Algorithm for the Detection and Isolation of Multiple Corrupt Measurements in Vision Systems

N.A. Baine, K.S. Rattan

Abstract:	This paper proposes an algorithm for the detection and exclusion of multiple errors in measurements in a vision navigation system. FDE (Fault Detection and Exclusion) is an essential ability for aviation navigation systems. This algorithm utilizes iterative parity vector tests and Bayes’ Rule to determine the number and location of bad measurements in a given set. Monte Carlo experiments are used to show the convergence of the test and ability to determine the number of bad measurements.
Published in:	Proceedings of the 2012 International Technical Meeting of The Institute of Navigation January 30 - 1, 2012 Marriott Newport Beach Hotel & Spa Newport Beach, CA
Pages:	1690 - 1696
Cite this article:	Baine, N.A., Rattan, K.S., "Algorithm for the Detection and Isolation of Multiple Corrupt Measurements in Vision Systems," Proceedings of the 2012 International Technical Meeting of The Institute of Navigation, Newport Beach, CA, January 2012, pp. 1690-1696.
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