Reconfigurable K-best algorithm for MIMO detection systems

Authors:
Kuang-Hao Lin;Chih-Hung Lin;Robert Chen-Hao Chang;I-Ju Chang
Affiliations:
Department of Electronic Engineering, National Chin-Yi University of Technology, Taiping, Taiwan;Department of Electrical Engineering, National Chung Hsing University, Taichung, Taiwan;Department of Electrical Engineering, National Chung Hsing University, Taichung, Taiwan;Department of Electrical Engineering, National Chung Hsing University, Taichung, Taiwan
Venue:
ICICS'09 Proceedings of the 7th international conference on Information, communications and signal processing
Year:
2009

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Abstract

The maximum likelihood (ML) detection is the optimal detection method for multiple-input multiple-output (MIMO) communication systems. The normal K-best Sphere Decoding Algorithm (SDA) can guarantee a fixed throughput, but it induces a large bit error rate (BER) degradation. In order to achieve close-to-ML performance, the K value needs to be sufficiently large. Thus, it needs large computation with long latency and low throughput. In this paper, a reconfigurable Kbest SDA is proposed by using fixed K values for different layers of K-best detection, which can increase the MIMO detection performance. The architecture of 4×4 MIMO detector is designed for both 16QAM and 64QAM modulation.