Lattice Reduction Aided Detection Combined ML and OSIC
WANG Zhen-chao1,2,ZHU Chun-yan1
1(College of Electronic ＆ Informational Engineering,Hebei University,Baoding 071002,China),2(Key Laboratory of Digital Medical Engineering of Hebei Province,Baoding 071002,China)
Abstract：In order to improve the detection performance of suboptimal detection algorithm in the high SNR,This paper introduces the lattice technology based on ML-OSIC,and presents a new lattice reduction aided detection algorithm (ML-LLL-OSIC).The algorithm first traverses the best noise detection sub-channel signals,then the lattice processing the remaining channel to improves the orthogonality of the channel matrix,finally the OSIC algorithm on the basis of new channel matrix.This algorithm reduces search times,while improves the orthogonality of the channel matrix and more effectively avoids the interference between layers,and error diffusion.The simulation results show that the algorithm can get the same performance as ML detection algorithm in MUMIMO system when the SNR is greater than 10dB in QPSK modulation mode or the SNR is greater than 14dB in 16QAM modulation mode.
王振朝,朱春燕. 联合ML和OSIC的格规约辅助检测算法[J]. 小型微型计算机系统, 2015, 36(4): 764-767.
WANG Zhen-chao,ZHU Chun-yan. Lattice Reduction Aided Detection Combined ML and OSIC. Journal of Chinese Computer Systems, 2015, 36(4): 764-767.
2015, Vol. 36 
