Combined blind equalization and classification of multiple signals

Barathram Ramkumar, Tamal Bose

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish (US)
Title of host publicationPECCS 2011 - Proceedings of the 1st International Conference on Pervasive and Embedded Computing and Communication Systems
Pages339-344
Number of pages6
StatePublished - Sep 12 2011
Externally publishedYes
Event1st International Conference on Pervasive and Embedded Computing and Communication Systems, PECCS 2011 - Vilamoura, Algarve, Portugal
Duration: Mar 5 2011Mar 7 2011

Publication series

NamePECCS 2011 - Proceedings of the 1st International Conference on Pervasive and Embedded Computing and Communication Systems

Other

Other1st International Conference on Pervasive and Embedded Computing and Communication Systems, PECCS 2011
Country/TerritoryPortugal
CityVilamoura, Algarve
Period3/5/113/7/11

Keywords

  • Cumulants
  • MIMO blind equalizer
  • Multiuser automatic modulation classifier (MAMC)

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Computer Networks and Communications
  • Communication

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