压缩采样中模拟信息转换器的性能仿真

Performance Simulation of Analog to Information Converter Based on Compressive Sensing

受奈奎斯特采样定理的约束,传统通信设备在提高分辨率和满足实时性要求时,面临高采样率、快处理速度等问题的挑战。而根据压缩采样(Compressive Sensing,CS)理论构建的模拟信息转换器(Analogto Information Converter,AIC)只需进行远低于奈奎斯特采样率采样信号,即可实现对原信号的精确重构。仿真结果表明通过AIC的信号能精确重构,且重构概率和AIC的参数设置密切相关。

In order to enhance resolution and meet the requirements of real-time processing,Conventional communications equipment is facing with the challenges on high sampling rates and faster processing speed,which constrained by the Nyquist sampling theorem.Nevertheless,analogue-to-information converter（ATC）,based on compressive sensing theory,can reconstruct the original signal accurately,and its signal sampling is much lower than Nyquist sampling rate.Simulation results show that the signal can been accurately reconstructed in the AIC device.And the probability of reconstruction is closely related to the parameters of AIC device.