Fractional time delay estimation algorithm based on the fractional lower order moment

According to the noise characteristics in signal, a fractional time delay estimation algorithm referred to as LMPFTDE was proposed based on the least mean p-norm. This approach generalized the explicit time delay gain estima-tion (ETDGE) algorithm using the least dispersion criterion. The fractional...

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Main Authors: LIU Wen-hong1, 2, QIU Tian-shuang1, HU Ting-ting1, LUAN Lian-yi3
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2006-01-01
Series:Tongxin xuebao
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Online Access:http://www.joconline.com.cn/thesisDetails?columnId=74661665&Fpath=home&index=0
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author LIU Wen-hong1
2
QIU Tian-shuang1
HU Ting-ting1
LUAN Lian-yi3
author_facet LIU Wen-hong1
2
QIU Tian-shuang1
HU Ting-ting1
LUAN Lian-yi3
author_sort LIU Wen-hong1
collection DOAJ
description According to the noise characteristics in signal, a fractional time delay estimation algorithm referred to as LMPFTDE was proposed based on the least mean p-norm. This approach generalized the explicit time delay gain estima-tion (ETDGE) algorithm using the least dispersion criterion. The fractional time delay estimation value could be obtained by minimizing the pth order moment of the error signal. It is shown by theoretical analysis and computer simulations that the proposed method is robust for both Gaussian and non-Gaussian impulsive noise environments.
format Article
id doaj-art-a821b9f1ac5d4b96a44d87d45a053a23
institution OA Journals
issn 1000-436X
language zho
publishDate 2006-01-01
publisher Editorial Department of Journal on Communications
record_format Article
series Tongxin xuebao
spelling doaj-art-a821b9f1ac5d4b96a44d87d45a053a232025-08-20T02:09:05ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2006-01-01374274661665Fractional time delay estimation algorithm based on the fractional lower order momentLIU Wen-hong12QIU Tian-shuang1HU Ting-ting1LUAN Lian-yi3According to the noise characteristics in signal, a fractional time delay estimation algorithm referred to as LMPFTDE was proposed based on the least mean p-norm. This approach generalized the explicit time delay gain estima-tion (ETDGE) algorithm using the least dispersion criterion. The fractional time delay estimation value could be obtained by minimizing the pth order moment of the error signal. It is shown by theoretical analysis and computer simulations that the proposed method is robust for both Gaussian and non-Gaussian impulsive noise environments.http://www.joconline.com.cn/thesisDetails?columnId=74661665&Fpath=home&index=0signal processing;fractional time delay estimation;fractional lower order moment;α stable distribution;impulsive noise
spellingShingle LIU Wen-hong1
2
QIU Tian-shuang1
HU Ting-ting1
LUAN Lian-yi3
Fractional time delay estimation algorithm based on the fractional lower order moment
Tongxin xuebao
signal processing;fractional time delay estimation;fractional lower order moment;α stable distribution;impulsive noise
title Fractional time delay estimation algorithm based on the fractional lower order moment
title_full Fractional time delay estimation algorithm based on the fractional lower order moment
title_fullStr Fractional time delay estimation algorithm based on the fractional lower order moment
title_full_unstemmed Fractional time delay estimation algorithm based on the fractional lower order moment
title_short Fractional time delay estimation algorithm based on the fractional lower order moment
title_sort fractional time delay estimation algorithm based on the fractional lower order moment
topic signal processing;fractional time delay estimation;fractional lower order moment;α stable distribution;impulsive noise
url http://www.joconline.com.cn/thesisDetails?columnId=74661665&Fpath=home&index=0
work_keys_str_mv AT liuwenhong1 fractionaltimedelayestimationalgorithmbasedonthefractionallowerordermoment
AT 2 fractionaltimedelayestimationalgorithmbasedonthefractionallowerordermoment
AT qiutianshuang1 fractionaltimedelayestimationalgorithmbasedonthefractionallowerordermoment
AT hutingting1 fractionaltimedelayestimationalgorithmbasedonthefractionallowerordermoment
AT luanlianyi3 fractionaltimedelayestimationalgorithmbasedonthefractionallowerordermoment