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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
