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A gaussian particle filter based on differential algebra for spacecraft navigation

Valli, M, Armellin, R, Di Lizia, P and Lavagna, M (2013) A gaussian particle filter based on differential algebra for spacecraft navigation In: 63rd International Astronautical Congress 2012 (IAC 2012), 2012-10-01 - 2012-10-05, Naples, Italy.

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Nonlinear filtering plays an important role in various space-related applications and especially in orbit determination and navigation problems. Differential algebraic techniques are here proposed as a valuable tool to reduce the computational burden of Monte Carlo based filtering algorithms, and in particular of the ensemble Kalman filter, without losing accuracy. The performance of the proposed filter is assessed on typical problems in spacecraft navigation. The cases of low estimation frequency and nonlinear measurements are also considered. Copyright© (2012) by the International Astronautical Federation.

Item Type: Conference or Workshop Item (Conference Paper)
Subjects : Electronic Engineering
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering
Authors :
Valli, M
Armellin, R
Di Lizia, P
Lavagna, M
Date : July 2013
Copyright Disclaimer : Copyright© (2012) by the International Astronautical Federation All rights reserved.
Contributors :
ContributionNameEmailORCID Astronautical Federation (IAF),
Depositing User : Symplectic Elements
Date Deposited : 05 Dec 2016 15:04
Last Modified : 31 Oct 2017 18:59

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