Blind source separation of QAM signals by using a novel optimality of the constant modulus algorithm

H. Zheng; B. Yan; H. Y. Su; Y. J. Liu; Z. Abderrahmen

doi:10.1201/b18049-30

Blind source separation of QAM signals by using a novel optimality of the constant modulus algorithm

H. Zheng, B. Yan, H. Y. Su, Y. J. Liu, Z. Abderrahmen

School of Computer Science and Technology

Beijing Institute of Technology

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

Abstract

Blind Source Separation (BSS) is used to estimate N unknown transmitted signals from the only knowledge of a set of P observation signals. This paper presents a new approach called CMA-norm based on the polynomial norm functions. It combines the CMA term with a Constellation Matching Error term to force the estimated symbols to converge to the original constellation symbols. Through several simulations performed and comparing to CMA, the proposed algorithm not only compensates the phase, but also presents good separation performance in terms of SINR and speed of convergence.

Original language	English
Title of host publication	Future Communication, Information and Computer Science - Proceedings of the International Conference on Future Communication, Information and Computer Science, FCICS 2014
Editors	Dawei Zheng
Publisher	CRC Press/Balkema
Pages	127-130
Number of pages	4
ISBN (Print)	9781138026537
DOIs	https://doi.org/10.1201/b18049-30
Publication status	Published - 2015
Event	International Conference on Future Communication, Information and Computer Science, FCICS 2014 - Beijing, China Duration: 22 May 2014 → 23 May 2014

Publication series

Name	Future Communication, Information and Computer Science - Proceedings of the International Conference on Future Communication, Information and Computer Science, FCICS 2014

Conference

Conference	International Conference on Future Communication, Information and Computer Science, FCICS 2014
Country/Territory	China
City	Beijing
Period	22/05/14 → 23/05/14

Keywords

BSS
Blind source separation
Constant modulus

Access to Document

10.1201/b18049-30

Cite this

Zheng, H., Yan, B., Su, H. Y., Liu, Y. J., & Abderrahmen, Z. (2015). Blind source separation of QAM signals by using a novel optimality of the constant modulus algorithm. In D. Zheng (Ed.), Future Communication, Information and Computer Science - Proceedings of the International Conference on Future Communication, Information and Computer Science, FCICS 2014 (pp. 127-130). (Future Communication, Information and Computer Science - Proceedings of the International Conference on Future Communication, Information and Computer Science, FCICS 2014). CRC Press/Balkema. https://doi.org/10.1201/b18049-30

Zheng, H. ; Yan, B. ; Su, H. Y. et al. / Blind source separation of QAM signals by using a novel optimality of the constant modulus algorithm. Future Communication, Information and Computer Science - Proceedings of the International Conference on Future Communication, Information and Computer Science, FCICS 2014. editor / Dawei Zheng. CRC Press/Balkema, 2015. pp. 127-130 (Future Communication, Information and Computer Science - Proceedings of the International Conference on Future Communication, Information and Computer Science, FCICS 2014).

@inproceedings{b26a8a5eae3346caad1ec36d8dc8b0cd,

title = "Blind source separation of QAM signals by using a novel optimality of the constant modulus algorithm",

abstract = "Blind Source Separation (BSS) is used to estimate N unknown transmitted signals from the only knowledge of a set of P observation signals. This paper presents a new approach called CMA-norm based on the polynomial norm functions. It combines the CMA term with a Constellation Matching Error term to force the estimated symbols to converge to the original constellation symbols. Through several simulations performed and comparing to CMA, the proposed algorithm not only compensates the phase, but also presents good separation performance in terms of SINR and speed of convergence.",

keywords = "BSS, Blind source separation, Constant modulus",

author = "H. Zheng and B. Yan and Su, {H. Y.} and Liu, {Y. J.} and Z. Abderrahmen",

note = "Publisher Copyright: {\textcopyright} 2015 Taylor & Francis Group, London.; International Conference on Future Communication, Information and Computer Science, FCICS 2014 ; Conference date: 22-05-2014 Through 23-05-2014",

year = "2015",

doi = "10.1201/b18049-30",

language = "English",

isbn = "9781138026537",

series = "Future Communication, Information and Computer Science - Proceedings of the International Conference on Future Communication, Information and Computer Science, FCICS 2014",

publisher = "CRC Press/Balkema",

pages = "127--130",

editor = "Dawei Zheng",

booktitle = "Future Communication, Information and Computer Science - Proceedings of the International Conference on Future Communication, Information and Computer Science, FCICS 2014",

