Apply Kalman filter to RFID Received Signal Strength processing for indoor location

In recent years, the expanding of wireless technologies have applied to indoor location. However, the results of indoor location are not accurate because of the signal instability caused by the multi-path, diffraction and scattering phenomena; In addition, the wireless signal is susceptible to environmental factors inference, such as wall, humidity and dust. In this paper, firstly, we use Kalman Filter to pre-treatment the Received Signal Strength Indicator (RSSI) of Radio Frequency Identification (RFID). Secondly, we use stand deviation method to further filter the signal noise. Thirdly, the combination methods is used to strengthen the features of signal. The experiment will compare Kalman filter with mean filter, the results will be contribute to indoor location.