Abstract:
Over the past decade, the indoor positioning system (IPS) technology has grown rapidly due to its high demand and convenience to real life applications like security surveillance, asset tracking, medical applications, and navigation. However, most of the current indoor positioning system entails considerable investment, insufficient accuracy, or large in size which stops indoor positioning system being universalised. Several of IPS technologies were investigated and cross compared in this thesis to find out the enhanced IPS solution at minimum cost, low complexity, high efficiency and reliable accuracy. The most common low cost IPS is network-based, which relies on a pre-existing infrastructure such as Wi-Fi, ZigBee, and Bluetooth. However, the coverage range and accuracy are often compromised in such systems. This thesis has described the development and design process of the system-on-chip (SoC) based indoor positioning system network, that offers a low cost, compact, power efficient and reliable accuracy wireless IPS network for general commercial or household facilities. The proposed IPS network is based on CC1111Fx SoC from Texas Instruments and utilises RSS-based positioning algorism to localise or track on the target of interest. The critical background working principles, conceptual ideas, cost analysis, hardware and software design and implementation processes have been elaborated in this master research thesis. Furthermore, an indoor positioning system network prototype was constructed to demonstrate the performances and viabilities of the proposed wireless indoor positioning system network design.