}

Zheng, H, Yan, B, Su, HY, Liu, YJ & Abderrahmen, Z 2015, Blind source separation of QAM signals by using a novel optimality of the constant modulus algorithm. in D Zheng (ed.), Future Communication, Information and Computer Science - Proceedings of the International Conference on Future Communication, Information and Computer Science, FCICS 2014. Future Communication, Information and Computer Science - Proceedings of the International Conference on Future Communication, Information and Computer Science, FCICS 2014, CRC Press/Balkema, pp. 127-130, International Conference on Future Communication, Information and Computer Science, FCICS 2014, Beijing, China, 22/05/14. https://doi.org/10.1201/b18049-30

Blind source separation of QAM signals by using a novel optimality of the constant modulus algorithm. / Zheng, H.; Yan, B.; Su, H. Y. et al.
Future Communication, Information and Computer Science - Proceedings of the International Conference on Future Communication, Information and Computer Science, FCICS 2014. ed. / Dawei Zheng. CRC Press/Balkema, 2015. p. 127-130 (Future Communication, Information and Computer Science - Proceedings of the International Conference on Future Communication, Information and Computer Science, FCICS 2014).

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

TY - GEN

T1 - Blind source separation of QAM signals by using a novel optimality of the constant modulus algorithm

AU - Zheng, H.

AU - Yan, B.

AU - Su, H. Y.

AU - Liu, Y. J.

AU - Abderrahmen, Z.

PY - 2015

Y1 - 2015

N2 - Blind Source Separation (BSS) is used to estimate N unknown transmitted signals from the only knowledge of a set of P observation signals. This paper presents a new approach called CMA-norm based on the polynomial norm functions. It combines the CMA term with a Constellation Matching Error term to force the estimated symbols to converge to the original constellation symbols. Through several simulations performed and comparing to CMA, the proposed algorithm not only compensates the phase, but also presents good separation performance in terms of SINR and speed of convergence.

AB - Blind Source Separation (BSS) is used to estimate N unknown transmitted signals from the only knowledge of a set of P observation signals. This paper presents a new approach called CMA-norm based on the polynomial norm functions. It combines the CMA term with a Constellation Matching Error term to force the estimated symbols to converge to the original constellation symbols. Through several simulations performed and comparing to CMA, the proposed algorithm not only compensates the phase, but also presents good separation performance in terms of SINR and speed of convergence.

KW - BSS

KW - Blind source separation

KW - Constant modulus

UR - http://www.scopus.com/inward/record.url?scp=84940565114&partnerID=8YFLogxK

U2 - 10.1201/b18049-30

DO - 10.1201/b18049-30

M3 - Conference contribution

AN - SCOPUS:84940565114

SN - 9781138026537

T3 - Future Communication, Information and Computer Science - Proceedings of the International Conference on Future Communication, Information and Computer Science, FCICS 2014

SP - 127

EP - 130

BT - Future Communication, Information and Computer Science - Proceedings of the International Conference on Future Communication, Information and Computer Science, FCICS 2014

A2 - Zheng, Dawei

PB - CRC Press/Balkema

T2 - International Conference on Future Communication, Information and Computer Science, FCICS 2014

Y2 - 22 May 2014 through 23 May 2014

ER -

Zheng H, Yan B, Su HY, Liu YJ, Abderrahmen Z. Blind source separation of QAM signals by using a novel optimality of the constant modulus algorithm. In Zheng D, editor, Future Communication, Information and Computer Science - Proceedings of the International Conference on Future Communication, Information and Computer Science, FCICS 2014. CRC Press/Balkema. 2015. p. 127-130. (Future Communication, Information and Computer Science - Proceedings of the International Conference on Future Communication, Information and Computer Science, FCICS 2014). doi: 10.1201/b18049-30

Blind source separation of QAM signals by using a novel optimality of the constant modulus algorithm

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