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Reconfigurable K-best algorithm for MIMO detection systems

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4 Author(s)
Kuang-Hao Lin ; Dept. of Electron. Eng., Nat. Chin-Yi Univ. of Technol., Taiping, Taiwan ; Chih-Hung Lin ; Chang, R.C.-H. ; I-Ju Chang

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 K-best 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.

Published in:

Information, Communications and Signal Processing, 2009. ICICS 2009. 7th International Conference on

Date of Conference:

8-10 Dec. 2009