1-Bit压缩传感在稀疏多径信道首达波估计中的应用  

First Arrival Estimation for Sparse Multipath Channel

作　　者：韩春晖[1] 赵成章[1] 闫国庆[1] 

机构地区：[1]中国电子科技集团公司第二十八研究所,江苏南京210007

出　　处：《新技术新工艺》2017年第4期19-21,共3页New Technology & New Process

摘　　要：由于稀疏多径信道(SMPC)的大部分元素为零,稀疏多径信道冲击响应可以通过较短的训练序列估计出来。利用传统的压缩传感方法是根据信号的符号信息来估计信道,而利用1-Bit压缩传感方法,可以仅仅根据信号的符号信息来检测SMPC的非零项,也可将1-Bit压缩传感的方法转化成为凸问题。为了消除字典中原子间干扰,应用了感知字典。仿真结果显示,所提出的应用感知字典的1-Bit压缩传感方法比传统的压缩传感方法要好很多。Since most components of sparse multi-path channel （SMPC） are zero, impulse response of SMPC can be recovered from a short training sequence and its non-zero entries can be estimated from a short training sequence. In this paper, we use 1-Bit measurements, which preserve only the sign information of the random measure, to estimate the first arrival of sparse channel. Although it is possible to estimate using the classical compressive sensing approach by treating the 1-Bit measurement as measurement values, in this paper we reformulate the problem to a convex problem. In order to mitigate inter-atom interference （IAI）, a sensing dictionary is used. The simulation results demonstrate that the percentage of first arrival of SMPC by the proposed method is significantly better than the classical compressive sensing method and better than that doesn＇t use a sensing dictionary.

关 键 词：1-Bit压缩传感 感知字典 稀疏多径信道 

分 类 号：TN919[电子电信—通信与信息系统]