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Article

Classification of Personnel Targets with Baggage Using Dual-band Radar

by 1, 1 and 1,2,*
1
Department of Electronic Engineering, Tsinghua University, Beijing 100084, China
2
The Research Institute of Tsinghua University in Shenzhen, Shenzhen 518057, China
*
Author to whom correspondence should be addressed.
Academic Editors: Francesco Soldovieri, Raffaele Persico and Prasad S. Thenkabail
Remote Sens. 2017, 9(6), 594; https://doi.org/10.3390/rs9060594
Received: 29 April 2017 / Revised: 6 June 2017 / Accepted: 8 June 2017 / Published: 12 June 2017
(This article belongs to the Special Issue Radar Systems for the Societal Challenges)
In this paper, we aim to identify passengers with different baggage by analyzing the micro-Doppler radar signatures corresponding to different kinds of gaits, which is helpful to improve the efficiency of security check in airports. After performing time-frequency analysis on the X-band and K-band radar data, three kinds of micro-Doppler features, i.e., the period, the Doppler offset, and the bandwidth, are extracted from the time-frequency domain. By combining the features extracted by dual-band radar with the one-versus-one support vector machine (SVM) classifier, three kinds of gaits, i.e., walking with no bag, walking with only one carry-on baggage by one hand, and walking with one carry-on baggage by one hand and one handbag by another hand, can be accurately classified. The experimental results based on the measured data demonstrate that the classification accuracy using dual-band radar is higher than that using only a single-band radar sensor. View Full-Text
Keywords: micro-Doppler; dual-band fusion; time-frequency analysis; feature extraction; gait classification micro-Doppler; dual-band fusion; time-frequency analysis; feature extraction; gait classification
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MDPI and ACS Style

Yang, L.; Chen, G.; Li, G. Classification of Personnel Targets with Baggage Using Dual-band Radar. Remote Sens. 2017, 9, 594. https://doi.org/10.3390/rs9060594

AMA Style

Yang L, Chen G, Li G. Classification of Personnel Targets with Baggage Using Dual-band Radar. Remote Sensing. 2017; 9(6):594. https://doi.org/10.3390/rs9060594

Chicago/Turabian Style

Yang, Le, Gao Chen, and Gang Li. 2017. "Classification of Personnel Targets with Baggage Using Dual-band Radar" Remote Sensing 9, no. 6: 594. https://doi.org/10.3390/rs9060594

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