High-resolution imaging algorithm based on temporal focal characteristic of time-reversed signal

High-resolution imaging algorithm based on temporal focal characteristic of time-reversed signal

Although the high-resolution materials can improve the resolution of the conventional time-reversal imaging (TRI) algorithms, they also limit the applications of TRI. In this paper, a new TRI algorithm with high-resolution is presented. Since the proposed algorithm utilizes multiple time reversal op...

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Bibliographic Details
Main Authors: Guangmin Zhang, Junxiao Zhu, Jiaquan Li, Ning Wang
Format: Article
Language:English
Published: Taylor & Francis Group 2019-01-01
Series:Systems Science & Control Engineering
Subjects:
High-resolution
imaging algorithm
time-reversal
Online Access:http://dx.doi.org/10.1080/21642583.2019.1624222
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spelling doaj-e53e5cc0d5f2488f868e92bbb1e454ca2020-11-25T01:30:24ZengTaylor & Francis GroupSystems Science & Control Engineering2164-25832019-01-017119820910.1080/21642583.2019.16242221624222High-resolution imaging algorithm based on temporal focal characteristic of time-reversed signalGuangmin Zhang0Junxiao Zhu1Jiaquan Li2Ning Wang3Dongguan University of TechnologyUniversity of HoustonDongguan University of TechnologyTexas Southern UniversityAlthough the high-resolution materials can improve the resolution of the conventional time-reversal imaging (TRI) algorithms, they also limit the applications of TRI. In this paper, a new TRI algorithm with high-resolution is presented. Since the proposed algorithm utilizes multiple time reversal operation steps to improve resolution, it can realize high-resolution without invoking any high-resolution materials. The results show the resolution of the proposed algorithm is superior to that of the conventional TRI.http://dx.doi.org/10.1080/21642583.2019.1624222High-resolutionimaging algorithmtime-reversal
collection DOAJ
language English
format Article
sources DOAJ
author Guangmin Zhang
Junxiao Zhu
Jiaquan Li
Ning Wang
spellingShingle Guangmin Zhang
Junxiao Zhu
Jiaquan Li
Ning Wang
High-resolution imaging algorithm based on temporal focal characteristic of time-reversed signal
Systems Science & Control Engineering
High-resolution
imaging algorithm
time-reversal
author_facet Guangmin Zhang
Junxiao Zhu
Jiaquan Li
Ning Wang
author_sort Guangmin Zhang
title High-resolution imaging algorithm based on temporal focal characteristic of time-reversed signal
title_short High-resolution imaging algorithm based on temporal focal characteristic of time-reversed signal
title_full High-resolution imaging algorithm based on temporal focal characteristic of time-reversed signal
title_fullStr High-resolution imaging algorithm based on temporal focal characteristic of time-reversed signal
title_full_unstemmed High-resolution imaging algorithm based on temporal focal characteristic of time-reversed signal
title_sort high-resolution imaging algorithm based on temporal focal characteristic of time-reversed signal
publisher Taylor & Francis Group
series Systems Science & Control Engineering
issn 2164-2583
publishDate 2019-01-01
description Although the high-resolution materials can improve the resolution of the conventional time-reversal imaging (TRI) algorithms, they also limit the applications of TRI. In this paper, a new TRI algorithm with high-resolution is presented. Since the proposed algorithm utilizes multiple time reversal operation steps to improve resolution, it can realize high-resolution without invoking any high-resolution materials. The results show the resolution of the proposed algorithm is superior to that of the conventional TRI.
topic High-resolution
imaging algorithm
time-reversal
url http://dx.doi.org/10.1080/21642583.2019.1624222
work_keys_str_mv AT guangminzhang highresolutionimagingalgorithmbasedontemporalfocalcharacteristicoftimereversedsignal
AT junxiaozhu highresolutionimagingalgorithmbasedontemporalfocalcharacteristicoftimereversedsignal
AT jiaquanli highresolutionimagingalgorithmbasedontemporalfocalcharacteristicoftimereversedsignal
AT ningwang highresolutionimagingalgorithmbasedontemporalfocalcharacteristicoftimereversedsignal
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