DocumentCode :
3435886
Title :
Low Complexity Two Stage Detection Scheme for MIMO Systems
Author :
Chouayakh, Mohamed ; Knopp, Andreas ; Lankl, Berthold
Author_Institution :
Munich Univ. of the Bundeswehr, Neubiberg
fYear :
2007
fDate :
1-6 July 2007
Firstpage :
1
Lastpage :
5
Abstract :
This paper provides an approach to reach a near maximum likelihood performance, for MIMO systems, with a strongly reduced computational effort. This method is based on a two-step detection. The first detection step will be performed by using a MMSE equalizer and a subsequent decision unit The second step is a reduced search (RS) algorithm, that is applied only in a neighborhood of the detected symbols of the first step. For complexity reasons only the least reliable symbols are processed by the RS algorithm. The simulation results show that this MMSE RS detector outperforms the MMSE V-BLAST detector. It provides an improved performance using the same complexity.
Keywords :
MIMO communication; equalisers; least mean squares methods; maximum likelihood detection; MIMO; MMSE RS detector; MMSE V-BLAST detector; MMSE equalizer; RS algorithm; two stage detection scheme; Antenna measurements; Detection algorithms; Detectors; Equalizers; MIMO; Mutual information; Quadrature amplitude modulation; Receiving antennas; Transmitting antennas; Wireless LAN;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Theory for Wireless Networks, 2007 IEEE Information Theory Workshop on
Conference_Location :
Solstrand
Print_ISBN :
978-1-4244-1200-6
Electronic_ISBN :
978-1-4244-1200-6
Type :
conf
DOI :
10.1109/ITWITWN.2007.4318062
Filename :
4318062
Link To Document :
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