Performance Evaluation of Acoustic Model-Based Blind Channel Estimation in Ocean Waveguides

Blind channel estimation (BCE) which does not require the knowledge of the source signals becomes increasingly important in various underwater acoustic applications. Unlike the conventional methods that utilize the statistical properties of the received signals, this paper proposes an acoustic model...

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Main Authors:	Wei Feng, Jianlong Li, T. C. Yang, Lan Zhang
Format:	Article
Language:	English
Published:	IEEE 2018-01-01
Series:	IEEE Access
Subjects:	Acoustic signal processing channel estimation channel models deconvolution
Online Access:	https://ieeexplore.ieee.org/document/8344751/

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spelling	doaj-281a755d2a174980ad991c8414d904fa2021-03-29T21:09:39ZengIEEEIEEE Access2169-35362018-01-016272392725010.1109/ACCESS.2018.28292198344751Performance Evaluation of Acoustic Model-Based Blind Channel Estimation in Ocean WaveguidesWei Feng0https://orcid.org/0000-0002-1566-7524Jianlong Li1https://orcid.org/0000-0002-8205-9334T. C. Yang2Lan Zhang3College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, ChinaCollege of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, ChinaCollege of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China36<sup>th</sup> Research Institution, China Electronic Technology Group Corporation, Jiaxing, ChinaBlind channel estimation (BCE) which does not require the knowledge of the source signals becomes increasingly important in various underwater acoustic applications. Unlike the conventional methods that utilize the statistical properties of the received signals, this paper proposes an acoustic model based BCE method that exploits the properties of the acoustic propagation and the acoustic environmental information. This method is implemented by localizing the source with a matched-field processing algorithm first, then, uses the physical model of the ocean waveguides to determine the channel impulse response. Its performance is investigated by making comparisons with the mode-based artificial time reversal and the ray-based synthetic time reversal methods, using the array data measured from the SWellEx-96 experiment at four source-array ranges. Cross-correlation coefficient and normalized projection misalignment are adopted to evaluate the performance of the proposed method, and the simulation results for different multipath channels confirm the effectiveness of the proposed method.https://ieeexplore.ieee.org/document/8344751/Acoustic signal processingchannel estimationchannel modelsdeconvolution
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Wei Feng Jianlong Li T. C. Yang Lan Zhang
spellingShingle	Wei Feng Jianlong Li T. C. Yang Lan Zhang Performance Evaluation of Acoustic Model-Based Blind Channel Estimation in Ocean Waveguides IEEE Access Acoustic signal processing channel estimation channel models deconvolution
author_facet	Wei Feng Jianlong Li T. C. Yang Lan Zhang
author_sort	Wei Feng
title	Performance Evaluation of Acoustic Model-Based Blind Channel Estimation in Ocean Waveguides
title_short	Performance Evaluation of Acoustic Model-Based Blind Channel Estimation in Ocean Waveguides
title_full	Performance Evaluation of Acoustic Model-Based Blind Channel Estimation in Ocean Waveguides
title_fullStr	Performance Evaluation of Acoustic Model-Based Blind Channel Estimation in Ocean Waveguides
title_full_unstemmed	Performance Evaluation of Acoustic Model-Based Blind Channel Estimation in Ocean Waveguides
title_sort	performance evaluation of acoustic model-based blind channel estimation in ocean waveguides
publisher	IEEE
series	IEEE Access
issn	2169-3536
publishDate	2018-01-01
description	Blind channel estimation (BCE) which does not require the knowledge of the source signals becomes increasingly important in various underwater acoustic applications. Unlike the conventional methods that utilize the statistical properties of the received signals, this paper proposes an acoustic model based BCE method that exploits the properties of the acoustic propagation and the acoustic environmental information. This method is implemented by localizing the source with a matched-field processing algorithm first, then, uses the physical model of the ocean waveguides to determine the channel impulse response. Its performance is investigated by making comparisons with the mode-based artificial time reversal and the ray-based synthetic time reversal methods, using the array data measured from the SWellEx-96 experiment at four source-array ranges. Cross-correlation coefficient and normalized projection misalignment are adopted to evaluate the performance of the proposed method, and the simulation results for different multipath channels confirm the effectiveness of the proposed method.
topic	Acoustic signal processing channel estimation channel models deconvolution
url	https://ieeexplore.ieee.org/document/8344751/
work_keys_str_mv	AT weifeng performanceevaluationofacousticmodelbasedblindchannelestimationinoceanwaveguides AT jianlongli performanceevaluationofacousticmodelbasedblindchannelestimationinoceanwaveguides AT tcyang performanceevaluationofacousticmodelbasedblindchannelestimationinoceanwaveguides AT lanzhang performanceevaluationofacousticmodelbasedblindchannelestimationinoceanwaveguides
_version_	1724193385862922240

Performance Evaluation of Acoustic Model-Based Blind Channel Estimation in Ocean Waveguides

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