Nielsen, JohnGuo, Yi Ran2020-01-282020-01-282020-01-21Guo, Y. R. (2020). Handheld Antenna Assessment Based on CV Ego-motion Position and Orientation Estimation of a Mobile Device (Master's thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca.http://hdl.handle.net/1880/1115705G wireless communication features the development of millimetre-wave antenna array and the beamforming technology. 5G antenna array will require regular calibration as its performance depends on the physical orientation and movement of the device, the nearfield electromagnetic wave scattering which changes over time, as well as the body absorption factors. Unfortunately, the conventional calibration method that needs to be carried out in an anechoic chamber is very inconvenient for performing frequent calibration, this method also lacks the flexibility to emulate the daily usage scenarios accurately. A potentially better solution is to devise a method to compute the dynamics of the device movement and then use it in the antenna array calibration. The underlying hypothesis is that if the pose of the mobile device can be estimated with sub-millimetre accuracy over a time epoch, then a quantitative assessment of the array performance would be possible. This thesis made use of a single antenna to demonstrate the alignment between the pose estimates obtained using Computer Vision techniques and the antenna phase measurements, thus providing a feasible solution to its future application in the assessment of the 5G antenna array.University of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission.Computer VisionAntennaPose EstimateEngineering--Electronics and Electricalmaster thesis10.11575/PRISM/37516