Improving localization accuracy of android's Fused Location Provider API using Kalman Filter

This paper intends to improve the location accuracy of Google's Fused Location Provider API, for Android handheld device using Kalman Filter. Since the Fused Location Provider was built for managing the battery and accuracy tradeoff between GPS provider and Network Provider, the estimate is likely to be noisy and the track obtained contains jumps. So by using Kalman filter, the jumps can be devoid, and a smooth track can be obtained. A real time experiment is carried out to check the improvements. The results show that the proposed location path is smoother than the path travelled using the conventional Fused Location Provider API.