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| 分布式压缩感知实现联合信道估计的方法 | |
| 引用本文： | 王韦刚,杨震,胡海峰.分布式压缩感知实现联合信道估计的方法[J].信号处理,2012,28(6):778-784. |
| 作者姓名： | 王韦刚 杨震 胡海峰 |
| 作者单位： | 1. 南京邮电大学教育部“宽带无线通信和传感网技术”重点实验室,江苏南京210003;南京邮电大学电子科学与工程学院,江苏南京210003 2. 南京邮电大学教育部“宽带无线通信和传感网技术”重点实验室,江苏南京,210003 3. 东南大学移动通信国家重点实验室,江苏南京,210008 |
| 基金项目： | 国家自然科学基金，国家重大基础研究计划973项目，南京邮电大学青蓝计划，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 |
| 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。 |
| 关 键 词： | 信道估计 压缩感知 分布式压缩感知 正交匹配追踪 |
The Method of Achieving Simultaneous Channels Estimation on Distributed Compressed Sensing |
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| WANG Wei-gang , YANG Zhen , HU Hai-feng.The Method of Achieving Simultaneous Channels Estimation on Distributed Compressed Sensing[J].Signal Processing,2012,28(6):778-784. | |
| Authors: | WANG Wei-gang YANG Zhen HU Hai-feng |
| Affiliation: | 1.Key lab of "wideband wireless communication and sensor network technology",ministry of education, Nanjing Univ.of Posts and Telecommunications,Nanjing 210003,China;2.College of Electronic Science & engineering,Nanjing Univ.of Posts and Telecom.,Nanjing 210003,China; 3.National Mobile Communications Research Laboratory,Southeast univ.,Nanjing 210008,China) |
| Abstract: | 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. |
| Keywords: | Channel Estimation Compressive Sensing Distributed Compressed Sensing Orthogonal Matching Pursuit |
| 本文献已被 CNKI 万方数据 等数据库收录！ | |