@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",
}