Grid based PHD filtering by Fast Fourier Transform
ZHANG, Huilong
Institut de Mathématiques de Bordeaux [IMB]
Quality control and dynamic reliability [CQFD]
Institut de Mathématiques de Bordeaux [IMB]
Quality control and dynamic reliability [CQFD]
ZHANG, Huilong
Institut de Mathématiques de Bordeaux [IMB]
Quality control and dynamic reliability [CQFD]
< Réduire
Institut de Mathématiques de Bordeaux [IMB]
Quality control and dynamic reliability [CQFD]
Langue
en
Communication dans un congrès
Ce document a été publié dans
14th International Conference on Fusion, 2011-07-05, Chicago. 2011-07
Résumé en anglais
We 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 ...Lire la suite >
We 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.< Réduire
Mots clés en anglais
Multi-Target Tracking
Probability Hypothesis Filter
Convolution PHD Filter
Origine
Importé de halUnités de recherche