一种基于压缩采样的SDR接收机AIC前端设计

A Design of AIC for SDR Front-End Based on Compressive Sampling

摘要: 传统的射频六端口网络可以直接将射频信号下变频为基带信号，它的输出功率中包含输入信号的相位和幅度信息。在A/D采样后，我们可以得到的基带信号,但这将面临高采样率的问题。压缩采样可以以远低于奈奎斯特采样速率对信号进行有用信息的采集。该文将压缩采样技术用于六端口直接变频接收机中，提出用一种新颖的模拟信息转换器件(AIC)。这个AIC可以以较低的采样速率获取大量的数据。该AIC可能成为软件无线电接收的一个满意前端。文章对AIC前端做了性能仿真。

Abstract: Conventional six-port network can down convert the RF signal to baseband directly; its output power contains the phase and amplitude information. We can get baseband signal after the A/D sampling, but it will face the problem of high sampling rate. Compressive sampling can get the useful dates at a lower sampling frequency than Nyquist rate. The paper uses compression sam-pling technique into Six-port direct conversion receiver and proposes a new analog to information conversion (AIC). The AIC can obtain large amounts of data at a lower sampling rate. The AIC may be a satisfactory front-end of software defined radio. This article does a performance simulation of AIC front-end.