Augmenting Extended Kalman Filters with Dynamic Temperature Derivative State Models
Augmenting Extended Kalman Filters with dynamic temperature derivative states eliminates dynamic thermal bias drift during rapid ramp conditions.
Discrete Kalman Process Noise Covariance Derivation from Inertial Bench Test Metrics
Bench Allan variance parameters convert to discrete Kalman process noise matrices by integrating state transition matrices over the sampling interval.
Modeling Non-Stationary Bias Drift across Thermal Gradients in Extended State Estimators for Tactical Sensors
Dynamic thermal gradients induce non-stationary bias drift in tactical sensors; state estimators must augment state vectors with thermal rate terms.
Quantifying Gyro Noise Coefficients from Allan Variance Data
Quantify gyro noise coefficients by fitting specific logarithmic slope asymptotes to overlapped Allan deviation curves gathered in thermally stabilized static rigs.
Kalman Filter Covariance Tuning Using Allan Variance Bias Metrics
Allan Variance bias stability metrics directly determine discrete Kalman process noise matrix entries to prevent filter divergence under non-stationary drift.