Expert coverage of the design and implementation of state estimation algorithms for tracking and navigation Estimation with Applications to Tracking and Navigation treats the estimation of various quantities from inherently inaccurate remote observations. It explains state estimator design using a b
Estimation with Applications to Tracking and Navigation
β Scribed by Yaakov Bar-Shalom, X. Rong Li, Thiagalingam Kirubarajan
- Publisher
- John Wiley Sons
- Year
- 2001
- Tongue
- English
- Leaves
- 581
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
This text, which also doubles as a set of lecture notes available in viewgraph version (downloadable as detailed below), presents the material from a graduate-level course on Theory and Computational Algorithms for Estimation offered in the Department of Electrical and Computer Engineering at the University of Connecticut. This course is a standard requirement in the departments M.S. program in Information, Communication and Decision Systems and is meant for second-semester graduate students. The prerequisites are a solid knowledge of linear systems and probability theory at the first-semester graduate level. These, as well as some additional useful material from Statistics, are summarized for ready reference in Chapter 1 to enable readers to acquire the necessary background or review it. This makes the text completely self-contained and accessible for a person with a typical B.S.E.E. degree or equivalent.
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Expert coverage of the design and implementation of state estimation algorithms for tracking and navigation Estimation with Applications to Tracking and Navigation treats the estimation of various quantities from inherently inaccurate remote observations. It explains state estimator design using a b
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