Performance Optimization of Indoor Localization Systems Through RF Characterisation and Power-Efficient Design

Accurately tracking the location of devices indoors is essential for many modern smart systems used in areas like health services, inventory management, and everyday automation. However, doing this indoors can be difficult due to obstacles and signal disruptions. This project explores ways to improve indoor tracking systems by testing and adjusting various setup components.

A small, low-cost computing platform was used to build an experimental setup that tested the performance of different wireless connection tools. We measured how well these tools worked at different distances to see how signal quality changed in real-world conditions. We also tested how signal delivery could be improved by adjusting some key hardware parts and introducing additional enhancements to improve reliability and reach.

To support multimedia use, a video feature was added for live viewing with minimal delay. Energy use was also studied, with efforts to make the system more efficient without losing performance.

In summary, the project presents practical steps to make indoor location systems more accurate and efficient, with promising applications in next-generation smart technologies.