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A Method of Target Detection and Identification Based on UWB and PSO-WNN

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

Abstract

UWB radar is widely used in target detection and identification because of its spectrum in range of GHz. A novel method of target detection based on Particle Swarm Optimization-based Wavelet Neural Network (PSO-WNN) and UWB is proposed. Using this method, we extract and analyze the characteristic parameters of the received signals and channel impulse responses in the communication systems from the view of UWB communications, then apply PSO-WNN to identify the target. According to the obtained results, this method is quite effective for target identification.

Keywords

UWB PSO Wavelet neural network (WNN) Target identification Channel characteristic parameters 

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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