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Reduced Complexity K-BEST Lattice Decoding Algorithm for MIMO Systems  

Lee Sung-Ho (Dept. of EE eng., Yonsei Univ.)
Shin Myeong-Cheol (Dept. of EE eng., Yonsei Univ.)
Jung Sung-Hun (Dept. of EE eng., Yonsei Univ.)
Seo Jeong-Tae (Dept. of IC eng., Chungju Univ.)
Lee Chung-Yong (Dept. of EE eng., Yonsei Univ.)
Publication Information
Journal of the Institute of Electronics Engineers of Korea TC / v.43, no.3, 2006 , pp. 95-102 More about this Journal
Abstract
This paper proposes the KB-Fano algorithm which has lower decoding complexity by applying modified Fano-like metric bias to the conventional K-best algorithm. Additionally, an efficient K-best decoding algorithm, named the KR-Fano scheme, is proposed by jointly combining the K-reduction and the KB-Fano schemes. Simulations show that the proposed algerian provides the remarkable improvement from the viewpoints of the BER performance and the decoding complexity as compared to the conventional K-best scheme.
Keywords
MIMO; maximum-likelihood; K-Best; partial Euclidean distance; Fano-like metric;
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Times Cited By KSCI : 1  (Citation Analysis)
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