An Improved Indoor Location Technique Using Kalman Filtering on RSSI

Indoor positioning technique is used to trace location of entities within a non-space environment riding from the incapability of GPS to do so. Most of indoor localization techniques proposed by researchers to discover an optimized solution for indoor location tracking that has high precision and accuracy. This paper proposes an improved indoor location technique by implementing Trilateration and Kalman Filter that can manipulate noise signal reduced from raw Received Signal Strength Indicator (RSSI). Upon implementing the technique, observation and comparison are made to measure the effectiveness and reliability of enhanced Kalman Filter. Our analysis and finding shows that the enhanced indoor positioning technique has improved the accuracy tremendously.