Area based indoor tracking algorithm based on sequence detection and maximum likelihood metrics

This paper introduces a new sequence-detection method with maximum-likelihood-metrics for user movement tracking. Our new algorithm utilizes reference data and measured received signal strength indicator (RSSI) data to search for the most likely movement paths represented as sequences of indoor zones. We demonstrate that the proposed modification can bring about a significant improvement of user movement path estimation compared to our original method.