Application of the Kalman filter to spherical discrete track smoothing and prediction
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Authors
Demetry, James S.
Hudson, R.E.
Subjects
Advisors
Date of Issue
1966
Date
9/1/1966
Publisher
Monterey, California. Naval Postgraduate School
Language
en_US
Abstract
This paper investigates the effectiveness of a method for circumventing the problem of nonlinear observation of a linear system's 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 subscript 2| subscript 1. The investigation reveals that the most critical factor in filter performance and stability is filter state initialization.
Type
Technical Report
Description
Series/Report No
Department
Identifiers
NPS Report Number
Technical Report/ Reserach Paper No. 70
Sponsors
NA
Funder
NA
Format
18 p. : ill. ; 29 cm.
Citation
Distribution Statement
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.