Template free Micro Doppler Signature Classification for Wheeled and Tracked Vehicles

Authors

  • Jin Guanghu College of Electronic Science and Techonology, National University of Defense Technology, Changsha – 410 073
  • Dong Zhen College of Electronic Science and Techonology, National University of Defense Technology, Changsha – 410 073
  • Yongsheng Zhang College of Electronic Science and Techonology, National University of Defense Technology, Changsha – 410 073
  • Feng He College of Electronic Science and Techonology, National University of Defense Technology, Changsha – 410 073

DOI:

https://doi.org/10.14429/dsj.69.12096

Keywords:

Template-free, Micro-Doppler, feature extraction, vehicle classification, Hough transform, subjection probability

Abstract

The micro-Doppler signature is a time-varying frequency modulation imparted on radar echo caused by target’s micro-motion. To save the trouble of constructing template in the target classification, this paper investigates the micro-Doppler signature of wheeled and tracked vehicles and proposes a template-free classification method. Firstly, the echo signature is established and the micro-Doppler difference of these two kinds of targets is analysed. Secondly, some new micro-Doppler features are defined according to their difference. The new defined features are micro-Doppler bandwidth, micro-Doppler expansion rate and micro-Doppler peak number. According to the characteristic of the micro-Doppler in the time-frequency domain, we proposed to realise the feature extraction by Hough transformation. Lastly, template-free subjection functions are proposed to define the relationship between the features and the vehicles. By fuzzy comprehensive evaluation, the final classification result is obtained by combining the subjection probabilities together. Experimental results based on the simulated data and measured data are presented, which prove that the algorithm has good performance.

Author Biographies

Jin Guanghu, College of Electronic Science and Techonology, National University of Defense Technology, Changsha – 410 073

Dr Guanghu Jin received the BE, ME and PhD in electronics and information engineering from National University of Defense Technology, Changsha, in 2002, 2004 and 2009, respectively. He is currently an associate professor with the College of Electronic Science and Technology, National University of Defense Technology. His research interests include synthetic aperture radar (SAR), inverse SAR, and radar target recognition. 

Dong Zhen, College of Electronic Science and Techonology, National University of Defense Technology, Changsha – 410 073

Dr Zhen Dong received the PhD in electronics and information engineering from National University of Defense Technology, Changsha in 2001. He is currently a professor with the College of Electronic Science and Technology, National University of Defense Technology. His recent research interests include SAR system design and processing, Ground Moving Target Indication (GMTI), and digital beam-forming.

Yongsheng Zhang, College of Electronic Science and Techonology, National University of Defense Technology, Changsha – 410 073

Dr Yongsheng Zhang  received the PhD in electronics and information engineering from National University of Defense Technology in 2007. He is currently an associate professor with the College of Electronic Science and Technology, National University of Defense Technology. His current major research interests include SAR system design and SAR data processing.

Feng He, College of Electronic Science and Techonology, National University of Defense Technology, Changsha – 410 073

Dr Feng  He received the BS and PhD in signal processing from National University of Defense Technology, Changsha, in 1998 and 2005, respectively. He is currently an associate professor with the College of Electronic Science and Technology, National University of Defense Technology. His current major research interests include SAR processing, digital beam-forming, spacetime adaptive processing, and inverse SAR.

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Published

2019-09-17

How to Cite

Guanghu, J., Zhen, D., Zhang, Y., & He, F. (2019). Template free Micro Doppler Signature Classification for Wheeled and Tracked Vehicles. Defence Science Journal, 69(5), 517–527. https://doi.org/10.14429/dsj.69.12096

Issue

Vol. 69 No. 5: Special Issue on Microwave Absorbing Materials

Section

Electronics & Communication Systems

License

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