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This Repository will be used for the Bachelor Thesis "Real-Time Kalman Filter based attitude and theoretic Aurora Borealis direction Estimation""

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PaulGlitchard/KalmanAttitudeAuroraEstimator

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KalmanAttitudeAuroraEstimator

This Repository will be used for the Bachelor Thesis "Real-Time Kalman Filter based attitude and theoretic Aurora Borealis direction Estimation""

Research

UKF

State: x_t Initial State: x_0 Control Input: u_t Process Noise: w_t Measurement: y_t Measurement Noise: n_t

Prediction Step

Transformation Function? Cholesky Decomposition

  1. Define AUgmented State and Covariance
  2. Compute Sigma Points and Weights
  3. Decompose Sigma Points
  4. Pass Through Motion Model
  5. Compute Resulting Mean and Covariance

Correction Step

  1. Generalized Gaussian Filter: Another KF Correction Derivation
  2. Define Augmented STate Covariance
  3. Compute Sigma Points and Weights
  4. Decompose Sigma Points
  5. Pass Through Motion Model
  6. Compute Resulting Mean, Covariance and Cross Covariance
  7. Fill in Generalized Gaussian Filter!

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This Repository will be used for the Bachelor Thesis "Real-Time Kalman Filter based attitude and theoretic Aurora Borealis direction Estimation""

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