Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/38798
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dc.contributor.authorNguyen, Le Hieu.-
dc.date.accessioned2010-05-19T00:59:17Z-
dc.date.available2010-05-19T00:59:17Z-
dc.date.copyright2010en_US
dc.date.issued2010-
dc.identifier.urihttp://hdl.handle.net/10356/38798-
dc.description.abstractRanging and localization are some of the key applications in a wireless sensor network. This allows us to track people or objects inside an indoor environment. If good distances can be estimated, we can accurately convert them into locations estimation information and this implies if the signals captured are of good qualities. But unfortunately, signals are often corrupted by channel noise, synchronization, crystal clock timing drift problem etc. In this project, we are investigating how to process measured distances to refine on the accuracy of the final target locations.en_US
dc.format.extent35 p.en_US
dc.language.isoenen_US
dc.rightsNanyang Technological University-
dc.subjectDRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processingen_US
dc.titleRanging and localization weightings to refine target positionen_US
dc.typeFinal Year Project (FYP)en_US
dc.contributor.supervisorLaw Choi Looken_US
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.description.degreeBachelor of Engineeringen_US
dc.contributor.organizationA*STAR Institute for Infocomm Researchen_US
dc.contributor.researchPositioning and Wireless Technology Centreen_US
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Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)
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