Adaptive equalization and interference cancellation for wireless communication systems

Ben Chi Wah Lo, Khaled Letaief

Research output: Contribution to journalArticle

34 Citations (Scopus)

Abstract

In this paper, an adaptive equalization and interference cancellation method is proposed. The proposed scheme can cancel both intersymbol interference and cochannel interference, and is blind in the sense that no knowledge of the training sequences of the interfering users is required. In particular, it is a maximum likelihood sequence estimation (MLSE) equalizer that is implemented by the generalized Viterbi algorithm (GVA) with an RLS-based channel estimator. To demonstrate the potential of the proposed method, various simulation results over a frequency selective Rayleigh fading environment in the presence of cochannel interference are presented. In addition, a sequential algorithm is introduced to reduce the computational complexity of GVA.

Original languageEnglish
Pages (from-to)538-545
Number of pages8
JournalIEEE Transactions on Communications
Volume47
Issue number4
DOIs
Publication statusPublished - 1 Jan 1999
Externally publishedYes

Fingerprint

Cochannel interference
Viterbi algorithm
Communication systems
Intersymbol interference
Frequency selective fading
Equalizers
Rayleigh fading
Maximum likelihood
Computational complexity

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Cite this

Adaptive equalization and interference cancellation for wireless communication systems. / Lo, Ben Chi Wah; Letaief, Khaled.

In: IEEE Transactions on Communications, Vol. 47, No. 4, 01.01.1999, p. 538-545.

Research output: Contribution to journalArticle

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