tailieunhanh - Báo cáo hóa học: " Research Article A Near-ML Complex K-Best Decoder with Efficient Search Design for MIMO Systems"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article A Near-ML Complex K-Best Decoder with Efficient Search Design for MIMO Systems | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2010 Article ID 892120 18 pages doi 2010 892120 Research Article A Near-ML Complex K-Best Decoder with Efficient Search Design for MIMO Systems Chung-Jung Huang Chih-Sheng Sung and Ta-Sung Lee Department of Electrical Engineering National Chiao Tung University 1001 Ta-Hsueh Road Hsinchu 300 Taiwan Correspondence should be addressed to Chung-Jung Huang Received 21 May 2010 Revised 20 October 2010 Accepted 16 December 2010 Academic Editor Athanasios Rontogiannis Copyright 2010 Chung-Jung Huang et al. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. A low-complexity near-ML K-Best sphere decoder is proposed. The development of the proposed K-Best sphere decoding algorithm SDA involves two stages. First a new candidate sequence generator CSG is proposed. The CSG directly operates in the complex plane and efficiently generates sorted candidate sequences with precise path weights. Using the CSG and an associated parallel comparator the proposed K-Best SDA can avoid performing a large amount of path weight evaluations and sorting. Next a new search strategy based on a derived cumulative distribution function cdf and an associated efficient procedure is proposed. This search procedure can be directly manipulated in the complex plane and performs ML search in a few preceding layers. It is shown that incorporating detection ordering into the proposed SDA offers a systematic method for determining the numbers of required ML search layers. With the above features the proposed SDA is shown to provide near ML performance with a lower complexity requirement than conventional K-Best SDAs. 1. Introduction Next-generation wireless communication systems are expected to provide users with higher .