Application of information filter for sensor data fusion AIAA Paper 2000-0894
G Girija, Raol · Institutional Repository @ NAL (University of Southampton) · 2000
The application of information-based filtering algorithms for sensor fusion is studied. Both linear and nonlinear information filters are evaluated for their performance. The linear information filter (LIF) and extended information filter (EIF) are described. The application of both LIF and EIF to handle data in multisensor data fusion systems is subsequently discussed. The algorithms are implemented in C language on Alpha-Dec machine and validated using simulated data of a target. The algorithms are then used for fusion of real data from radars measuring the radial position and angular displacements of a vehicle. Some typical results are presented.