Min‐Hong Sun
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The organizations/institutes from the scholar's latest article
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Min‐Hong Sun has a total of 1 co-authors. Here are the top co-authors by number of shared publications:
Bin Tang
School of Electronic Engineering , University of Electronic Science and Technology , Chengdu, 610054, China
1 shared publication
Latest Publications
- 1 April 2009
- Published by Taylor & Francis in Journal of the Chinese Institute of Engineers
- Vol. 32 (3) , 407-413
Suppression of smeared spectrum ECM signal
Three electronic counter‐countermeasures (ECCM) techniques for suppressing smeared spectrum (SMSP) jamming, a new electronic counter measures (ECM) technique, are presented. The analytical representations of the SMSP ECM signal in the time domain and the frequency domain are first derived, and then the differences between the SMSP jamming signal and the radar linear frequency modulation (LFM) signal are analyzed. Based on the differences, a jamming suppression system specifically for SMSP jamming interference excision is designed, which applies three different signal processing tools, i.e. fractional Fourier transform (FRFT), Fourier transform (FT) and atomic decomposition (AD). The jamming suppression performance of the presented methods is evaluated through simulations. The simulation results show that the presented methods can successfully suppress SMSP jamming.
- 1 April 2009
- Published by Taylor & Francis in Journal of the Chinese Institute of Engineers
- Vol. 32 (3) , 407-413
Suppression of smeared spectrum ECM signal
Three electronic counter‐countermeasures (ECCM) techniques for suppressing smeared spectrum (SMSP) jamming, a new electronic counter measures (ECM) technique, are presented. The analytical representations of the SMSP ECM signal in the time domain and the frequency domain are first derived, and then the differences between the SMSP jamming signal and the radar linear frequency modulation (LFM) signal are analyzed. Based on the differences, a jamming suppression system specifically for SMSP jamming interference excision is designed, which applies three different signal processing tools, i.e. fractional Fourier transform (FRFT), Fourier transform (FT) and atomic decomposition (AD). The jamming suppression performance of the presented methods is evaluated through simulations. The simulation results show that the presented methods can successfully suppress SMSP jamming.