Template free Micro Doppler Signature Classification for  Wheeled and Tracked Vehicles

Jin Guanghu; Dong Zhen; Yongsheng Zhang; Feng He

doi:10.14429/dsj.69.12096

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.

References

Yanbing L.; Lan D.; Hongwei L. Hierarchical classification of moving vehicles based on empirical mode decomposition of micro-Doppler signatures. IEEE Trans. Geosci. Remote Sens. 2013, 51(5), 3001-3013.

V. C. Chen; F. Li; S.-S. Ho; H. Wechsler. Analysis of micro-Doppler signatures. IEE Proc.-Radar Sonar Navig. 2003, 150(4), 271-276.

M. Rüegg; E. Meier; D. Nüesch. Vibration and rotation in millimeter wave SAR. IEEE Trans. Geosci. Remote Sens. 2007, 45(2), 293-304.

Cunsuo P.; Yan H.; Huiling H.; Shengheng L.; Nan Z. Micro-Doppler signal time-frequency algorithm based on STFRFT. Sensors. 2016, 16(10), 1559.

Jinhee P.; Rios J. J.; Taesup M.; Youngwook K. Micro-Doppler based classification of human aquatic cctivities via transfer learning of convolutional neural networks. Sensors. 2016, 16(12), 1990.

V. C. Chen; F. Li; S.-S. Ho; H. Wechsler. Micro-Doppler effect in radar: Phenomenon, model, and simulation study. IEEE Trans. Aerosp. Electron. Syst. 2006, 42(1), 2-21.

T. Thayaparan; S. Abrol; E. Riseborough; L. Stankovic; D. Lamothe; G. Duff. Analysis of radar micro-Doppler signatures from experimental helicopter and human data. IET Radar, Sonar Navig. 2007, 1(4), 289-299.

Y. Kim; H. Ling. Human activity classification based on micro- Doppler signatures using an artificial neural network. IEEE Antennas and Propagation Society International Symposium. 2008, San Diego, 1-4.

Y. Kim and H. Ling, Human activity classification based on micro-Doppler signatures using a support vector machine. IEEE Trans. Geosci. Remote Sens. 2009, 47(5), 1328-1337.

A. G. Stove; S. R. Sykes. A Doppler-based target classifier using linear discriminants and principle components. International Conference on Radar. 2003, Adelaide, 171-176.

Graeme E. S.; Karl W.; Chris J. B. Template based micro-Doppler signature classification. 3rd European Radar Conference. 2006, Manchester, 158-161.

Jan K.; Staffan G.; Nils-Uno J.; Jan G. Analysis of Doppler measurements of ground vehicles. IEEE international Radar Conference. 2005, Arlington, Virginia, 284-289S.

Gadd, J. Gustavsson, N.-U. Jonsson, N. Karlsson, and M. Wilow, "ARKEN", A measurement system for dynamic full-scale RCS measurements and ECM evaluations in operational environments. Antenna measurement techniques association (AMTA) 2003, Irvine Southern California, 2003.