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- W2968603642 abstract "There are many estimation problems where both impulsive measurement and/or process noise occurs. Handling outliers in the data has been a heuristic process. Recently, a recursive estimator for linear systems with additive measurement and process uncertainties modeled as heavy-tailed Cauchy probability density functions has been developed. This new scheme directly handles impulsive noise. In fact, for Cauchy noise, this estimator produces the conditional mean and is thereby a minimum variance estimator. To demonstrate its performance relative to a Kalman filter, this new estimator is applied to a planetary flyby, where the star-tracker measurements are impulsive due to the electromagnetic radiation characteristics of the planet." @default.
- W2968603642 created "2019-08-22" @default.
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- W2968603642 date "2019-07-01" @default.
- W2968603642 modified "2023-09-22" @default.
- W2968603642 title "Planetary Flyby Attitude Estimation in an Intense Radiation Background Based on Cauchy Uncertainty" @default.
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- W2968603642 doi "https://doi.org/10.1109/med.2019.8798583" @default.
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