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A Method of Object Identification Based on Gabor-Network and UWB

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

Abstract

UWB communication has obvious advantages in the aspect of transmission rate, power consumption and price cost. Therefore, it has become the focus of the academia and industry. For the low power consumption, high multipath resolution and strong penetrating power, UWB radar has great potential in person positioning, object detection and obstacle recognition. This paper takes the advantage of UWB radar’s environmental perception ability and combines it with Gabor transform in the scenes with different obstacle such as los, human body and metal barrier. We extract the UWB radar signal’s Gabor coefficients and combine them with neural network to identify categories and locations.

Keywords

UWB Gabor Neural network Identification 

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 Lab of Universal Wireless Communication, MOEBeijing University of Posts and TelecommunicationsBeijingChina

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