Adaptive equalization and interference cancellation for wireless communication systems

Author

Lo, Ben Chi Wah ; Letaief, Khaled

Author_Institution

Center for Wireless Inf. Technol., Hong Kong Univ. of Sci. & Technol., Kowloon, Hong Kong

Volume

47

Issue

4

fYear

1999

fDate

4/1/1999 12:00:00 AM

Firstpage

538

Lastpage

545

Abstract

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

Keywords

Rayleigh channels; Viterbi detection; adaptive equalisers; cochannel interference; computational complexity; interference suppression; intersymbol interference; least squares approximations; maximum likelihood sequence estimation; personal communication networks; recursive estimation; MLSE equalizer; RLS-based channel estimator; adaptive equalization; cochannel interference; computational complexity reduction; frequency selective Rayleigh fading; generalized Viterbi algorithm; interference cancellation; intersymbol interference; maximum likelihood sequence estimation; sequential algorithm; simulation results; wireless communication systems; wireless personal communications; Adaptive equalizers; Computational modeling; Frequency; Interchannel interference; Interference cancellation; Intersymbol interference; Maximum likelihood estimation; Rayleigh channels; Viterbi algorithm; Wireless sensor networks;

fLanguage

English

Journal_Title

Communications, IEEE Transactions on

Publisher

ieee

ISSN

0090-6778

Type

jour

DOI

10.1109/26.764927

Filename

764927