Hassanieh等设计了一种基于稀疏傅里叶变换的实时宽带频谱感知和解译技术BigBand, 该技术利用3台通用低速采集卡, 实现最多2个混叠稀疏信号的解译。本文基于BigBand给出一种利用多通道低速采集卡宽带频谱感知设计方案, 实现用低速采样解决宽频范围内多稀疏信号的快速感知解译。同时给出了一种该方案的实验验证方法。实验结果表明, 四通道BigBand能支持同一频点最多3个信号混叠的恢复。

Hassanieh etc. proposed a prototype based on Sparse Fourier Transform(SFT) for wide band spectrum sensing and decoding in real-time. BigBand uses three standard low-speed Analog to Digital Converters(ADCs) to resolve the aliased spectrum in which at most two signals collide. In this paper, a design is put forward by using a multi-channel low-speed acquisition card to sense and decode wideband spectrum based on BigBand. An experimental implementation is presented for this design. Experimental results show that a 4-channel BigBand can resolve the aliasing of three frequencies.