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Target Detection and Classification by UWB Communication Signal Based on Third-Order Cumulants

Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 246)

Abstract

We have taken an experimental study about a novel method of the feasibility of ultra-wideband (UWB) communication system to concealed obstacles detection and classification. The recognition of target can be achieved by received UWB-IR signals from the UWB communication system which is different from traditional method using UWB radar echoes. In this paper, we propose a third-order statistic method to extract features that are representative of the target types from the received signals. Then, support vector machine (SVM) is used to realize the obstacle identification. The detection performance is compared with that of feature extraction method based on statistical characteristics of received signal (Ru Ying et al., Globecom Workshops (GC Wkshps), 2012 IEEE;1389–1393, 2012; Junqin He et al., Globecom Workshops (GC Wkshps), 2012 IEEE, 1460–1463, 2012). According to the experiment based on real data collected by the received signals of UWB communication, the results indicate that the detection method based on third-order cumulant shows better noise immunity than that based on statistical characteristics.

Keywords

UWB communication Target detection Third-order cumulant Support vector machine 

Notes

Acknowledgment

This work was supported by NSFC (61171176).

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  1. 1.Key Laboratory of Universal Wireless Communication, Ministry of EducationBeijing University of Posts and TelecommunicationsBeijingChina

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