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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sg-ntu-dr.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 |
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DRNTU::Engineering::Electrical and electronic engineering Tang, Liang Yao. Target shape estimation using the frequency domain response of ultra-wide band pulses |
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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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Soh Cheong Boon |
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Soh Cheong Boon Tang, Liang Yao. |
format |
Final Year Project |
author |
Tang, Liang Yao. |
author_sort |
Tang, Liang Yao. |
title |
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_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_sort |
target shape estimation using the frequency domain response of ultra-wide band pulses |
publishDate |
2012 |
url |
http://hdl.handle.net/10356/49699 |
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1772827355359739904 |