)

Keywords

Chirp
Frequency offset
Time delay estimation

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10.1109/LCOMM.2010.05.091815

Cite this

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abstract = "We propose a novel time delay estimation algorithm using a training and data sequence composed of chirp signals for a ranging system with frequency offset. This training and data sequence can be used for SNR enhancement using the proposed denoising method. Then, a subspace-based algorithm, ESPRIT, is applied to estimate the time delay of the first arrival path. We analyze the estimation performance of ESPRIT based on the proposed denoising method and verify it through Monte-carlo simulations in AWGN and a multi-path channel.",

keywords = "Chirp, Frequency offset, Time delay estimation",

author = "Oh, {Dae Gun} and Yoon, {Sang Hoon} and Chong, {Jong Wha}",

note = "Funding Information: ACKNOWLEDGMENT This research was supported by the MKE(Ministry of Konowledge Economy), Korea, under the ITRC(Information Technology Research Center) support program supervised by the IITA(Institute for Information Technology Advancement)" (IITA-2009-C1090-0902-0019)",

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AU - Chong, Jong Wha

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N2 - We propose a novel time delay estimation algorithm using a training and data sequence composed of chirp signals for a ranging system with frequency offset. This training and data sequence can be used for SNR enhancement using the proposed denoising method. Then, a subspace-based algorithm, ESPRIT, is applied to estimate the time delay of the first arrival path. We analyze the estimation performance of ESPRIT based on the proposed denoising method and verify it through Monte-carlo simulations in AWGN and a multi-path channel.

AB - We propose a novel time delay estimation algorithm using a training and data sequence composed of chirp signals for a ranging system with frequency offset. This training and data sequence can be used for SNR enhancement using the proposed denoising method. Then, a subspace-based algorithm, ESPRIT, is applied to estimate the time delay of the first arrival path. We analyze the estimation performance of ESPRIT based on the proposed denoising method and verify it through Monte-carlo simulations in AWGN and a multi-path channel.

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JF - IEEE Communications Letters

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ER -

A novel time delay estimation using chirp signals robust to sampling frequency offset for a ranging system

Abstract

Bibliographical note

Keywords

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