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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