I. Kalman Filtering
Develop state space model
Truth Model
Reduced Order Model (including disturbances)
Augmented Error States (internal inside the sensors, the biases)
Direction Cosine Maintenance
As we get gyro measurements need to update the rotation matrix
Euler Quaternions
II. Output Kalman Stuff
Error Dynamics (Gains of gyros, what are they, how do they change over time?)
Covariance Analysis
Simulation
III. Bayesian Filtering [Michael]
Understanding how a particle filter works
How do we create a particle filter tailored to our rocket launch
IV. Fixup Kalman Intro [Judy]
1D example
2D example
V. Rocket Simulator Investigation
Understand abilities of the system
Add features listed by Tim if needed
VI. Analysis
Compare to Simulated Data to Rocket Data in terms of performance
How do they differ
Understand why they differ
Change simulator