Title :
Reduced rank equalization for precoded OFDM systems
Author_Institution :
Networked Syst., Nat. ICT Australia, Sydney, NSW
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;
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
DOI :
10.1109/PIMRC.2008.4699470
