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Statistical Multisource-Multitarget Information Fusion Ronald Mahler

Statistical Multisource-Multitarget Information Fusion By Ronald Mahler

Statistical Multisource-Multitarget Information Fusion by Ronald Mahler


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Summary

Information fusion is the process of gathering, filtering, correlating and integrating relevant information from various sources into one representational format. This work provides practitioners with an understanding of finite-set statistics (FISST). It helps professionals use FISST to create efficient information fusion systems.

Statistical Multisource-Multitarget Information Fusion Summary

Statistical Multisource-Multitarget Information Fusion by Ronald Mahler

Information fusion is the process of gathering, filtering, correlating and integrating relevant information from various sources into one representational format. It is used by signal processing engineers and information operations specialists to help them make decisions involving tasks like sensor management, tracking, and system control. This comprehensive resource provides practitioners with an in-depth understanding of finite-set statistics (FISST) - a recently developed method that has been gaining much attention among professionals because it unifies information fusion, utilizing statistics that most engineers learn as undergraduates. The book helps professionals use FISST to create efficient information fusion systems that can be implemented to address real-world challenges in the field.

About Ronald Mahler

Ronald P.S. Mahler is a staff scientist at Lockheed Martin MS2 Tactical Systems with over 25 years of industry experience. He earned his B.E.E. degree at the University of Minnesota and his Ph.D. in Mathematics at Brandeis University. He has served on technology planning workshops for many prominent organizations, including the Electronics Division of the Army Research Office. Dr. Mahler was also a reviewer of the DARPA Dynamic Data Base (DDB) project.

Table of Contents

Unified Single-Target Multisource Integration - Conventional Single-Sensor, Single-Target Tracking. General Data Modeling. Unambiguously Generated Ambiguous (UGA) Measurements. Ambiguously Generated Ambiguous (AGA) Measurements. Ambiguously Generated Unambiguous (AGU) Measurements. Finite-Set Measurements. Unified Multitarget Multisource Integration - Conventional Multisource-Multitarget Information Fusion. Multitarget Differential and Integral Calculus. Multitarget Markov Densities. The Multisource-Multitarget Bayes Filter. Approximate Multitarget Filtering - Multitarget Particle Approximation. Multitarget-Moment Approximation.

Additional information

NPB9781596930926
9781596930926
1596930926
Statistical Multisource-Multitarget Information Fusion by Ronald Mahler
New
Hardback
Artech House Publishers
2007-02-28
888
N/A
Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
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