强干扰下基于子空间的空时多用户检测算法  

Space-Time Multiuser Detection Based on Subspace in Low SNR Channel

作　　者：段正华[1] 陈玉[1] 

机构地区：[1]湖南大学计算机与通信学院,湖南长沙410082

出　　处：《湖南大学学报（自然科学版）》2005年第2期110-112,共3页Journal of Hunan University:Natural Sciences

摘　　要：在经典的代价函数为最小输出能量的多用户监测算法的基础上,结合子空间算法,提出了一种改进的空时多用户检测算法,并对比了不同信干比环境下,该算法与经典的MMSE多用户监测算法的输出信噪比.仿真结果表明:在低信干比的情况下,该算法能得到更好的输出信干比,适合在强干扰环境下监测用户信号.Based on the Minimum Output Energy (MOE) multiuser detection, this paper proposed an improved space-time multiuser detection algorithm by combining the subspace decomposition. Comparisons were performed between the output Signal Noise Ratio (SNR) of the improved algorithm and the classic MMSE multiuser detection algorithm in different Signal Inference Ratio (SIR) environment. Simulation results showed that the improved algorithm had better performance in low SIR environment and was suitable for environment with lager interfere.

关 键 词：多用户检测 子空间 空时二维处理 

分 类 号：TN929.53[电子电信—通信与信息系统]