Automatic recognition of radar signals based on time-frequency image shape character

  • Jian-dong zhu Zhengzhou Information Science and Technology Institute, Zhengzhou-450 002,China
  • Yongjun Zhao Zhengzhou Information Science and Technology Institute, Zhengzhou-450 002,China
  • Jiang Tang Zhengzhou Information Science and Technology Institute, Zhengzhou-450 002,China
  • Junkui Xu Zhengzhou Information Science and Technology Institute, Zhengzhou-450 002,China
DOI: https://doi.org/10.14429/dsj.63.2404
Keywords: Signal recognition, image processing, time-frequency image, Legendre moments

Abstract

Radar signal recognition is one of the key technologies of modern electronic surveillance systems. Time-frequency image provides a new way for recognizing the radar signal. In this paper, a series of image processing methods containing image enhancement, image threshold binarization and mathematical morphology is utilized to extract the shape character of smoothed pseudo wigner-ville time-frequency distribution of radar signal. And then the identification of radar signal is realized by the character. Simulation results of eight kinds of typical radar signal demonstrate that when signal noise ratio (SNR) is greater than -3 dB, the Legendre moments shape character of the time-frequency image is very stable. Moreover, the recognition rate by the character is more than 90 per cent except for the FRANK code signal when SNR > -3 dB. Test also show that the proposed method can effectively recognize radar signal with less character dimension through compared with exitsing algorithms.

Defence Science Journal, 2013, 63(3), pp.308-314, DOI:http://dx.doi.org/10.14429/dsj.63.2404

Author Biographies

Jian-dong zhu, Zhengzhou Information Science and Technology Institute, Zhengzhou-450 002,China
Mr Jiandong Zhu received a BS and MS in Applied Maths from Information Engineering University, Zhengzhou, China in 2003 and 2006. Currently he is pursuing his PhD (Electrical Eng.) at Information Engineering University since September, 2009. his research interests include: Radar signal processing and information security.
Yongjun Zhao, Zhengzhou Information Science and Technology Institute, Zhengzhou-450 002,China
Dr Yongjun Zhao received his BS, MS, and PhD in Electrical Engineering from Information Engineering University, Zhengzhou, China in 1984, 1992, and 2001, respectively. Presently he is a Professor of Information Engineering University. his research interests include: Radar signal processing and array signal processing.
Jiang Tang, Zhengzhou Information Science and Technology Institute, Zhengzhou-450 002,China
Mr Jiang Tang received his BS and MS  in Electrical Engineering from Information Engineering University, Zhengzhou, China in 2008 and 2011. his research interests include: Radar signal processing.
Published
2013-05-16
How to Cite
zhu, J.- dong, Zhao, Y., Tang, J., & Xu, J. (2013). Automatic recognition of radar signals based on time-frequency image shape character. Defence Science Journal, 63(3), 308-314. https://doi.org/10.14429/dsj.63.2404
Issue
Vol 63 No 3
Section
Electronics & Communication Systems
Copyright (c) 2016 Defence Science Journal

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