A New Method of Target Identification in UWB Communication System Based on Smooth Pseudo Wigner Ville Distribution and Semi-supervised Clustering

  • Qiqi Tang
  • Ting Jiang
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 246)


Ultra Wideband (UWB) technology has been widely used for target identification with its strong penetrability, high resolution and good anti-interference ability. This paper proposes a new method to detect and classify target surrounded by foliage based on the real data collected from the UWB communication system. Different targets between the transmitter and receiver affect the signal differently, so the received signal contains lots of information about the target. We use smooth pseudo Wigner Ville (SPWVD) distribution to extract the feature vector of the signal and apply the semi-supervised method to realize the target identification. The experimental result shows that this method is very effective. It provides a potential way of target identification in normal UWB communication system.


UWB technology Target identification Smooth pseudo Wigner Ville distribution Semi-supervised clustering 



This work was supported by NSFC (61171176).


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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  1. 1.Key Lab of Universal Wireless CommunicationBeijing University of Posts & TelecommunicationsBeijingChina

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