一种基于多通道欠采样宽带频谱感知设计  

Design based on multi-channel sub-sampling for wideband spectrum sensing

作　　者：曹凯 陆佩忠[3] 邹艳[2] 赵康宁 王劲松 毛云良[2] 

机构地区：[1]信息工程大学信息系统工程学院,河南郑州450002 [2]西南电子电信技术研究所上海分所,上海200434 [3]复旦大学计算机科学与工程系,上海200433

出　　处：《太赫兹科学与电子信息学报》2017年第6期940-945,共6页Journal of Terahertz Science and Electronic Information Technology

基　　金：海洋公益性行业科研专项经费资助项目(201405031-03)

摘　　要：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.

关 键 词：BigBand技术 频谱感知 压缩采样 稀疏傅里叶 信号恢复 

分 类 号：TN92[电子电信—通信与信息系统]