Target shape estimation using the frequency domain response of ultra-wide band pulses

This report aims to study the feasibility of Ultra-Wideband (UWB) for the classification of different shapes. This report also summarizes the findings and evaluates the accuracy of the technique by studying how the UWB pulses travel and is being reflected. The UWB signal waveforms are captured u...

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Bibliographic Details
Main Author: Tang, Liang Yao.
Other Authors: Soh Cheong Boon
Format: Final Year Project (FYP)
Language:English
Published: 2012
Subjects:
Online Access:http://hdl.handle.net/10356/49699
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author Tang, Liang Yao.
author2 Soh Cheong Boon
author_facet Soh Cheong Boon
Tang, Liang Yao.
author_sort Tang, Liang Yao.
collection NTU
description This report aims to study the feasibility of Ultra-Wideband (UWB) for the classification of different shapes. This report also summarizes the findings and evaluates the accuracy of the technique by studying how the UWB pulses travel and is being reflected. The UWB signal waveforms are captured using the Agilent Oscilloscope through a MATLAB program. These signal waveforms are analyzed and trimmed for poles extractions. The poles are derived using the Hankel Matrix’s singular value decomposition technique. These poles then serve as inputs for neural networks classifiers for shapes.
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spelling ntu-10356/496992023-07-07T15:57:53Z Target shape estimation using the frequency domain response of ultra-wide band pulses Tang, Liang Yao. Soh Cheong Boon School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering This report aims to study the feasibility of Ultra-Wideband (UWB) for the classification of different shapes. This report also summarizes the findings and evaluates the accuracy of the technique by studying how the UWB pulses travel and is being reflected. The UWB signal waveforms are captured using the Agilent Oscilloscope through a MATLAB program. These signal waveforms are analyzed and trimmed for poles extractions. The poles are derived using the Hankel Matrix’s singular value decomposition technique. These poles then serve as inputs for neural networks classifiers for shapes. Bachelor of Engineering 2012-05-23T04:40:48Z 2012-05-23T04:40:48Z 2012 2012 Final Year Project (FYP) http://hdl.handle.net/10356/49699 en Nanyang Technological University 56 p. application/pdf
spellingShingle DRNTU::Engineering::Electrical and electronic engineering
Tang, Liang Yao.
Target shape estimation using the frequency domain response of ultra-wide band pulses
title Target shape estimation using the frequency domain response of ultra-wide band pulses
title_full Target shape estimation using the frequency domain response of ultra-wide band pulses
title_fullStr Target shape estimation using the frequency domain response of ultra-wide band pulses
title_full_unstemmed Target shape estimation using the frequency domain response of ultra-wide band pulses
title_short Target shape estimation using the frequency domain response of ultra-wide band pulses
title_sort target shape estimation using the frequency domain response of ultra wide band pulses
topic DRNTU::Engineering::Electrical and electronic engineering
url http://hdl.handle.net/10356/49699
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