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.
Imu shoulder angle estimation: Effects of sensor-to-segment misalignment and sensor ori- entation error
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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.