高速环境下多小区联合信道估计算法  

Channel estimation algorithms for multi-cell joint detection under high-speed environment

作　　者：张磊[1] 马社祥[1] 

机构地区：[1]天津理工大学计算机与通信工程学院,天津300384

出　　处：《天津理工大学学报》2011年第1期6-10,共5页Journal of Tianjin University of Technology

摘　　要：在已经投入运行的高铁列车环境下,存在着频繁的小区切换和小区接入过程,而这两个过程都产生强的相邻小区干扰.在接收端进行信号检测时,单个小区联合检测必须扩展到多个小区联合检测,相应的信道估计算法也必须扩展到多小区.传统信道估计算法对本小区和相邻小区进行信道估计时,其他小区的用户信号均被视为噪声,增加了噪声的总功率,低了信道估计精度,最终降低了多个小区联合检测算法的性能.本文提出的信道估计算法把相邻小区的强干扰用户纳入信道估计矩阵来降低噪声,达到提高信道估计精度的目的.仿真表明,该算法同时提高了本小区用户信道估计精度和邻小区强干扰用户信道估计精度.By being put into operation under high-speed rail trains,there are frequent cell switching and cell access process,and these two processes produce strong adjacent cell interference.Signal detection at the receiver side,the single cell joint detection must be extended to multi-cell joint detection.The corresponding channel estimation algorithm must also be extended to multi-cell.Conventional channel estimation algorithm for the cell and neighbor cell channel estimation,the other cell user signals as are regarded as noise,increased the noise total power,low channel estimation accuracy,and ultimately reduce the multi-cell joint detection algorithm.We proposed channel estimation algorithm for strong interference by the user into the adjacent cell channel estimation matrix to reduce the noise,to improve the accuracy of channel estimation purposes.Simulation results show that the algorithm while increasing the cell user channel estimation accuracy and strong interference user adjacent cell channel estimation accuracy.

关 键 词：TD-SCDMA 信道估计 邻小区干扰 

分 类 号：TN929[电子电信—通信与信息系统]