Tracking and Kalman Filtering Made Easy
Tracking and Kalman Filtering Made Easy by Eli Brookner, published by Wiley-Interscience on April 17, 1998, is a comprehensive guide that simplifies the concepts of radar tracking and Kalman filtering. This 504-page book provides an accessible treatment of various filtering techniques, including Kalman, Swerling, and Bayes filters, applicable to both linear and nonlinear ballistic and satellite tracking systems. The text emphasizes the physical and geometric aspects of radar filters while presenting the underlying mathematics in a clear manner.
Readers will find a wealth of practical information, including design equations, procedures, and curves that facilitate the quick design and performance testing of tracking filters. The book addresses a range of challenges such as clutter returns, redundant target detections, and data association, among others. It also introduces useful techniques like the moving target detector (MTD) clutter rejection method. With clear explanations and numerous problems, solutions, and illustrations, this edition serves as a valuable resource for engineers, scientists, and mathematicians engaged in tracking filter design, making it suitable for senior-undergraduate and first-year graduate courses.
Official synopsis Publisher
A unique, easy-to-use guide to radar tracking and Kalmanfiltering
This book presents the first truly accessible treatment of radartracking; Kalman, Swerling, and Bayes filters for linear andnonlinear ballistic and satellite tracking systems; and thevoltage-processing methods (Givens, Householder, and Gram-Schmidt)for least-squares filtering to correct for computer round-offerrors. Tracking and Kalman Filtering Made Easy emphasizes thephysical and geometric aspects of radar filters as well as thebeauty and simplicity of their mathematics. An abundance of designequations, procedures, and curves allows readers to design trackingfilters quickly and test their performance using only a pocketcalculator!
The text incorporates problems and solutions, figures andphotographs, and astonishingly simple derivations for variousfilters. It tackles problems involving clutter returns, redundanttarget detections, inconsistent data, track-start and track-droprules, data association, matched filtering, tracking with chirpwaveform, and more. The book also covers useful techniques such asthe moving target detector (MTD) clutter rejection technique. Allexplanations are given in clear and simple terms, including:
* The voltage-processing approach to least-squares filtering
* The correlation between such procedures as discrete orthogonalLegendre polynomial (DOLP) and voltage processing
* The mathematical sameness of tracking and estimation problems onthe one hand, and sidelobe canceling and adaptive array processingon the other
* The massively parallel systolic array sidelobe canceler processor
* Important computational accuracy issues
* An appended comparison between the Kalman and the Swerlingfilters, written by Dr. Peter Swerling
Tracking and Kalman Filtering Made Easy is invaluable forengineers, scientists, and mathematicians involved in trackingfilter design. Its straightforward approach makes it an excellenttextbook for senior-undergraduate and first-year graduate courses.
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