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标题:Sub-Nyquist Sampling and Reconstruction Model of LFM Signals Based on Blind Compressed Sensing in FRFT Domain
时间:2019-01-11 21:32:21
DOI:10.1007/s00034-014-9859-5
作者:Biao Fang;Gaoming Huang;Jun Gao
出版源: 《Circuits Systems & Signal Processing》 ,2015 ,34 (2) :419-439
摘要:A novel framework of sub-Nyquist sampling and reconstruction for linear frequency modulation (LFM) radar signals based on the theory of blind compressed se...
大小:1979 kb
页数:22 PAGES
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目录:
  • Sub-Nyquist Sampling and Reconstruction Model of LFM Signals Based on Blind Compressed Sensing in FRFT Domain
    • Abstract
    • 1 Introduction
    • 2 Background of FRFT and Problem of BCS for LFM Signal
      • 2.1 Background of FRFT
      • 2.2 BCS for LFM Signal
    • 3 BCS and Reconstruction System for LFM Signal
      • 3.1 The Optimal Order Estimation in FRFT Domain through Sub-Nyquist Sampling
      • 3.2 DFRFT Dictionary Design
      • 3.3 Analog-to-Information Convert Structure
      • 3.4 Block Reconstruction Algorithm
      • 3.5 BCS System for LFM Radar Signal
    • 4 Experimental Results and Discussion
    • 5 Conclusion
    • References

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