Advances in Statistical Multisource-Multitarget Information Fusion
By: Ronald P. S. Mahler (author)Hardback
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This is the sequel to the 2007 Artech House title, Statistical Multisource-Multitarget Information Fusion. This book addresses the large number of significant advances that have appeared since the publication of the first book, both practical and theoretical. The book presents systematic integral and differential calculus for multisource-multitarget problems, providing a methodology for devising rigorous new techniques. It provides engineers and students with a comprehensive approach to multisensory-multitarget sensor management and resource management - Level 4 data fusion.
Ronald Mahler is a senior staff research scientist at Lockheed Martin Advanced Technology Laboratories in Eagan, MN. He earned his Ph.D. in mathematics from Brandeis University, Waltham, MA.
Introduction; Elements of Finite-Set Statistics; RFS Filters: Standard Measurement Model; RFS Filters for Unknown Backgrounds; RFS Filters for Nonstandard Measurement Models; Sensor, Platform, and Weapons Management
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- ID: 9781608077984
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