Tracking and Kalman filtering made easy:
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Bibliographic Details
Format: Electronic eBook
Language:English
Published: New York Wiley c1998
Subjects:
Online Access:FRO01
TUM01
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Item Description:"A Wiley-Interscience publication."
Includes bibliographical references (p. 456-463) and index
G-h and g-h-k filters -- Kalman filter -- Practical issues for radar tracking -- Least-squares and minimum-variance estimates for linear time-invariant systems -- Fixed-memory polynomial filter -- Expanding-memory (growing-memory) polynomial filters -- Fading-memory (discounted least-squares) filter -- General form for linear time-invariant system -- General recursive minimum-variance growing-memory filter (Bayes and Kalman filters without target process noise) -- Voltage least-squares algorithms revisited -- Givens orthonormal transformation -- Householder orthonormal transformation -- Gram-Schmidt orthonormal transformation -- More on voltage-processing techniques -- Linear time-variant system -- Nonlinear observation scheme and dynamic model (extended Kalman filter) -- Bayes algorithm with iterative differential correction for nonlinear systems -- Kalman filter revisited
Physical Description:1 Online-Ressource (xxii, 477 p.)
ISBN:0471224197
9780471224198

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