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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
投稿时间:2016-08-24  修订日期:2016-10-22
中文关键词:BigBand技术  频谱感知  压缩采样  稀疏傅里叶  信号恢复
英文关键词:BigBand  spectrum sensing  compressive sensing  sparse Fourier  signal recovery
基金项目:海洋公益性行业科研专项经费资助项目(201405031-03)
作者单位
曹 凯 1.Institute of Information System EngineeringInformation Engineering UniversityZhengzhou Henan 450002China2.Southwest Institute of Electron & Telecommunication TechnologyShanghai 200434China 
陆佩忠 Department of Computer Science and EngineeringFudan UniversityShanghai 200433China 
邹 艳 Southwest Institute of Electron & Telecommunication TechnologyShanghai 200434China 
赵康宁 Southwest Institute of Electron & Telecommunication TechnologyShanghai 200434China 
王劲松 Southwest Institute of Electron & Telecommunication TechnologyShanghai 200434China 
毛云良 Southwest Institute of Electron & Telecommunication TechnologyShanghai 200434China 
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中文摘要:
      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。
英文摘要:
      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.
引用本文:曹 凯,陆佩忠,邹 艳,赵康宁,王劲松,毛云良.一种基于多通道欠采样宽带频谱感知设计[J].太赫兹科学与电子信息学报,2017,15(6):940~945
DOI:10.11805/TKYDA201706.0940
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