Research of RSSI indoor ranging algorithm based on Gaussian - Kalman linear filtering

Considering the complex propagation of RSSI signal along with perturbations, the accuracy of RSSI based indoor location cannot be guaranteed and it cannot achieve accurate positioning. To address this issue, this study proposes a filtering algorithm to process the RSSI signal. In particular, the CC2540 chip of TI company is used as the transmitter station. Then, a platform is constructed using the BLE low-power dissipation based Bluetooth technology. Subsequently, the RSSI signal can be collected under different environment and different locations from the station. Thereby, the formula of distance measuring can be obtained based on the parameters determined using the linear regression. Consequently, the RSSI signal is processed using the Gauss-Kalman filtering algorithm. Simulation results show that the performance of the proposed filtering algorithm is improved with respect to the perturbation rejection and accuracy as well as stability.