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|
|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|
|Publication status||Published - Sep 2006|
|Event||Nonlinear Statistical Signal Processing Workshop - Cambridge, United Kingdom|
Duration: 1 Sep 2006 → …
|Conference||Nonlinear Statistical Signal Processing Workshop|
|Period||1/09/06 → …|
Bibliographical noteRose publication type: Conference contribution
Sponsorship: This work forms a part of the DIF-DTC project whose funding and support is gratefully acknowledged.
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