@inproceedings{387f23e88ed748a58b7c19d01c491f7e,
title = "Combined blind equalization and classification of multiple signals",
abstract = "A multiuser automatic modulation classifier (MAMC) is an important component of a multiantenna cognitive radio (CR) receiver that helps the radio to better utilize the spectrum. MAMC identifies the modulation schemes of multiple users in a frequency band simultaneously. A multi-input-multi-output (MIMO) blind equalizer is another important component of a multiantenna CR receiver that improves symbol detection performance by reducing inter symbol interference (ISI) and inter user interference (IUI). In a CR scenario, it is preferable to also consider the performance of the automatic modulation classifier (AMC) while designing the blind equalizer. In this paper we propose a MIMO blind equalizer that improves the performance of both multiuser symbol detection and cumulant based MAMC.",
keywords = "Cumulants, MIMO blind equalizer, Multiuser automatic modulation classifier (MAMC)",
author = "Barathram Ramkumar and Tamal Bose",
year = "2011",
language = "English (US)",
isbn = "9789898425485",
series = "PECCS 2011 - Proceedings of the 1st International Conference on Pervasive and Embedded Computing and Communication Systems",
pages = "339--344",
booktitle = "PECCS 2011 - Proceedings of the 1st International Conference on Pervasive and Embedded Computing and Communication Systems",
note = "1st International Conference on Pervasive and Embedded Computing and Communication Systems, PECCS 2011 ; Conference date: 05-03-2011 Through 07-03-2011",
}