A distance measurement algorithm based on RSSI hybrid filter and least square estimation

A distance measurement algorithm based on hybrid fdter and least squares dynamic estimation of environmental parameters is proposed for RSSI-based wireless sensor network localization in logarithmic normal distribution model. With anchor node as reference node, the RSSI value is optimized by applying hybrid filter based on mean filter, median filter and Gaussian filter. And the environmental parameters are estimated by using least squares method. Then the distance between the blind node and anchor node can be calculated by the RSSI value which is optimized by the hybrid filter. The simulation results show that the performance by using hybrid filter is superior to the performance in other methods by using single filter, the relative error of environment parameter estimation is less than 2.5%, and the relative distance measurement error within 100 m in open environments is less than 10%. Therefore the practical requirements of wireless sensor network localization and distance measurement is satisfied in the method.