The paper addresses distributed multitarget tracking over a network of heterogeneous and geographically dispersed nodes with sensing, communication and processing capabilities. The contribution has been to develop a novel consensus Gaussian Mixture - Cardinalized Probability Hypothesis Density (GM- CPHD) filter that provides a fully distributed, scalable and computationally efficient solution to the problem. The effectiveness of the proposed approach is demonstrated via simulation experiments on realistic scenarios.
Consensus CPHD filter for distributed multitarget tracking / G. Battistelli; L. Chisci; C. Fantacci; A. Farina; A. Graziano. - In: IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING. - ISSN 1932-4553. - STAMPA. - 7:(2013), pp. 508-520. [10.1109/JSTSP.2013.2250911]
Consensus CPHD filter for distributed multitarget tracking
BATTISTELLI, GIORGIO;CHISCI, LUIGI;FANTACCI, CLAUDIO;
2013
Abstract
The paper addresses distributed multitarget tracking over a network of heterogeneous and geographically dispersed nodes with sensing, communication and processing capabilities. The contribution has been to develop a novel consensus Gaussian Mixture - Cardinalized Probability Hypothesis Density (GM- CPHD) filter that provides a fully distributed, scalable and computationally efficient solution to the problem. The effectiveness of the proposed approach is demonstrated via simulation experiments on realistic scenarios.
| File | Dimensione | Formato | |
|---|---|---|---|
|
2013_JSTSP.pdf
Accesso chiuso
Descrizione: Versione dell'editore
Tipologia:
Pdf editoriale (Version of record)
Licenza:
Tutti i diritti riservati
Dimensione
3.38 MB
Formato
Adobe PDF
|
3.38 MB | Adobe PDF | Richiedi una copia |
I documenti in FLORE sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
