基于压缩采样的模拟到信息转换的研究与实现

Research and Implementation of Analog-to-Information Conversion in Compressive Sensing

传统通信设备在处理宽带频谱稀疏信号时,面临高采样率、快处理速度等方面的困难。提出了一种基于压缩采样(Compressive Sensing,CS)的模拟到信息转换方法,解码端采用一定的算法对信号精确重构。仿真结果表明,与传统方法相比较,采样率降低了,并呈现出很好的恢复性能。

The aditional communication equipments for Spectrally-sparse wideband signals are faced with many other difficulties ,such as a high rate of sampling , faster processing speed . In this article, we present a new method for analog-toinformation based on compressinve sensing, and the decode can use a certain algorithm to accurately reconstruct the signal. The simulation results show that, compared with traditional method, the sampling rate has been reduced, and showe a good recovery performance.