Distributed tracking with sequential Monte Carlo methods for manoeuvrable sensors

MH Jaward, DR Bull, CN Canagarajah

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

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Nonlinear distributed tracking for a single target is addressed in this paper. This problem consists of tracking a target of interest while moving the sensors to `best' positions according to an critera appropriate for the problem. Both target tracking and manoeuvring of sensors are carried out jointly using a novel Sequential Monte Carlo technique. The proposed technique is illustrated using a bearing-only problem and simulations are used to compare the performance of the proposed technique with distributed tracking using fixed sensors.
Translated title of the contributionDistributed tracking with sequential Monte Carlo methods for manoeuvrable sensors
Original languageEnglish
Title of host publicationIEEENonlinear Statistical Signal Processing Workshop 2006, Cambridge, UK
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages113 - 116
Number of pages4
ISBN (Print)9781424405817, 1424405815
Publication statusPublished - Sep 2006
EventNonlinear Statistical Signal Processing Workshop - Cambridge, United Kingdom
Duration: 1 Sep 2006 → …


ConferenceNonlinear Statistical Signal Processing Workshop
Country/TerritoryUnited Kingdom
Period1/09/06 → …

Bibliographical note

Rose publication type: Conference contribution

Sponsorship: This work forms a part of the DIF-DTC project whose funding and support is gratefully acknowledged.

Terms of use: Copyright © 2006 IEEE. Reprinted from IEEE Nonlinear Statistical Signal Processing Workshop 2006.

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