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An Adaptive K-best detection algorithm for MIMO systems  

Kim, Jong-Wook (Dept. of EE eng., Yonsei Univ.)
Kang, Ji-Won (Dept. of EE eng., Yonsei 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.10, 2006 , pp. 1-7 More about this Journal
Abstract
Lattice decoding concept has been proposed for the implementation of the Maximum-Likelihood detection which is the optimal receiver from the viewpoint of the BER (Bit Error Rate) performance for MIMO (Multiple Input Multiple Output) systems. Sphere decoding algorithm and K-best decoding algorithm are based on the lattice decoding concept. A K-best decoding algorithm shows a good BER performance with relatively low complexity. However, with small K value, the error propagation effect severely degrades the performance. In this paper, we propose an adaptive K-best decoding algorithm which has lower average complexity and better BER performance than conventional K-best decoding algorithm.
Keywords
maximum-likelihood detection; K-best algorithm;
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