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Publisher: Wiley
ISBN10: 0471184071 ISBN13: 9780471184072 DDC: 621.3848 LCC: TK7872 Edition: (cloth : alk. paper)

Notes

"A Wiley-Interscience publication." Includes bibliographical references (p. 456-463) and index. Pt. I. Tracking, Prediction, and Smoothing Basics. 1. g-h and g-h-k Filters. 2. Kalman Filter. 3. Practical Issues for Radar Tracking -- Pt. II. Least-Squares Filtering, Voltage Processing, Adaptive Array Processing, and Extended Kalman Filter. 4. Least-Squares and Minimum-Variance Estimates for Linear Time-Invariant Systems. 5. Fixed-Memory Polynomial Filter. 6. Expanding-Memory (Growing-Memory) Polynomial Filters. 7. Fading-Memory (Discounted Least-Squares) Filter. 8. General Form for Linear Time-Invariant System. 9. General Recursive Minimum-Variance Growing-Memory Filter (Bayes and Kalman Filters without Target Process Noise). 10. Voltage Least-Squares Algorithms Revisited. 11. Givens Orthonormal Transformation. 12. Householder Orthonormal Transformation. 13. Gram-Schmidt Orthonormal Transformation. 14. More on Voltage-Processing Techniques. 15. Linear Time-Variant System. 16. Nonlinear Observation Scheme and Dynamic Model (Extended Kalman Filter) 17. Bayes Algorithm with Iterative Differential Correction for Nonlinear Systems. 18. Kalman Filter Revisited -- App. Comparison of Swerling's and Kalman's Formulations of Swerling-Kalman Filters.

Classification

  • LCC: TK7872
  • Dewey Decimal: 621.3848

Book Details

  • Language: eng
  • Physical Description: xxii, 477 p. : ill. ; 25 cm.
  • Edition Info: (cloth : alk. paper)

Subjects

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