Aircraft Prior Based on Primary Radar Data
The Bayesian approach described in the previous chapter is a recursive method that calculates the posterior state distribution at each measurement time from a distribution at the previous measurement time.
- PDF / 6,898,866 Bytes
- 124 Pages / 439.37 x 666.142 pts Page_size
- 68 Downloads / 270 Views
Samuel Davey Neil Gordon Ian Holland Mark Rutten Jason Williams
Bayesian Methods in the Search for MH370
SpringerBriefs in Electrical and Computer Engineering Signal Processing
Series editors Woon-Seng Gan, Singapore, Singapore C.-C. Jay Kuo, Los Angeles, USA Thomas Fang Zheng, Beijing, China Mauro Barni, Siena, Italy
More information about this series at http://www.springer.com/series/11560
Samuel Davey Neil Gordon Ian Holland Mark Rutten Jason Williams •
•
•
Bayesian Methods in the Search for MH370
Samuel Davey National Security and ISR Division Defence Science and Technology Group Edinburgh, SA Australia
Mark Rutten National Security and ISR Division Defence Science and Technology Group Edinburgh, SA Australia
Neil Gordon National Security and ISR Division Defence Science and Technology Group Edinburgh, SA Australia
Jason Williams National Security and ISR Division Defence Science and Technology Group Edinburgh, SA Australia
Ian Holland Cyber and Electronic Warfare Division Defence Science and Technology Group Edinburgh, SA Australia
ISSN 2191-8112 ISSN 2191-8120 (electronic) SpringerBriefs in Electrical and Computer Engineering ISSN 2196-4076 ISSN 2196-4084 (electronic) SpringerBriefs in Signal Processing ISBN 978-981-10-0378-3 ISBN 978-981-10-0379-0 (eBook) DOI 10.1007/978-981-10-0379-0 Library of Congress Control Number: 2015960765 © Commonwealth of Australia 2016. This book is published open access. Open Access This book is distributed under the terms of the Creative Commons AttributionNonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, duplication, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, a link is provided to the Creative Commons license and any changes made are indicated. The images or other third party material in this book are included in the work’s Creative Commons license, unless indicated otherwise in the credit line; if such material is not included in the work’s Creative Commons license and the respective action is not permitted by statutory regulation, users will need to obtain permission from the license holder to duplicate, adapt or reproduce the material. This work is subject to copyright. All commercial rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The pu
Data Loading...
