欠采样技术的超宽带信号子空间重建方法  

Subspace Reconstruction Method of UWB Signals Based on Sub-Sampling

作　　者：杨峰 胡剑浩[2] 李少谦[2] 

机构地区：[1]电子信息控制重点实验室,成都610036 [2]电子科技大学通信抗干扰技术国家重点实验室,成都611731

出　　处：《电子科技大学学报》2010年第6期841-844,849,共5页Journal of University of Electronic Science and Technology of China

基　　金：国家973计划(2007CB310604)

摘　　要：针对超宽带脉冲信号采样中需要设计超高速模数变换器的问题,提出了一种带通采样结构和子空间重建算法。超宽带脉冲信号通过一个带通滤波器后,以数倍信号新息率进行采样,然后采用子空间重建算法可以准确地恢复出超宽带脉冲信号的幅度和时移。分析和仿真结果表明,该算法所要求的采样率低于传统香农采样定理要求的奈奎斯特率;当信号受到噪声影响时,子空间重建算法的性能优于现有的零化滤波重建算法。In this paper,bandpass sampling and subspace reconstruction methods of ultra-wideband（UWB） signals are proposed,which can greatly reduce the sampling rate in UWB communications.The UWB signals are passed through a bandpass filter and sampled at several times of the innovation rate.Then the amplitudes and time shifts of UWB signals can be obtained by subspace reconstruction method.Analysis and simulation results show that the subspace method can precisely reconstruct the UWB signals at a sampling rate which is much lower than Nyquist rate.

关 键 词：带通采样 新息率 子空间重建 超宽带 

分 类 号：TN92[电子电信—通信与信息系统]