摘要
针对无线通信中多个信道之间存在相关性的现象,本文研究了基于压缩感知的联合信道估计。通过选取多个节点与簇头之间的信道为研究背景,本文建立了多信道下的联合信道估计模型,推导了判决门限与信噪比之间的关系,提出了基于门限自适应-正交匹配追踪联合重构技术(TA-SOMP)的信道估计算法,并进行了相应的仿真实验。仿真结果表明:与经典的正交匹配追踪(OMP)算法相比,本文算法所重构的信道与原始信道之间的均方误差(MSE)更小,传输信号误比特率(BER)更低;在相同信噪比环境下,TA-SOMP算法所需导频数量更少,频带利用率更高。
Aiming at existing phenomenon of the correlation between channels in the wireless communication,we studied the simultaneous channel estimation method based on compressed sensing.By selecting multiple channels between nodes and cluster as the experiment object,we established the simultaneous channel estimation model in this paper,deduced the relationship of threshold with the signal noise rate（SNR）,proposed the threshold adaptation-simultaneous orthogonal matching pursuit（TA-SOMP） algorithm for channel estimation,and accomplished the corresponding simulation experiments.The simulation results show that compared to the classical orthogonal matching pursuit（OMP） algorithm,the TA-SOMP algorithm has better performance of mean square error（MSE） and the received signal has lower bit error rate（BER）.Under the same SNR,the TA-SOMP algorithm needs fewer pilots than OMP algorithm,which means the former can get higher band utilization rate.
出处
《信号处理》
CSCD
北大核心
2012年第6期778-784,共7页
Journal of Signal Processing
基金
国家自然科学基金(60971129
61071092)
国家重大基础研究计划973项目(2011CB302903)
南京邮电大学青蓝计划(NY210038)
东南大学移动通信国家重点实验室开放研究基金资助课题(课题编号:2011D04)
关键词
信道估计
压缩感知
分布式压缩感知
正交匹配追踪
Channel Estimation
Compressive Sensing
Distributed Compressed Sensing
Orthogonal Matching Pursuit
