Application of information filter for sensor data fusion AIAA Paper 2000-0894

Girija, G and Raol, JR (2000) Application of information filter for sensor data fusion AIAA Paper 2000-0894. In: 38th Aerospace Sciences Meeting amp; Exhibit, 10-13 Jan 2000, Reno, NV.

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Abstract

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.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Copyright for this paper belongs to AIAA
Uncontrolled Keywords: Multisensor fusion;Data processing;Data bases;Kalman filters;Linear information filter
Subjects: AERONAUTICS > Aeronautics (General)
Depositing User: Mr. N A
Date Deposited: 12 Aug 2008
Last Modified: 24 May 2010 04:09
URI: http://nal-ir.nal.res.in/id/eprint/995

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