Tracking Filter Engineering: The Gauss-Newton and Polynomial Filters

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9781849195546: Tracking Filter Engineering: The Gauss-Newton and Polynomial Filters

The book provides a complete theoretical background, and then discusses in detail the Gauss-Newton filters. Of particular interest is a new approach to the tracking of maneuvering targets that is made possible by these filters. The book also covers the expanding and fading memory polynomial filters based on the Legendre and Laguerre orthogonal polynomials, and how these can be used in conjunction with Gauss-Newton.

Fourteen carefully constructed computer programs cover the theoretical background, and also demonstrate the power of the Gauss-Newton and polynomial filters. Two of these programs include Kalman, Swerling and Gauss-Newton filters, all three processing identical data. These demonstrate Kalman and Swerling instability to which Gauss-Newton is immune, and also the fact that if an attempt is made to forestall Kalman and Swerling instability by the use of a Q matrix, then they are no longer Cramér-Rao consistent and become noticeably less accurate than the always Cramér-Rao consistent Gauss-Newton filters.

This book will be of interest to filter engineering practitioners, to graduate-level newcomers wishing to learn about Gauss-Newton and polynomial filters and to university lecturers who might wish to include material on the Gauss-Newton and polynomial filters in graduate-level courses on tracking filter engineering.

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About the Author:

Norman Morrison was born in Dewetsdorp, South Africa. He received a dual-discipline PhD degree in Electrical Engineering and Applied Mathematics from Case Western Reserve University, Cleveland, Ohio in 1963, after which he worked at Bell Labs Ballistic Missile Defence in Whippany, New Jersey. He later served as Chief Scientist for the Harris Corporation in Cleveland, and in his last post in the USA, before returning to South Africa, he was Vice-President Technology at Knight-Ridder Communications in Miami, Florida. In South Africa he taught applied mathematics at the University of Cape Town for twenty years. He is currently employed by the South African Department of Defence, working on the development of advanced radar systems.

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Morrison, Norman
Published by Stylus Pub Llc (2013)
ISBN 10: 1849195544 ISBN 13: 9781849195546
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Book Description Stylus Pub Llc, 2013. HRD. Book Condition: New. New Book. Shipped from US within 10 to 14 business days. Established seller since 2000. Bookseller Inventory # T8-9781849195546

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Norman Morrison
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Book Description Institution of Engineering and Technology, United Kingdom, 2013. Hardback. Book Condition: New. Language: English . This book usually ship within 10-15 business days and we will endeavor to dispatch orders quicker than this where possible. Brand New Book. This book provides a complete discussion of the Gauss-Newton filters, including all necessary theoretical background. This book also covers the expanding and fading memory polynomial filters based on the Legendre and Laguerre orthogonal polynomials, and how these can serve as pre-filters for Gauss-Newton. Of particular interest is a new approach to the tracking of manoeuvring targets that the Gauss-Newton filters make possible. Fourteen carefully constructed computer programs demonstrate the use and power of Gauss-Newton and the polynomial filters. Two of these also include Kalman and Swerling filters in addition to Gauss-Newton, all three of which process identical data that have been pre-filtered by polynomial filters. These two programs demonstrate Kalman and Swerling instability, to which Gauss-Newton is immune, and also the fact that if an attempt is made to forestall Kalman/Swerling instability by the use of a Q matrix, then they cease to be Cramer-Rao consistent and become less accurate than the always Cramer-Rao consistent Gauss-Newton filters. Bookseller Inventory # BTE9781849195546

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Book Description The Institution of Engineering & Technology, 2013. Hardcover. Book Condition: Brand New. 320 pages. 9.25x6.25x1.30 inches. In Stock. Bookseller Inventory # zk1849195544

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Book Description 2012. Hardcover. Book Condition: New. Hardcover. For almost 50 years the Kalman filter has been the accepted approach to tracking filter engineering. At the start of the Satellite Age in 1958, Gauss-Newton tracking filters w.Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. 320 pages. 0.998. Bookseller Inventory # 9781849195546

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Book Description Institution for Engineering and Technology, 2012. Hardcover. Book Condition: New. book. Bookseller Inventory # M1849195544

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