Tracking and Kalman Filtering Made Easy

E Brookner (Autor)

Software / Digital Media

504 Seiten

2002
John Wiley & Sons Inc (Hersteller)
978-0-471-22419-8 (ISBN)

Infos

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. This book is about radar tracking and the use of filters, particularly Kalman Filters.

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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.

Autor

ELI BROOKNER, DSc, is a Consulting Scientist with Raytheon Company in Sudbury, Massachusetts. Over a long and distinguished career, he has conceived and/or designed numerous radar systems, including Wake Measurement Radar and the first TWT radar put into space. A world--renowned teacher and lecturer, he is editor and principal contributor of three previous books: Radar Technology, Aspects of Modern Radar, and Practical Phased Array Antenna Systems.

Inhalt

TRACKING, PREDICTION, AND SMOOTHING BASICS. g and g--h--k Filters. Kalman Filter. Practical Issues for Radar Tracking. LEAST--SQUARES FILTERING, VOLTAGE PROCESSING, ADAPTIVE ARRAY PROCESSING, AND EXTENDED KALMAN FILTER. 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. Appendix. Problems. Symbols and Acronyms. Solution to Selected Problems. References. Index.

Produkt-Details

• Erscheint lt. Verlag: 28.2.2002
• Verlagsort: New York
• Sprache: englisch
• Gewicht: 10 g
• Themenwelt: Technik ► Nachrichtentechnik
• ISBN-10: 0-471-22419-7 / 0471224197
• ISBN-13: 978-0-471-22419-8 / 9780471224198
• Zustand: Neuware