基于压缩感知的OFDM稀疏信道估计导频优化算法  

Optimized Pilot Placement for Compressive Sensing Based on Sparse Channel Estimation in OFDM Systems

作　　者：薛艳明[1] 彭云柯[1] 高飞[1] 

机构地区：[1]北京理工大学信息与电子学院,北京100081

出　　处：《北京理工大学学报》2017年第5期511-514,共4页Transactions of Beijing Institute of Technology

基　　金：国家自然科学基金资助项目(61101131)

摘　　要：研究了在正交频分复用(OFDM)系统中基于压缩感知信道估计的导频图案设计问题.为了优化信道估计的性能,提出了优化算法,在基于压缩感知的测量矩阵互相关最小化准则的基础上,通过增大随机生成数进行分组,分别计算每组的互相关值,再进行比较求互相关的最大值从而获得导频图案.仿真结果表明,与使用基于测量矩阵互相关最小化准则的导频图案相比,该优化算法得到的信道估计的最小均方误差要低30%.The pilot pattern problem for sparse channel estimation in orthogonal frequency division multiplexing（OFDM）systems has been examined.To optimize the performance of sparse channel estimation,an optimized algorithm was proposed.The algorithm was based on minimizing mutual coherence of the measurement matrix in CS theory,to group with increasing the generated random number.The mutual coherence value of each group was calculated,and compared to get the maximum mutual coherence value,consequently to optimize the pilot pattern.Simulation results demonstrate that the pilot pattern obtained using the proposed algorithm can get 30%lower mean square error（MSE）compared with the original pilot pattern.

关 键 词：正交频分复用 压缩感知 信道估计 导频 

分 类 号：TN911.23[电子电信—通信与信息系统]