Liu Li
Engineering Optimization and Smart Antenna Institute, Northeastern University at Qinhuangdao, Qinhuangdao, Hebei, 066004, China
Wang Jin-kuan
School of Information Science and Engineering, Northeastern University, Shenyang, Liaoning, 110004, China
Han Ying-hua
Engineering Optimization and Smart Antenna Institute, Northeastern University at Qinhuangdao, Qinhuangdao, Hebei, 066004, China
Song Xin
Engineering Optimization and Smart Antenna Institute, Northeastern University at Qinhuangdao, Qinhuangdao, Hebei, 066004, China
Wang Yu-huan
School of Information Science and Engineering, Northeastern University, Shenyang, Liaoning, 110004, China
ABSTRACT
Maximum Likelihood (ML) detection algorithm has the optimal Bit Error Rate (BER) performance and the highest calculating complexity in Multiple-Input Multiple-Output (MIMO) system especially with high numbers of transmit antenna and modulation order. QR decomposition with M-algorithm (QRD-M) has been proofed to provide near ML detection performance. QRD-M algorithm reduces the complexity by selecting M candidates with the smallest accumulated metrics at each level of the tree search. To achieve near-ML detection performance, M should be set as large as the constellation size which results the increasing of calculating complexity. If reducing candidate branch, the detection performance will become worse. An improved detection scheme, depth-first QRD-M detection algorithm, is presented here. By jointing depth-first search method with QRD-M, the proposed algorithm can provide better tradeoff options by selecting parameters at different values and simulation results show the validity of proposed algorithm.
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How to cite this article
Liu Li, Wang Jin-kuan, Han Ying-hua, Song Xin and Wang Yu-huan, 2013. Improved Depth-First QRD-M Detection Algorithm for MIMO Systems. Information Technology Journal, 12: 8015-8019.
DOI: 10.3923/itj.2013.8015.8019
URL: https://scialert.net/abstract/?doi=itj.2013.8015.8019
DOI: 10.3923/itj.2013.8015.8019
URL: https://scialert.net/abstract/?doi=itj.2013.8015.8019
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