Indoor reduction of noise in RF signal with Kalman Filter

The number of multi-storey building complex is increasing every day. Nowadays, widely used in the navigation system´s position in the open space is provided by Global Positioning Satellite System GNSS. Unfortunately, the direct use of GNSS systems in indoor areas is not possible. Many technologies in the field of indoor location determination (Wireless, RF(Radio Frequency), Bluetooth, ...) have been used. This article aims to develop a minimal cost indoor positioning system. The proposed system to avoid the cost (to capture the minimum cost) to RSSI (Received Signal Strength Indicator) value using the integrated high cost of communication is used. Is not very much affected by noise RSSI information in the system used in the study. Is of vital importance to reduce signal noise projects naturally. Kalman filter system for reducing noise signal is added. The adjusted value of the noise signal in the article and the values passed to the Kalman Filter will be examined and compared.