DocumentCode :
2536426
Title :
Reduced Complexity Sphere Decoder for MIMO Systems Using Reliability Discrimination Algorithms
Author :
Kim, Ryun Woo ; Lee, Dong Jin ; Byun, Youn Shik
Author_Institution :
Dept. of Electron. Eng., Incheon Univ.
Volume :
3
fYear :
2007
fDate :
12-14 Feb. 2007
Firstpage :
1627
Lastpage :
1631
Abstract :
The sphere decoding (SD) algorithm has been an important to solve complexity of the maximum likelihood detection (MLD). However, the complexity of the SD is higher than that of V-BLAST in low SNR region. But, the V-BLAST detection its performance suffers degradation because of the error propagation. In this paper, we propose two reliability discrimination (RD) schemes to reduce complexity of SD. Basically, estimate a symbol by V-BLAST in proposed schemes. One is RDED that discriminates the reliability of the estimated symbol by pre-calculated Euclidean distance. The other RDMD that discriminates the reliability by pre-calculated Manhattan distance. Then we can determine whether use SD algorithm or not by pre-calculated distances of RD. Therefore, the computational complexity of proposed schemes can be significantly reduced with acceptable performance degradation.
Keywords :
MIMO communication; computational complexity; maximum likelihood detection; telecommunication network reliability; Euclidean distance; MIMO systems; Manhattan distance; V-BLAST detection; computational complexity; error propagation; maximum likelihood detection; performance degradation; reduced complexity sphere decoder; reliability discrimination algorithms; Computational complexity; Computational modeling; Degradation; Euclidean distance; MIMO; Maximum likelihood decoding; Maximum likelihood detection; Receiving antennas; Reliability engineering; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Communication Technology, The 9th International Conference on
Conference_Location :
Gangwon-Do
ISSN :
1738-9445
Print_ISBN :
978-89-5519-131-8
Type :
conf
DOI :
10.1109/ICACT.2007.358681
Filename :
4195483
Link To Document :
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