Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/78403
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dc.contributor.authorNg, Benny Zi Hao
dc.date.accessioned2019-06-19T09:19:21Z
dc.date.available2019-06-19T09:19:21Z
dc.date.issued2019
dc.identifier.urihttp://hdl.handle.net/10356/78403
dc.description.abstractIndoor localization is used in various industries such as healthcare, robotics etc. However, classical methods such as GPS are not viable due to their costs and other limitations. state of the art methods such as optical motion capture has high accuracy in measurement, but it is complex, costly and requires calibration and it is greatly affected by lighting. This project explores indoor positioning using ultra-wideband with Kalman filters for its high accuracy in localization and ability to implement TDMA to measure multiple transmitters. The UWB sensor network consists of 2 mobile nodes attached to a pendulum setup and 4 anchor nodes, Decawave DWM1000 are utilized for distance estimation between 2 nodes. The motion capture system was used as a benchmark to improve the UWB system. The RMSE was calculated and the Results show that the accuracy of tracking produced the sensor network can provide coordinates with errors in the millimetre domain. The main advantage of the system is its cost, and compact form factor, when compared to more expensive systems such as the optical motion analysis system.en_US
dc.format.extent52 p.en_US
dc.language.isoenen_US
dc.rightsNanyang Technological University
dc.subjectDRNTU::Engineering::Electrical and electronic engineeringen_US
dc.titleIndoor wireless localization with Ultrawide band sensorsen_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 Engineering (Electrical and Electronic Engineering)en_US
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Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)
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