Title :
Multi-sensor distributed information fusion UKF filter for passive location
Author :
Mao, Lin ; Liu, Sheng
Author_Institution :
Dept. of Autom., Harbin Eng. Univ., Harbin, China
Abstract :
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.
Keywords :
Kalman filters; sensor fusion; state estimation; UKF filter; local sensors; multisensor distributed information fusion; passive location; state estimation values; system fusion estimation; Automation; Information filtering; Information filters; Nonlinear equations; Observers; Passive filters; Sensor fusion; Sensor systems; Stability; State estimation; Information Fusion; Passive Location; UKF Filter;
Conference_Titel :
Control and Decision Conference (CCDC), 2010 Chinese
Conference_Location :
Xuzhou
Print_ISBN :
978-1-4244-5181-4
Electronic_ISBN :
978-1-4244-5182-1
DOI :
10.1109/CCDC.2010.5498926
