| Abstract | Improvements to the CAE FACS algorithm for compensating aircraft magnetic interference are outlined and demonstrated using data collected with the NAE North Star aircraft. The aircraft interference model is shown to contain some inherent linear dependencies, or multicollinearities, among the independent variables, leading to inaccurate coefficient estimates. Magnetic gradient is shown to cause a significant interference effect which can be modelled, and digitally compensated, in a manner similar to that for aircraft interference. Advanced regression techniques are applied to the problem, and lead to improved modelling for aircraft interference prediction by reducing coefficient sensitivity and providing more accurate individual coefficient estimates. |
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