A Bidirectional Adaptive Detection for BLAST Systems Based on Deterministic Sampling
We consider a novel detection algorithm based on particle filtering algorithm for Bell Laboratory Layered Space Time (BLAST) systems. Applying QR-decomposition of the channel matrix, a tree search method based on deterministic sampling can achieve the performance near optimal decoding when the number of searching paths is very large, which is computationally complex. In this paper, we provide a bidirectional adaptive algorithm (BID_AA), which can quickly approach the best path at low cost. Simulation results show that the new algorithm can greatly outperform MMSE-SIC detection.
Fan Wang Yong Xiong
The Electromagnetics Academy at Zhejiang University Zhejiang University Hangzhou, China Shanghai Research Center for Wireless Communications Shanghai, China
国际会议
2006 International Conference on Communications,Circuits and Systems(第四届国际通信、电路与系统学术会议)
广西桂林
英文
921-924
2006-06-25(万方平台首次上网日期,不代表论文的发表时间)