Title :
Nonlinear Fusion of Multiple Sensors with Missing Data
Author :
Housfater, Alon Shalev ; Zhang, Xiao-Ping ; Zhou, Yifeng
Author_Institution :
Dept. of Electr. & Comput. Eng., Ryerson Univ., Toronto, Ont.
Abstract :
We introduce a new algorithm, multiple imputation particle filter, to solve the problem of data fusion with missing data in nonlinear state space models. The new algorithm is then applied to the problem of fusing observations by multiple asynchronous radars. Simulated data is used demonstrate the effectiveness and performance of the fusing algorithm
Keywords :
particle filtering (numerical methods); radar signal processing; sensor fusion; data fusion; multiple asynchronous radars; multiple imputation particle filter; multiple sensors; nonlinear fusion; nonlinear state space models; Data engineering; Electronic mail; Filtering; Nonlinear systems; Particle filters; Radar; Research and development; Sensor fusion; Signal processing algorithms; State-space methods;
Conference_Titel :
Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on
Conference_Location :
Toulouse
Print_ISBN :
1-4244-0469-X
DOI :
10.1109/ICASSP.2006.1661130
