DocumentCode :
3305137
Title :
An ML Decoding Algorithm with Reduced Complexity for Multi-Input Multi-Output Systems
Author :
Kang, Hyun Gu ; Park, Juho ; An, Taehun ; Oh, Jongho ; Song, Iickho
Author_Institution :
Korea Adv. Inst. of Sci. & Technol, Daejeon
fYear :
2007
fDate :
July 30 2007-Aug. 2 2007
Firstpage :
339
Lastpage :
342
Abstract :
In this paper, employing the ´breadth-first´ search algorithm for the decoding of received signals in multi-input multi-output systems, we propose a novel decoder exhibiting the maximum likelihood performance with reduced complexity. The proposed algorithm is compared with the sphere decoder. Simulation results show that the proposed decoder allows significantly lower computational complexity than the sphere decoder.
Keywords :
MIMO communication; codecs; computational complexity; maximum likelihood decoding; tree searching; ML decoding algorithm; breadth-first search algorithm; computational complexity; maximum likelihood decoding; multi-input multi-output systems; reduced complexity; signal decoding; sphere decoder; Bit error rate; Computational complexity; Euclidean distance; Lattices; MIMO; Maximum likelihood decoding; Maximum likelihood detection; Receiving antennas; Transmitters; Transmitting antennas; breadth-first searching; maximum likelihood detection; multi-input multi-output system; sphere decoder;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signals, Systems and Electronics, 2007. ISSSE '07. International Symposium on
Conference_Location :
Montreal, Que.
Print_ISBN :
1-4244-1448-2
Electronic_ISBN :
1-4244-1449-0
Type :
conf
DOI :
10.1109/ISSSE.2007.4294482
Filename :
4294482
Link To Document :
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