DefinePK

Abstract

The uses of detection location technology such as GPS and A-GPS have increased by day. However, this technology cause inefficient for indoor environment detection. This is due to the multipath fading and disability of signal to penetrate most of building materials. This study will focus on indoor location estimation which utilizes available signal which is Wi-Fi. Bayesian approach algorithm and MATLAB software are used to estimate the location in order to analyze indoor location and positioning via Wi-Fi by using one of the method named fingerprints. Location fingerprints is a technique of positioning that compares measured of Received Signal Strength (RSS) data to a database of expected values to estimate the location. The performance of Bayesian approach was evaluated and it has greatly performed in this location with low percentage of error. For the future works, the software can be improved by considering the user is in moving mode. It is worthwhile to explore the big variations in historical RSS information as to enhance the system estimation. A MATLAB coding which can automatically measure the RSS value of each access point should be considered in order to make the location estimation calculation easier.