Enhanced OSIC Detection Algorithm for Double TxAA MIMO System
In this paper, enhanced OSIC (Ordered Successive Interference Cancellation) algorithm combined with ML (maximum likelihood) is considered for double TxAA (transmit antenna array) MIMO (Multi-Input Multi-Output) system. Error propagation is known to be inherent drawback of OSIC algorithm and deteriorate system performance significantly. Its performance is seriously affected, in particular, by the last layer in which symbol detection could be erroneous due to incorrect detections and accumulation from previous layers. To improve performance effectively, our proposed scheme employs the ML detection to the last layer. From the simulation results, it is shown that the proposed scheme outperforms the conventional OSIC algorithm in both spatially uncorrelated and correlated fading channels.his electronic document is a “live template. The various components of your paper title, text, heads, etc. are already defined on the style sheet, as illustrated by the portions given in this document. (Abstract)
MIMO ML OSIC Double TxAA
Jaehochung Hyejeong Lee Seong-Choon Lee
Portable Internet Development Department Infra Laboratory,R&D Center Korea Telecom Seoul,Korea
国际会议
广州
英文
2008-11-19（万方平台首次上网日期，不代表论文的发表时间）