NLOS identification based on UWB impulse radio measurements for precise indoor localization
Ngoh, Kimberlyn Mei Hui
Date of Issue2019
School of Electrical and Electronic Engineering
Indoor localization System or Indoor Positioning System (IPS) is a promising system where it can efficiently locate humans and objects in an indoor environment by conveniently using a mobile device such as a smart phone.  In recent years, IPS are commonly integrated into locations such as shopping malls, museums and even the supermarkets. The basis of an IPS is to precisely locate an object or a person and the presence of NLOS in a dense cluttered environment imposes a strong challenge to all the existing positioning systems. In this project, we will be using Ultra-wideband radio as the EM wave and the performance of the UWB will be analysed in detail as it is understood that the NLOS propagation of the EM waves can be degraded in a NLOS environment due to the presence of obstacles. Further study and experiments will be conducted as it is not easy to compare results from studies without any proper evaluation standards.  Experiments will be conducted and will be demonstrated in different locations and obstacles. Also, to fully exploit the measurements obtained, a MATLAB programming software is developed to analyse the received CIR measurements and ranging accuracy. Parameters such as the transmitter and receiver powers, mean distance and the path difference can also be retrieved from the MATLAB programming tool. The measured data shows that the range is positively biased, which is due to the NLOS propagation. This is in turn will degrade the positioning accuracy. Ray Tracing method will then be proposed to analyse the behaviour and direction of the multipaths signals in the experiment. Through the extensive experiments performed, the positioning inaccuracy and ranging errors due to the NLOS signal propagation can be concluded.
DRNTU::Engineering::Electrical and electronic engineering
Final Year Project (FYP)
Nanyang Technological University