Asynchronous track algorithm using TDOA/FDOA measurements in the distributed sensor network

This paper proposes a target tracking algorithm using asynchronous TDOA (Time Difference of Arrival) and FDOA(Frequency Difference of Arrival) measurements for a single target in a distributed sensor network. A conventional algorithm, target localization through TDOA measurements cannot estimate target position when the number of TDOA measurements are not enough for localization at the same time. Thereby, track initialization time is delayed and track accuracy deteriorates in case of that probability of measurements detection for each sensor is low. Our algorithm uses TDOA and FDOA measurements at the different time to compute the position and velocity estimates. Through computer simulation trials, the validity of our algorithm is confirmed.