dc.contributor.authorTang, Liang Yao.
dc.date.accessioned2012-05-23T04:40:48Z
dc.date.available2012-05-23T04:40:48Z
dc.date.copyright2012en_US
dc.date.issued2012
dc.identifier.urihttp://hdl.handle.net/10356/49699
dc.description.abstractThis 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.en_US
dc.format.extent56 p.en_US
dc.language.isoenen_US
dc.rightsNanyang Technological University
dc.subjectDRNTU::Engineering::Electrical and electronic engineeringen_US
dc.titleTarget shape estimation using the frequency domain response of ultra-wide band pulsesen_US
dc.typeFinal Year Project (FYP)en_US
dc.contributor.supervisorSoh Cheong Boonen_US
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.description.degreeBachelor of Engineeringen_US


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