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  • 1
    Online Resource
    Online Resource
    Tracking and Kalman filtering made easy (1998)
    [Place of publication not identified] : Wiley
    Details
    UID:
    almatuudk_9923020641502884
    Format: 1 online resource (XXIII, 463 p.)
    Edition: Reissue
    ISBN: 1-280-55638-2 , 9786610556380 , 0-470-30528-2 , 0-471-22419-7
    Content: This book is about radar tracking and the use of filters, particularly Kalman Filters. Tracking of moving targets, such as satellites, is complicated by the introduction of errors into the measurements resulting from noise and non-uniform vehicle motion. Such errors are smoothed out by filters. The book covers these filters from very simple, physical and geometric approaches.
    Note: Bibliographic Level Mode of Issuance: Monograph , 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. , English
    Additional Edition: ISBN 0-471-18407-1
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    TU Berlin
  • 2
    Online Resource
    Online Resource
    Tracking and Kalman filtering made easy / (1998)
    New York :Wiley,
    Details
    UID:
    edocfu_9959328179502883
    Format: 1 online resource (xxii, 477 pages) : , illustrations
    Edition: Electronic reproduction. [Place of publication not identified] : HathiTrust Digital Library, 2010.
    ISBN: 0471184071 , 9780471184072 , 0471224197 , 9780471224198 , 1280556382 , 9781280556388 , 9786610556380 , 6610556385 , 0470305282 , 9780470305287
    Note: 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. , Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002. , English.
    Additional Edition: Print version: Brookner, Eli, 1931- Tracking and Kalman filtering made easy. New York : Wiley, ©1998 ISBN 0471184071
    Language: English
    DOI: 10.1002/0471224197
    URL: https://onlinelibrary.wiley.com/doi/book/10.1002/0471224197
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    Open Access Request
    FU Berlin
  • 3
    Online Resource
    Online Resource
    Tracking and Kalman filtering made easy / (1998)
    New York :Wiley,
    Details
    UID:
    almafu_9959328179502883
    Format: 1 online resource (xxii, 477 pages) : , illustrations
    Edition: Electronic reproduction. [Place of publication not identified] : HathiTrust Digital Library, 2010.
    ISBN: 0471184071 , 9780471184072 , 0471224197 , 9780471224198 , 1280556382 , 9781280556388 , 9786610556380 , 6610556385 , 0470305282 , 9780470305287
    Note: 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. , Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002. , English.
    Additional Edition: Print version: Brookner, Eli, 1931- Tracking and Kalman filtering made easy. New York : Wiley, ©1998 ISBN 0471184071
    Language: English
    DOI: 10.1002/0471224197
    URL: https://onlinelibrary.wiley.com/doi/book/10.1002/0471224197
    URL: https://onlinelibrary.wiley.com/doi/book/10.1002/0471224197
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    Open Access Request
    HU Berlin
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