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

^*Corresponding author for this work

Northwestern Polytechnical University Xian

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	Proceedings of 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03
Pages	1413-1416
Number of pages	4
DOIs	https://doi.org/10.1109/ICNNSP.2003.1281138
Publication status	Published - 2003
Externally published	Yes
Event	2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03 - Nanjing, China Duration: 14 Dec 2003 → 17 Dec 2003

Publication series

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

Conference

Conference	2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03
Country/Territory	China
City	Nanjing
Period	14/12/03 → 17/12/03

Access to Document

10.1109/ICNNSP.2003.1281138

Cite this

Yan, S., & Ma, Y. (2003). Blind deconvolution for SISO FIR channels based on autocorrelation function. In Proceedings of 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03 (pp. 1413-1416). Article 1281138 (Proceedings of 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03; Vol. 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. in 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, vol. 2, pp. 1413-1416, 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03, Nanjing, China, 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. p. 1413-1416 1281138 (Proceedings of 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03; Vol. 2).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

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AU - Yan, Shefeng

AU - Ma, Yuanliang

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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.

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DO - 10.1109/ICNNSP.2003.1281138

M3 - Conference contribution

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

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Y2 - 14 December 2003 through 17 December 2003

ER -

Blind deconvolution for SISO FIR channels based on autocorrelation function

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