Mathematics of Data Fusion
Data fusion or information fusion are names which have been primarily assigned to military-oriented problems. In military applications, typical data fusion problems are: multisensor, multitarget detection, object identification, tracking, threat assessmen
- PDF / 25,655,475 Bytes
- 503 Pages / 439.37 x 666.142 pts Page_size
- 93 Downloads / 345 Views
THEORY AND DECIS ION LIBRARY
General Editors: W. Leinfellner (Vienna) and G. Eberlein (Munich) Series A: PhiIosophy and Methodology of the Social Sciences Series B: Mathematical and Statistical Methods Series C: Game Theory, Mathematical Programming and Operations Research Series D: System Theory, Knowledge Engineering and Problem Solving
SERIES B: MATHEMATICAL AND STATISTICAL METHODS VOLUME 37
Editor: H. J. Skala (Paderbom); Assistant Editor: M. Kraft (Paderbom); Editorial Board: J. Aczel (Waterloo, Ont.), G. Bamberg (Augsburg), H. Drygas (Kassel), W. Eichhom (Karlsruhe), P. Fishbum (Murray HiII, N.J.), D. Fraser (Toronto), W. Janko (Vienna), P. de Jong (Vancouver), T. Kariya (Tokyo), M. Machina (La JoIIa, Calif.), A. Rapoport (Toronto), M. Richter (Kaiserslautem), B. K. Sinha (CattonsviIIe, Md.), D. A. Sprott (WaterIoo, Ont.), P. Suppes (Stanford, CaIif.), H. Theil (St. Augustine, FIa.), E. TriIIas (Madrid), L. A. Zadeh (Berkeley, CaIif.).
Scope: The series focuses on the appIication of methods and ideas of logic, mathematics and statistics to the social sciences. In particular, formal treatment of social phenomena, the analysis of decision making, information theory and problems of inference wiII be central themes of this part of the Iibrary. Besides theoretical results, empiric al investigations and the testing of theoretical models of real worId problems wiII be subjects of interest. In addition to emphasizing interdiscipIinary communication, the series wiII seek to support the rapid dissemination of recent results.
The titles published in this series are listed at the end of this volume.
MATHEMATICS OF DATA FUS ION by
1. R. GOODMAN NCCOSC RDTE DIV, San Diego, California, V.S.A.
RONALD P. S. MAHLER Lockheed Martin Tactical Defences Systems, Saint Paul, Minnesota, V.S.A.
and HUNG T. NGUYEN Department of Mathematical Sciences, New Mexico State Vniversity, Las Cruces, New Mexico, V.S.A.
SPRINGER-SCIENCE+BUSINESS MEDIA B.V.
A C.I.P. Catalogue record for this book is available from the Library of Congress.
ISBN 978-90-481-4887-5 ISBN 978-94-015-8929-1 (eBook) DOI 10.1007/978-94-015-8929-1
Printed on acid-free paper
All Rights Reserved © 1997 Springer Science+Business Media Dordrecht Originally published by Kluwer Academic Publishers in 1997 Softcover reprint of the hardcover lst edition 1997 No part of the material protected by this copyright notice may be reproduced or utilized in any form Of by any means, electronic or mechanical, including photocopying, recording or by any information storage and retrieval system, without written permission from the copyright owner.
Contents Preface 1
1 2
Xl
Introduction 1.1 What is Data Fusion? . . . . . . . . . . . 1.2 Random Set Theory . . . . . . . . . . . . 1.3 Conditional and Relational Event Algebra
Introduction to Data Fusion Data Fusion and Standard Techniques 2.1 Data Fusion . . . . . . . . . . 2.1.1 Chapter Summary . . . . . . . 2.1.2 What is Data Fusion? . . . . . 2.1.3 The Subdisciplines of Data Fusion 2.1.4 Central vs. Distributed Fusion . .
