Earticle

초록

영어

Millimeter wave radar echo signals often contain noise and clutter because of rain and fog’s influence on the performance of which, and its performance drop greatly. In recent years, bi-stable stochastic resonance and multi-scale wavelet decomposition theory received great attentions in the field of signal de-noising. This paper proposed a novel mechanism of stochastic resonance which is induced by multi-scale noise for weak signal detection in millimeter wave radar signal. Firstly by multi-scale wavelet decomposition, input signal which is in heavy background noise was decomposed to several signals with different frequencies. After that they were induced by contraction factors of each noise scale, and then were as the input signal of bi-stable system. Simulations of different parameters show that under suitable contraction factors, SNR of output signal can be improved greatly.

목차

Abstract
 1. Introduction
 2. Principle of Bi-stable Stochastic Resonance
 3. Theory of Multi-scale Wavelet Decomposition
 4. Numerical Experiments and Discussion
 5. Conclusion
 Acknowledgements
 References

키워드

저자

• Han Lingyun [ Institute of Millimeter Wave and Optical Near Sensing Technology, School of Electronic Engineering and Optoelectronic Technology, Nanjing University of Science & Technology, Nanjing 210094, College of Physics and Electronic Information, An Hui Normal University, WuHu 241000 ]
• Li Yuehua [ Institute of Millimeter Wave and Optical Near Sensing Technology, School of Electronic Engineering and Optoelectronic Technology, Nanjing University of Science & Technology, Nanjing 210094 ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Signal Processing, Image Processing and Pattern Recognition

• 간기

  격월간

• pISSN

  2005-4254

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605