Kamel, Ahmed (Kamel)

Improved Image Navigation and Registration (INR) Algorithms

Scheduled for presentation during the Regular Session "Estimation 1" (WeA3), Wednesday, April 3, 2019, 15:30−16:00, BL281.2

5th CEAS Conference on Guidance, Navigation and Control, April 3-5, 2019, Milano, Italy

This information is tentative and subject to change. Compiled on April 25, 2024

Abstract

Improved image navigation and registration algorithms are presented based on Kalman filter to allow near real-time delivery operation of level 1B data blocks and LRIT/HRIT subimages (instead of a whole image) to users. Kalman filter estimates attitude correction angles, orbit position relative to ideal geostationary orbit, and internal misalignments of imagers with single mirror or two mirrors. Kalman filter measurements consist of landmarks extracted from the imaging instrument level 1A data blocks, orbit maneuver delta V or coarse orbit from flight dynamics, and spacecraft inertial angular rate telemetry inserted in the imager wideband data. The state vector most significant improvement represents the effect of scan mirror axes orthogonality misalignment angle due to thermal variation and measurement errors. This improvement is shown to be in the north-south direction and equals to the orthogonality misalignment angle multiplied by the tangent of the east-west scan angle. The improved image navigation and registration algorithms are also applicable to systems with star and landmark measurements and systems with star only measurements.