DocumentCode :
3126982
Title :
A low complexity soft-output MIMO decoding algorithm
Author :
Guo, Zhan ; Nilsson, Peter
Author_Institution :
Dept. of Electroscience, Lund Univ.
fYear :
2005
fDate :
18-19 April 2005
Firstpage :
90
Lastpage :
93
Abstract :
The K-best Schnoff-Euchner (KSE) decoding algorithm is shown to be capable of supporting soft-outputs for MIMO detection. A modified KSE (MKSE) decoding algorithm is further proposed to improve the performance of the soft-output KSE with minor modifications. Simulation results show that the proposed MKSE algorithm can approach near-optimal performance with lower complexity and is suitable for coded MIMO detection without iterations
Keywords :
MIMO systems; computational complexity; decoding; radio links; receiving antennas; signal detection; transmitting antennas; K-best Schnoff-Euchner decoding algorithm; coded MIMO detection; iterations; lower complexity; near-optimal performance; receive antennas; soft-output MIMO decoding algorithm; transmit antennas; Baseband; Detectors; Equations; Gaussian noise; Iterative decoding; MIMO; Quadrature amplitude modulation; Receiving antennas; Transfer functions; Transmitting antennas;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advances in Wired and Wireless Communication, 2005 IEEE/Sarnoff Symposium on
Conference_Location :
Princeton, NJ
Print_ISBN :
0-7803-8854-2
Type :
conf
DOI :
10.1109/SARNOF.2005.1426519
Filename :
1426519
Link To Document :
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