Indoor location and position tracking system using UWB-IR and IMU

This report presents the research and test results regarding an indoor positioning system by utilising the integration of IMU sensors and UWB devices. Madgwick’s filter algorithm is used to correct the orientation of the sensor, and by applying the integral method, the displacement of the sensor is...

Full description

Bibliographic Details
Main Author: Wang, Kailun
Other Authors: Law Choi Look
Format: Final Year Project (FYP)
Language:English
Published: Nanyang Technological University 2022
Subjects:
Online Access:https://hdl.handle.net/10356/157283
Description
Summary:This report presents the research and test results regarding an indoor positioning system by utilising the integration of IMU sensors and UWB devices. Madgwick’s filter algorithm is used to correct the orientation of the sensor, and by applying the integral method, the displacement of the sensor is calculated from the acceleration. The UWB devices were used as a subsystem to support the output from the IMU subsystem. The entire system was deployed on the Linux operation system in Raspberry Pi. It is found that although the algorithm and theory are feasible, the system operation performance is primarily affected by the system latency, resulting in the IMU subsystem failing to output satisfactory results. On the other hand, the UWB subsystem performs well and largely determines the whole system’s performance.