DocumentCode :
3106910
Title :
Classifier based low-complexity MIMO detection for spatial multiplexing systems
Author :
Athaudage, C.R.N. ; Zhang, M. ; Jayalath, A.D.S. ; Abhayapala, T.D.
Author_Institution :
Univ. of Melbourne, Melbourne
fYear :
2008
fDate :
Jan. 30 2008-Feb. 1 2008
Firstpage :
1
Lastpage :
5
Abstract :
In this paper, we propose a low complexity detection scheme for MIMO systems incorporating spatial multiplexing. Optimal detection schemes such as maximum-likelihood (ML) detection of MIMO signals demands computational resources that are beyond the capabilities of most practical systems. Alternative reduced complexity MIMO detection techniques have been proposed, but the complexity of algorithmic schemes are in general much higher than that of the equalizer-based techniques, e.g. zero-forcing (ZF) or MMSE. On the other hand, equalizer- based techniques perform relatively poor in terms of error rate. In this paper, we propose a hybrid of an equalizer-based technique and an algorithmic search stage. Based on an error matrix and its probability density functions for different classes of error, a particular search region is selected for the algorithmic stage. As the probability of occurrence of error classes with larger search regions is small, overall complexity of the proposed technique remains low while providing a significant improvement in the error performance.
Keywords :
MIMO communication; equalisers; error statistics; multiplexing; probability; signal classification; signal detection; algorithmic search stage; classifier-based low-complexity MIMO detection; equalizer-based technique; error matrix; probability density functions; spatial multiplexing systems; Computational complexity; Detectors; Equalizers; Error analysis; MIMO; Maximum likelihood detection; Receiving antennas; Slot antennas; Systems engineering and theory; Transmitting antennas;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications Theory Workshop, 2008. AusCTW 2008. Australian
Conference_Location :
Christchurch
Print_ISBN :
978-1-4244-2038-4
Electronic_ISBN :
978-1-4244-2038-4
Type :
conf
DOI :
10.1109/AUSCTW.2008.4460812
Filename :
4460812
Link To Document :
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