Earticle

초록

영어

The existing recognition methods of radiation source signal are extremely sensitive to the change of signal-to-noise ratio (SNR). In order to solve this problem, in this paper, it proposes a radar signal recognition method based on fractal box dimension and neural network under the condition of unstable SNR. Firstly, it extracts box counting dimension features of four different radiation source signals, and then uses the characteristic values of stable box counting dimension as the inputs of the neural network. Finally, it can recognize the four different kinds of radiation source signals. Simulation results show that, taking the box counting dimension characteristics as the input of the neural network to train, test and classify, it has good recognition rate in a certain changed range of SNR, and it has more widely application in the application environment.

목차

Abstract
 1. Introduction
 2. Basic Theoretical Knowledge
  2.1. Theory of Fractal Dimension
  2.2. Basic Theory of Neural Network
 3. System Identification Block Diagram based on Fractal and Neural Network
 4. Simulation Results and Analysis
 5. Conclusion
 Acknowledgements
 References

키워드

저자

• Yun Lin [ College of Information and Communication Engineering Harbin Engineering University Harbin, China ]
• Xiaochun Xu [ College of Information and Communication Engineering Harbin Engineering University Harbin, China ]
• Jinfeng Pang [ College of Information and Communication Engineering Harbin Engineering University Harbin, China ]

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