Home
Updates
People
Projects
Opportunities
Publications
Contact
Resources
Light
Dark
Automatic
Computationally Efficient Non-Linear Kalman Filters for On-Board Space Vehicle Navigation
Sanat K. Biswas
January 2017
Cite
Type
Thesis
Related
State Estimation Methods in Navigation: Overview and Application
A Theoretical Comparison of NavIC and GPS RAIM Performance
GNSS Interference Source Tracking Using Kalman Filters
Particle Filter Based Approach for GNSS Interference Source Tracking: A Feasibility Study
A Quantified Approach of Predicting Suitability of Using the Unscented Kalman Filter in a Non-Linear Application
Cite
×