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Conference papers

Grid based PHD filtering by Fast Fourier Transform

Michele Pace 1 Huilong Zhang 2, 3 
1 ALEA - Advanced Learning Evolutionary Algorithms
Inria Bordeaux - Sud-Ouest, UB - Université de Bordeaux, CNRS - Centre National de la Recherche Scientifique : UMR5251
3 CQFD - Quality control and dynamic reliability
IMB - Institut de Mathématiques de Bordeaux, Inria Bordeaux - Sud-Ouest
Abstract : 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.
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Submitted on : Monday, December 5, 2011 - 10:44:50 AM
Last modification on : Wednesday, February 2, 2022 - 3:53:25 PM


  • HAL Id : hal-00648109, version 1



Michele Pace, Huilong Zhang. Grid based PHD filtering by Fast Fourier Transform. 14th International Conference on Fusion, Jul 2011, Chicago, United States. ⟨hal-00648109⟩



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