MIMO信道容量的隐训练序列分析法  

A Implicit Training Sequence Method for MIMO Channel Capacity

作　　者：邢开开[1] 

机构地区：[1]桂林电子科技大学信息与通信学院,广西桂林541004

出　　处：《河南科技大学学报（自然科学版）》2010年第6期46-49,共4页Journal of Henan University of Science And Technology:Natural Science

基　　金：国家"973"高技术计划项目(2008CB317109);国家自然科学基金项目(60572054);广西自然科学基金项目(0991241);广西信息与通讯技术重点实验室课题(10903)

摘　　要：基于隐训练序列的M IMO信道估计模型,利用最小二乘算法的仿真来分析信噪比、数据传输的帧长及收发天线数目与信道容量下限的变化关系。数值模拟结果表明:相同条件下,采用隐训练序列比训练序列能提供更高的信道容量。此外,模型所采用LS方法结构简单,计算量小。A MIMO channel estimation model based on the implicit training sequence method was built.Through exploiting least square(LS) method,the effects of the signal to noise ratio,the transmission frame length and the number of receive antennas on the lower bound of channel capacity were emulated.The numerical simulation results show that channel capacity is improved more by using the implicit training sequences than by using training sequences under the same conditions.Moreover,the LS method has a simple structure and low computation complexity.

关 键 词：隐训练序列 多输入多输出 信道容量 最小二乘估计 信道估计 

分 类 号：TN911.3[电子电信—通信与信息系统]