NOVEL NON-COHERENT DETECTION METHODS FOR INDOOR FMCW RADIO TRACKING SYSTEMS

Abstract

Indoor localization systems attract great attention from both academia and industry. However, most existing indoor localization technologies have their own limitations. Either they require user to stay within the line-of-sight of the system (e.g., Kinect) or users have to wear specific wireless devices to get tracked (e.g., radio frequency (RF) systems).

This thesis focuses on development of indoor frequency-modulation-continuous-wave (FMCW) radio tracking system, which can track an indoor user without requiring him/her to wear communicating devices or staying in the line-of-sight of devices.

First, we develop a simulation model of the system. We then obtain a set of tracking results under various channels and find appropriate parameters for securing good tracking performances. Secondly, we propose two novel non-coherent constant-false-alarm-rate (CFAR) detection methods for the system. Parametric studies are conducted on the proposed methods and performances are evaluated under different channels of AWGN, line-of-sight (LOS) and non-line-of-sight (NLOS).