Multi-sensor distributed information fusion UKF filter for passive location
Lin Mao, Sheng Liu · 2010
A new multi-sensor distributed UKF filter is proposed based on information fusion for nonlinear problems of measurement equation in passive location application. This algorithm uses UKF filter to calculate the state estimation values of local sensors respectively, and consequently the system fusion estimation is obtained by applying the distributed optimal fusion rule weighted by scales. The two-sensor simulation results show that the proposed algorithm can improve the accuracy of filter compared with the single sensor.