Abstract
A spacecraft terrain relative navigation system for low elevation orbit satellites is presented relying on measurements obtained from a synthetic aperture radar (SAR) that are fused with inertial measurements and attitude determination system data in a multiplicative extended Kalman filter. Techniques such as autofocusing and geocoding are employed to retrieve information from SAR images for incorporation into the navigation filter. Monte Carlo simulation results are presented in which actual filter performance is compared to predicted filter performance. Specifically, two test cases, with varied initial SAR antenna misalignment uncertainty, show that the SAR-based terrain relative navigation system is a valid approach to GPS-denied navigation.
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