Abstract
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 contribution | Distributed tracking with sequential Monte Carlo methods for manoeuvrable sensors |
|---|---|
| Original language | English |
| Title of host publication | IEEENonlinear Statistical Signal Processing Workshop 2006, Cambridge, UK |
| Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
| Pages | 113 - 116 |
| Number of pages | 4 |
| ISBN (Print) | 9781424405817, 1424405815 |
| DOIs | |
| Publication status | Published - Sept 2006 |
| Event | Nonlinear Statistical Signal Processing Workshop - Cambridge, United Kingdom Duration: 1 Sept 2006 → … |
Conference
| Conference | Nonlinear Statistical Signal Processing Workshop |
|---|---|
| Country/Territory | United Kingdom |
| City | Cambridge |
| Period | 1/09/06 → … |
Bibliographical note
Rose publication type: Conference contributionSponsorship: 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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