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Group object structure and state estimation in the presence of measurement origin uncertainty.

Research output: Contribution in Book/Report/ProceedingsPaper

Published

Publication date2/09/2009
Host publicationStatistical Signal Processing, 2009. SSP '09. IEEE/SP 15th Workshop on
Pages473 - 476
Number of pages4
Original languageEnglish

Conference

ConferenceIEEE/SP 15th Workshop on Statistical Signal Processing
CityCardiff, Wales, UK
Period31/08/093/09/09

Conference

ConferenceIEEE/SP 15th Workshop on Statistical Signal Processing
CityCardiff, Wales, UK
Period31/08/093/09/09

Abstract

This paper proposes a technique for motion and group structure estimation of moving targets based on evolving graph networks in the presence of measurement origin uncertainty. The proposed method, through an evolving graph model, allows to jointly estimate the group target and the group structure with the uncertainty. The performance of the algorithm is evaluated and results with real ground moving target indicator data are presented.

Bibliographic note

"©2009 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE." "This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder." pp. 473-476 IEEE Catalog Number: CFP09SAP-CDR ISBN: 978-1-4244-2710-9 Library of Congress: 2008905779