Robust multisensor multitarget tracker with application to passive multistatic radar tracking

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Robust multisensor multitarget tracker with application to passive multistatic radar tracking

This paper presents a novel approach to multitarget multisensor tracking, based on the combination of a probability hypothesis density (PHD) smoother and hard multisensor multiscan data association (MMDA) used in a feedback connection. The PHD smoother allows to initiate target tracks without resort...

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Bibliographic Details
Main Authors:	Battistelli, G., Chisci, L., Morrocchi, S., Papi, Francesco, Farina, A., Graziano, A.
Format:	Journal Article
Published:	2012
Online Access:	http://hdl.handle.net/20.500.11937/37924

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