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