DocumentCode :
2625876
Title :
Capacity of Suboptimal Decoders for Coded Multiple-Input Multiple-Output Systems
Author :
Kim, Pansop ; Chugg, Keith M.
Author_Institution :
Southern California Univ., CA
fYear :
2005
fDate :
7-7 Sept. 2005
Firstpage :
13
Lastpage :
17
Abstract :
The optimal detector for coded multiple antenna systems is too complex to be implemented. We thus consider number of decouplers: the linear zero-forcing equalizer, the linear minimum mean-squared error equalizer (LMMSE), the successive soft/hard interference canceller, and the parallel soft/hard interference canceller. The constrained capacities of these decouplers are analyzed. It is shown that the capacity of the LMMSE is larger than those of the other decouplers although the general belief is that the interference cancellation schemes are better than linear filters. It is also shown that the LMMSE maximizes each sub-channel capacity. We discuss the likelihood value derivation from the decouplers, which can be used for decoding error correction codes. The performance of parallel transmission of turbo-coded symbols is given to support the constrained capacity analysis
Keywords :
MIMO systems; channel capacity; channel coding; equalisers; error correction codes; interference suppression; least mean squares methods; turbo codes; coded multiple-input multiple-output systems; interference cancellation schemes; linear minimum mean-squared error equalizer; linear zero-forcing equalizer; multiple antenna systems; parallel soft-hard interference canceller; subchannel capacity; suboptimal decoders; successive soft-hard interference canceller; turbo-coded symbols; Decoding; Detectors; Equalizers; Error correction codes; Interference cancellation; Interference constraints; MIMO; Nonlinear filters; Performance analysis; Turbo codes;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Communication Systems, 2005. 2nd International Symposium on
Conference_Location :
Siena
Print_ISBN :
0-7803-9206-X
Type :
conf
DOI :
10.1109/ISWCS.2005.1547645
Filename :
1547645
Link To Document :
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