分布式多入多出正交频分复用快衰落感知估计  

Compressed channel sensing estimation for fast fading distributed MIMO-OFDM systems

作　　者：周小平[1,2] 李莉[1] 汪敏[2] 方勇[2] 张静[1] 

机构地区：[1]上海师范大学信息与机电工程学院,上海200234 [2]上海大学通信与信息工程学院特种光纤与光接入网重点实验室,上海200072

出　　处：《电波科学学报》2013年第1期147-153,203,共8页Chinese Journal of Radio Science

基　　金：国家自然科学基金(60972056,61132004,61101209);上海市自然科学基金项目(11ZR1426600);上海市教育科研(创新)项目(12ZZ126);上海师范大学重点学科资助(DZL126);2012年上海高校青年教师培养资助计划;2013年上海师范大学校级一般项目(SK201319)资助

摘　　要：针对分布式多输入多输出正交频分复用(MIMO-OFDM)快衰落系统,为了消除快衰落信道的干扰,提出一种分布式MIMO-OFDM系统快衰落信道估计方法.该方法利用分布式快衰落信道间的感知信息在空间、时延和多普勒频移上具有的互相关性,求取三维互相关联合稀疏信道模型.推导预相关随机导频测量矩阵,结合分布式压缩感知算法,以能量有效的方式,对快衰落稀疏信道参数进行联合压缩测量和重构,得到各分布式MIMO接收端任意的稀疏信道系数.理论分析与仿真结果都表明,该方法与传统的信道估计方法相比,可以明显提高系统频谱效率和误码率,减少计算复杂度.To estimate the fast fading of propagating channels,a channel estimation algorithm was proposed in distributed multiple-input muhiple-output（MIMO）or- thogonal frequency division muhiplexing（OFDM）fast fading systems. Joint sparse models between the antenna nodes could be exploited with spatial-delay-Doppler correlation. A structurally random pilot matrix was given with pre-correlation. The sparse channel impulse response was compressed and reconstructed in an energy ef- ficient manner based on distributed compressed sensing algorithm. The distributed MIMO channels were estimated with arbitrarily different coefficients. The simula- tion results show that the new channel estimator can provide a considerable per- formance improvement in estimating fast fading channels, when the significant re- duction is achieved in the required number of pilots and computational complexity.

关 键 词：分布式压缩感知 信道估计 快衰落 稀疏信道 

分 类 号：TN911.7[电子电信—通信与信息系统]