基于压缩感知的宽带信号采集系统性能分析与算法实现  

Performance Analysis and Algorithm Implementation of Wideband Signal Sampling System Based on Compressed Sensing

作　　者：焦松鹤[1] 彭华[1] 

机构地区：[1]信息工程大学信息工程学院,河南郑州450002

出　　处：《信息工程大学学报》2011年第3期352-357,共6页Journal of Information Engineering University

基　　金：河南省自然科学基金资助项目(102300410008)

摘　　要：为了解决目前超宽带信号采集过程中面临的采集困难、数据量大的难题,文章从基于压缩感知的信号采集理论出发,提出了基于GPU平台的超宽带信号采集系统实现方法,重点分析了采集系统的重构性能。分析表明该方法对于宽带稀疏信号的采集能够有效降低采样速率,提高采集效率。Sampling uhra-wideband signal is a challenging problem because of high sampling rate and huge data stream. To solve the problem, this paper presents an ultra-wideband signal sampling system developed on GPU platform based on compressed sensing. The performance of signal recon- struction is analyzed as an emphasis, and the research shows that the system can considerably reduce sampling rate and improve sampling efficiency of wideband sparse signal sampling.

关 键 词：超宽带 信号采集 压缩感知 GPU 

分 类 号：TP911.7[自动化与计算机技术]