Proceedings of the 45th IEEE Conference on Decision and Control 2006
DOI: 10.1109/cdc.2006.377394
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Spacecraft Trajectory Estimation Using a Sampled-Data Extended Kalman Filter with Range-Only Measurements

Abstract: Public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing this collection of information. Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing this burden to Department of Defense, Washington Headquarters Services, Directorate for Info… Show more

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Cited by 3 publications
(2 citation statements)
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“…One of the simplest approaches is to use a single Kalman filter based on a single dynamical model [10,11]. However, these approaches may suffer from significant errors as a priori unknown maneuvers can cause filter divergence.…”
Section: Introductionmentioning
confidence: 99%
“…One of the simplest approaches is to use a single Kalman filter based on a single dynamical model [10,11]. However, these approaches may suffer from significant errors as a priori unknown maneuvers can cause filter divergence.…”
Section: Introductionmentioning
confidence: 99%
“…The problem of estimating the full state of a dynamical system based on limited measurements is of extreme importance in many applications [3]. When considering the nonlinear filtering problems, the common way is to use the extended Kalman filter (EKF) to substitute the standard Kalman filter (KF) which can provide an optimal solution in linear system.…”
Section: Introductionmentioning
confidence: 99%