APPLICATION OF THE DALMAN FILTER TO SPHERICAL DISCRETE TRACK SMOOTHING AND PREDICTION.
Technical rept. research paper,
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The paper investigates the effectiveness of a method for circumventing the problem of nonlinear observation of a linear systems state variables in the Kalman filter discrete estimation scheme. The method employs a linearization of the nonlinear coordinate transformation, in this case cartesian to spherical. The performance of a filter designed by this method is observed as a function of measurement error, accuracy of filter initialization, and the relevance of the estimated initial error covariance, P sub 21. The investigation reveals that the most critical factor in filter performance and stability is filter state initialization. Author
- Theoretical Mathematics
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