MIMO-OFDM系统中基于子载波分组信道估计的改进算法  

Improved subcarrier grouping channel estimation algorithms in MIMO-OFDM systems

作　　者：田永毅[1] 倪宏斌 

机构地区：[1]陕西工业职业技术学院电气工程系,陕西咸阳712000 [2]中国通信建设第二工程局,陕西西安710119

出　　处：《河北科技大学学报》2009年第2期141-145,F0003,共6页Journal of Hebei University of Science and Technology

摘　　要：针对传统的MIMO-OFDM系统信道估计算法复杂度高、对导频结构有特殊要求的问题,提出了2种基于子载波分组信道估计改进算法。改进算法通过子载波分组将多天线信道估计转换成单天线信道估计来获取导频子载波信道响应,避免了大矩阵求逆运算,降低了算法的复杂度;利用DFT滤波算法或LMS自适应滤波算法得到整帧所有符号的信道响应,实现算法复杂度不变、估计性能的提高。理论分析和仿真结果表明,改进算法与传统的信道估计算法相比较,具有较低的复杂度和更好的估计性能。In view of the defect of high complexity and the need for special pilot frame in the traditional MIMO-OFDM channel estimation algorithms, two improved channel estimation algorithms based on subcarrier grouping were researched. In improved algorithms, for avoiding the computation of large-scale matrix inverse operation and reducing algorithm complexity, channel responses of pilot subcarrier were obtained by single antenna channel estimation that is transformed from multi-antennas channel estimation by the method of subcarrier grouping. Then, channel responses of the whole frame signs were estimated with DFT filtering or LMS（Least Mean Square） adaptive filtering for better performance with complexity scarcely increasing. Theoretical analysis and simulation shows that the improved algorithms have lower complexity and better performance than the traditional channel estimation algorithms.

关 键 词：多入多出正交频分复用 信道估计 复杂度 子载波分组 

分 类 号：TN911.5[电子电信—通信与信息系统]