A polynomial optimization method with reduced-order weighting and zero-solution avoidance achieves roughly three orders of magnitude better accuracy in angles-only initial relative orbit determination than baseline approaches.
Three-axis attitude determination from vector observations
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KCKF is a computationally lighter variant of the standard CKF that uses expanded and simplified prediction equations to cut FLOPs and runtime by 15-19% while preserving attitude estimation accuracy in AHRS.
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Robust Angles-Only Initial Relative Orbit Determination Using Polynomial Optimization
A polynomial optimization method with reduced-order weighting and zero-solution avoidance achieves roughly three orders of magnitude better accuracy in angles-only initial relative orbit determination than baseline approaches.
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A Lightweight Cubature Kalman Filter for Attitude and Heading Reference Systems Using Simplified Prediction Equations
KCKF is a computationally lighter variant of the standard CKF that uses expanded and simplified prediction equations to cut FLOPs and runtime by 15-19% while preserving attitude estimation accuracy in AHRS.