Abstract
This thesis present the Modelling Database for Indoor Navigation System. The problem for indoor navigation system is the insufficient signal to locating the user by using outdoor locating technologies. The system only rely on the use of identification of nearby Wi-Fi access point. In order to create database for indoor navigation system, two technique were applied for this project and the best technique was chosen for further operation which are localization and navigation in order to create the indoor navigation system. The first technique is Inertia Measurement Units technique (IMU). The system consist of portable unit and fixed unit. Portable unit attached to the user and fixed unit used to monitor the movement of user. The system is equipped with three-dimensional axis by the used of gyroscope, accelerometer and magnetometer to determine the user's movement and sent the data to fixed unit through nearby access point. For fingerprint technique, Wi-Fi access point (AP) is required to create the reference point (RP) using fingerprint technique by collecting the RSSI value for each access point (AP). The method used is gather the data using Wi-Fi fingerprint Apps on smartphone. 22 reference point is created to cover the public corridor at B5-A13 Faculty of Chemical Engineering. The data collected four time in order to get the mean value of signal strength. The signal strength recorded by using Microsoft Excel so the data can be import and process in the MATLAB for localization and navigation purpose. This paper discuss application of fingerprint and IMU technique, and how it can be applied into the system as a database.
Metadata
Item Type: | Thesis (Degree) |
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Creators: | Creators Email / ID Num. Mohd Khairuddin, Sharafuddin UNSPECIFIED |
Contributors: | Contribution Name Email / ID Num. Thesis advisor Abdul Razak, Nur Idora UNSPECIFIED |
Divisions: | Universiti Teknologi MARA, Shah Alam > Faculty of Electrical Engineering |
Programme: | Bachelor of Engineering (Hons.) Electronics (Communication) |
Keywords: | Wi-Fi, Received Signal Strength Indicators (RSSI), Access Points (AP) |
Date: | 2015 |
URI: | https://ir.uitm.edu.my/id/eprint/81687 |
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