Fusion of RSSI and TDoA Measurements from Wireless Sensor Network for Robust and Accurate Indoor Localization

This paper proposes an algorithm that fuses Time Difference of Arrival (TDoA) and Received Signal Strength Indication (RSSI) measurements. The fusion is performed in a centralized scheme, which uses mesh topology for the propagation of RSSI measurements. The wireless acoustic sensor network is equipped with RF transceivers that can measure signal strength. Adding RSSI measurements to the localization algorithm has no effect on the hardware complexity. Through the use of training,RSSI measurements are transformed into distances. The algorithm is then able to use RSSI measurements in place of any missing TDoA measurement. The algorithm is tested by experimental setup. The experiment shows that the proposed algorithm increases performance of distance estimation and localization compared to techniques, which relies solely on RSSI or TDoA measurements.