Fixed Interval Smoothing for State Space Models

2001
ISBN: 978-0-7923-7299-8
Verlag: Springer US

Buch, Englisch, Band 609, 119 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 383 g

Reihe: The Springer International Series in Engineering and Computer Science

Fixed-interval smoothing is a method of extracting useful information from inaccurate data. It has been applied to problems in engineering, the physical sciences, and the social sciences, in areas such as control, communications, signal processing, acoustics, geophysics, oceanography, statistics, econometrics, and structural analysis.
This monograph addresses problems for which a linear stochastic state space model is available, in which case the objective is to compute the linear least-squares estimate of the state vector in a fixed interval, using observations previously collected in that interval. The author uses a geometric approach based on the method of complementary models. Using the simplest possible notation, he presents straightforward derivations of the four types of fixed-interval smoothing algorithms, and compares the algorithms in terms of efficiency and applicability. Results show that the best algorithm has received the least attention in the literature.

• includes new material on interpolation, fast square root implementations, and boundary value models;
• is the first book devoted to smoothing;
• contains an annotated bibliography of smoothing literature;
• uses simple notation and clear derivations;
• compares algorithms from a computational perspective;
• identifies a best algorithm.

will be the primary source for those wanting to understand and apply fixed-interval smoothing: academics, researchers, and graduate students in control, communications, signal processing, statistics and econometrics.

Zielgruppe

Research

Autoren/Hrsg.

Weinert, Howard L.

Fachgebiete

• Mathematik | Informatik Mathematik Mathematik Interdisziplinär Systemtheorie
• Mathematik | Informatik Mathematik Stochastik Mathematische Statistik
• Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik Mikroprozessoren
• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik
• Mathematik | Informatik Mathematik Stochastik Wahrscheinlichkeitsrechnung
• Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Datenanalyse, Datenverarbeitung
• Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Kybernetik, Systemtheorie, Komplexe Systeme

Inhaltsverzeichnis

Ch. 1 Introduction.- 1.1 State Space Models.- 1.2 Fixed Interval Smoothing.- 1.3 Notes and References.- Ch. 2 Complementary Models.- 2.1 Discrete Case.- 2.2 Continuous Case.- 2.3 Notes and References.- Ch. 3 Discrete Smoothers.- 3.1 Backward-Forward Smoother.- 3.2 Forward-Backward Smoothers.- 3.3 Two-Filter Smoother.- 3.4 Square Root Implementations.- 3.5 Interpolated Case.- 3.6 Notes and References.- Ch. 4 Continuous Smoothers.- 4.1 Backward-Forward Smoother.- 4.2 Forward-Backward Smoothers.- 4.3 Two-Filter Smoother.- 4.4 Notes and References.- Ch. 5 Boundary Value Models.- 5.1 Complementary Model.- 5.2 Backward-Forward Smoother.- 5.3 Notes and References.- Annotated Bibliography.- Author Index.