Blind deconvolution for SISO FIR channels based on autocorrelation function

Shefeng Yan; Yuanliang Ma

doi:10.1109/ICNNSP.2003.1281138

Blind deconvolution for SISO FIR channels based on autocorrelation function

Shefeng Yan^*, Yuanliang Ma

^*此作品的通讯作者

Northwestern Polytechnical University Xian

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

摘要

A new algorithm based on autocorrelation function of single input for blind deconvolution is proposed. We deduce a LMS iterative algorithm for blind deconvolution by minimizing the squared sum of received signal autocorrelation function over a region excluding the zero delay point. In this algorithm, only second order moment is adopted, which makes it widely applicable for Gaussian signals as well as non-Gaussian signals. Computer simulation results agree well to the theoretical analysis.

源语言	英语
主期刊名	Proceedings of 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03
页	1413-1416
页数	4
DOI	https://doi.org/10.1109/ICNNSP.2003.1281138
出版状态	已出版 - 2003
已对外发布	是
活动	2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03 - Nanjing, 中国期限: 14 12月 2003 → 17 12月 2003

出版系列

姓名	Proceedings of 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03
卷	2

会议

会议	2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03
国家/地区	中国
市	Nanjing
时期	14/12/03 → 17/12/03

访问文件

10.1109/ICNNSP.2003.1281138

其它文件与链接

链接到 Scopus 的出版物

引用此

Yan, S., & Ma, Y. (2003). Blind deconvolution for SISO FIR channels based on autocorrelation function. 在 Proceedings of 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03 (页码 1413-1416). 文章 1281138 (Proceedings of 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03; 卷 2). https://doi.org/10.1109/ICNNSP.2003.1281138

@inproceedings{a81e38a4525a4882ba89f6f3d0c917c9,

title = "Blind deconvolution for SISO FIR channels based on autocorrelation function",

abstract = "A new algorithm based on autocorrelation function of single input for blind deconvolution is proposed. We deduce a LMS iterative algorithm for blind deconvolution by minimizing the squared sum of received signal autocorrelation function over a region excluding the zero delay point. In this algorithm, only second order moment is adopted, which makes it widely applicable for Gaussian signals as well as non-Gaussian signals. Computer simulation results agree well to the theoretical analysis.",

author = "Shefeng Yan and Yuanliang Ma",

year = "2003",

doi = "10.1109/ICNNSP.2003.1281138",

language = "English",

isbn = "0780377028",

series = "Proceedings of 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03",

pages = "1413--1416",

booktitle = "Proceedings of 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03",

note = "2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03 ; Conference date: 14-12-2003 Through 17-12-2003",

}

Yan, S & Ma, Y 2003, Blind deconvolution for SISO FIR channels based on autocorrelation function. 在 Proceedings of 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03., 1281138, Proceedings of 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03, 卷 2, 页码 1413-1416, 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03, Nanjing, 中国, 14/12/03. https://doi.org/10.1109/ICNNSP.2003.1281138

Blind deconvolution for SISO FIR channels based on autocorrelation function. / Yan, Shefeng; Ma, Yuanliang.
Proceedings of 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03. 2003. 页码 1413-1416 1281138 (Proceedings of 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03; 卷 2).

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

TY - GEN

T1 - Blind deconvolution for SISO FIR channels based on autocorrelation function

AU - Yan, Shefeng

AU - Ma, Yuanliang

PY - 2003

Y1 - 2003

N2 - A new algorithm based on autocorrelation function of single input for blind deconvolution is proposed. We deduce a LMS iterative algorithm for blind deconvolution by minimizing the squared sum of received signal autocorrelation function over a region excluding the zero delay point. In this algorithm, only second order moment is adopted, which makes it widely applicable for Gaussian signals as well as non-Gaussian signals. Computer simulation results agree well to the theoretical analysis.

AB - A new algorithm based on autocorrelation function of single input for blind deconvolution is proposed. We deduce a LMS iterative algorithm for blind deconvolution by minimizing the squared sum of received signal autocorrelation function over a region excluding the zero delay point. In this algorithm, only second order moment is adopted, which makes it widely applicable for Gaussian signals as well as non-Gaussian signals. Computer simulation results agree well to the theoretical analysis.

UR - http://www.scopus.com/inward/record.url?scp=78650141054&partnerID=8YFLogxK

U2 - 10.1109/ICNNSP.2003.1281138

DO - 10.1109/ICNNSP.2003.1281138

M3 - Conference contribution

AN - SCOPUS:78650141054

SN - 0780377028

SN - 9780780377028

T3 - Proceedings of 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03

SP - 1413

EP - 1416

BT - Proceedings of 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03

T2 - 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03

Y2 - 14 December 2003 through 17 December 2003

ER -

Blind deconvolution for SISO FIR channels based on autocorrelation function

摘要

出版系列

会议

访问文件

其它文件与链接

指纹

引用此