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Grid based PHD filtering by Fast Fourier Transform

hal.structure.identifierAdvanced Learning Evolutionary Algorithms [ALEA]
dc.contributor.authorPACE, Michele
hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
hal.structure.identifierQuality control and dynamic reliability [CQFD]
dc.contributor.authorZHANG, Huilong
dc.date.issued2011-07
dc.date.conference2011-07-05
dc.description.abstractEnWe propose an approach to calculate the Probability Hypothesis Density function on a numerical grid by using a method based on the convolution theorem and Fast Fourier transform. This approach provides a representation of the PHD over a discretized domain and, unlike other techniques, does not require Gaussian assumptions on the target and observation model. By using the Fast Fourier Transform it results reasonably competitive in comparison to existing implementations, especially in low dimensional state spaces.
dc.language.isoen
dc.subject.enMulti-Target Tracking
dc.subject.enProbability Hypothesis Filter
dc.subject.enConvolution PHD Filter
dc.title.enGrid based PHD filtering by Fast Fourier Transform
dc.typeCommunication dans un congrès
dc.subject.halMathématiques [math]/Probabilités [math.PR]
bordeaux.conference.title14th International Conference on Fusion
bordeaux.countryUS
bordeaux.conference.cityChicago
bordeaux.peerReviewedoui
hal.identifierhal-00648109
hal.version1
hal.invitednon
hal.proceedingsoui
hal.conference.end2011-07-08
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-00648109v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.date=2011-07&rft.au=PACE,%20Michele&ZHANG,%20Huilong&rft.genre=unknown


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