Combined multiuser signal classification and blind equalization

Barathram Ramkumar, Tamal Bose

Research output: Contribution to journalArticle

Abstract

A multiuser automatic modulation classifier (MAMC) is an important signal processing component of a multiantenna cognitive radio (CR) receiver that helps the radio in identifying modulation format employed by multiple users in a frequency band simultaneously. In a typical wireless communication, transmitted signals are subjected to multipath fading and interference from other users. Multipath fading not only affects symbol detection performance but also affects the performance of the automatic modulation classifier. 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 and inter user interference. In a CR scenario it is preferable to consider the performance of the AMC also while adapting the parameters of the blind equalizer. In this paper we propose MIMO blind equalizers that improves the performance of both multiuser symbol detection and cumulants based MAMC. Computer simulations are provided to illustrate this concept and the proposed algorithm.

Original languageEnglish (US)
Pages (from-to)451-461
Number of pages11
JournalAnalog Integrated Circuits and Signal Processing
Volume73
Issue number2
DOIs
StatePublished - Nov 2012

Fingerprint

Blind equalization
Equalizers
Cognitive radio
Modulation
Classifiers
Multipath fading
Radio receivers
Frequency bands
Signal processing
Communication
Computer simulation

Keywords

  • Cognitive radio receivers
  • Cognitive radios
  • Multiuser signal classification

ASJC Scopus subject areas

  • Surfaces, Coatings and Films
  • Hardware and Architecture
  • Signal Processing

Cite this

Combined multiuser signal classification and blind equalization. / Ramkumar, Barathram; Bose, Tamal.

In: Analog Integrated Circuits and Signal Processing, Vol. 73, No. 2, 11.2012, p. 451-461.

Research output: Contribution to journalArticle

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