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一种针对宽带卫星通信信号的欠采样处理方法 被引量:1

A Sub-Nyquist Sampling Processing Method for Wideband Satellite Communication Signals
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摘要 在宽带高频卫星通信信号的非合作接收处理中,可以利用调制宽带转换技术对接收到的卫星通信信号进行欠采样处理,但由于复杂背景信号的存在,进行欠采样时,会增加信号处理的运算量和稀疏阶数,影响稀疏重构的效果和效率。针对这种问题,提出了一种基于频域滤波的改进型调制宽带转换技术,并进行了欠采样处理仿真实验,结果表明,在复杂背景信号存在时,本文方法优化了对宽带高频卫星通信信号的稀疏重构效果,提高了信号处理效率。 In non-cooperative receiving processing of wideband high-frequency satellite communication signals,it is feasible that using broadband modulation conversion technology to perform subNyquist sampling processing to received satellite communication signals.Due to the complexity of background signals,the computation of signals processing and sparse order will be increased,which will affect the effectiveness and efficiency of the sparse-reconstruction.In order to solve this problem,this paper presents an improved modulation wideband conversion technology based on frequency domain filtering,and performs a simulation experiment of sub-Nyquist sampling processing.The result shows that in the presence of complex background signal,the method proposed in this paer optimizes the effectiveness of the sparse-reconstruction to widwband high frequency satellite communication signals.,and improves the efficiency of signals processing.
作者 文韬 陈旗 WEN Tao;CHEN Qi(Naval University of Engineering,Wuhan 430033,Chin)
机构地区 海军工程大学
出处 《舰船电子对抗》 2018年第2期66-70,共5页 Shipboard Electronic Countermeasure
基金 国家自然科学基金青年项目 项目编号:61501484 海军工程大学科研发展基金项目 项目编号:科技[2016]66号
关键词 卫星通信 频域滤波 调制宽带转换 欠采样处理 satellite communication frequency domain filtering modulation wideband conversion sub-Nyquist sampling processing
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  • 1黄晓华.2020军事卫星通信发展研究[J].空间电子技术,2012,9(1):1-5. 被引量:3
  • 2张春梅,尹忠科,肖明霞.基于冗余字典的信号超完备表示与稀疏分解[J].科学通报,2006,51(6):628-633. 被引量:70
  • 3R Baraniuk.A lecture on compressive sensing[J].IEEE Signal Processing Magazine,2007,24(4):118-121. 被引量:1
  • 4Guangming Shi,Jie Lin,Xuyang Chen,Fei Qi,Danhua Liu and Li Zhang.UWB echo signal detection with ultra low rate sampling based on compressed sensing[J].IEEE Trans.On Circuits and Systems-Ⅱ:Express Briefs,2008,55(4):379-383. 被引量:1
  • 5Cand,S E J.Ridgelets:theory and applications[I)].Stanford.Stanford University.1998. 被引量:1
  • 6E Candès,D L Donoho.Curvelets[R].USA:Department of Statistics,Stanford University.1999. 被引量:1
  • 7E L Pennec,S Mallat.Image compression with geometrical wavelets[A].Proc.of IEEE International Conference on Image Processing,ICIP'2000[C].Vancouver,BC:IEEE Computer Society,2000.1:661-664. 被引量:1
  • 8Do,Minh N,Vetterli,Martin.Contourlets:A new directional multiresolution image representation[A].Conference Record of the Asilomar Conference on Signals,Systems and Computers[C].Pacific Groove,CA,United States:IEEE Computer Society.2002.1:497-501. 被引量:1
  • 9G Peyré.Best Basis compressed sensing[J].Lecture Notes in Ccmputer Science,2007,4485:80-91. 被引量:1
  • 10V Temlyakov.Nonlinear Methods of Approximation[R].IMI Research Reports,Dept of Mathematics,University of South Carolina.2001.01-09. 被引量:1

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