A NOVEL NEAR ML DETECTION ALGORITHM FOR MIMO SYSTEM
Maximum likelihood detection (MLD) algorithm provides the best bit error rate (BER) performance for MIMO communication system. However, the complexity of MLD exponentially increases with the constellation size and the transmit antenna number. Therefore, it is impractical to use a full MLD without reducing its computational complexity. The use of QR decomposition with an M-algorithm (QRD-M) and sphere decoding (SD) have been proposed to provide a near ML performance and low complexity. The complexity of SD has big variations at different SNR values, which results in impractical to use in hardware implementation. QRD-M algorithm keeps M reliable candidates instead of deciding the signal. Decision is made after all detection layers processed. To accomplish near-MLD performance for QRD-M algorithm, M should be large enough for the selected paths to include the correct one. It results in the increasing of the complexity. To reduce these problems, a new detection scheme, named as iterative QRD-M (IQRD-M), is proposed in the paper. After performing QR decomposition of the channel matrix, the exhaustive search of the last layer is done, the accumulated metrics are calculated and sorted, which gives an order set of the last layer, then QRD-M algorithm are used to search the left layers with novel termination methods. The proposed algorithm provides the more near-ML performance and with low complexity.
Multiple input multiple output (MIMO) Detection ML QRD-M
LI LIU JINKUAN WANG DONGMEI YAN JING GAO
Department of Automation Engineering of Northeastern University at Qinhuangdao School of Information Science and Engineering at Northeastern University, China
国际会议
The Second International Conference on Information & Systems Sciences(ICISS2008)(第二届信息与系统科学国际会议)
大连
英文
739-745
2008-12-18（万方平台首次上网日期，不代表论文的发表时间）