Reduced rank equalization for precoded OFDM systems

Author

Zhang, Jian

Author_Institution

Networked Syst., Nat. ICT Australia, Sydney, NSW

fYear

2008

Firstpage

1

Lastpage

4

Abstract

In precoded OFDM systems, zero-forcing (ZF) equalizers suffer from noise enhancement and error spreading problems. A minimum mean square error (MMSE) equalizer can mitigate the problems and improve system performance, however, it has relatively higher complexity and is sensitive to the estimation accuracy of noise variance. In this paper, based on the principle of reduced-rank signal processing, we propose reduced-rank equalizers for precoded OFDM systems. These equalizers can achieve performance close to MMSE equalizers while with complexity similar to ZF equalizers.

Keywords

OFDM modulation; broadband networks; channel estimation; equalisers; least mean squares methods; precoding; radio networks; signal processing; broadband wireless communications; error spreading problems; minimum mean square error equalizer; noise enhancement; noise variance; precoded OFDM systems; reduced rank equalization; reduced-rank signal processing; zero-forcing equalizers; Australia Council; Equalizers; Fading; Frequency diversity; Frequency domain analysis; Mean square error methods; Noise reduction; OFDM modulation; Peak to average power ratio; Signal processing;

fLanguage

English

Publisher

ieee

Conference_Titel

Personal, Indoor and Mobile Radio Communications, 2008. PIMRC 2008. IEEE 19th International Symposium on

Conference_Location

Cannes

Print_ISBN

978-1-4244-2643-0

Electronic_ISBN

978-1-4244-2644-7

Type

conf

DOI

10.1109/PIMRC.2008.4699470

Filename

4699470