Implementation of the auxiliary sampling importance resampling particle filter on graphics processing unit Yardimli ornekleme onem yeniden ornekleme paracik siizgecinin grafi işleme biriminde gercekle stirilmesi

Date

2020-09-01

Author

Dülger, Özcan
Oğuztüzün, Mehmet Halit S.

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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In this paper, we investigate the performances of sampling importance resampling (SIR) particle filter and auxiliary sampling importance resampling (ASIR) particle filter. We mention the reasons behind ASIR particle filter which is the improved version of SIR particle filter. We use target tracking with radar application whose measurements are highly nonlinear in the experiments. At first, we implement the serial versions of these particles filters on a single processor. Although their qualities improve as the number of particle increases, their execution times deteriorate rapidly. Then we implement them on a graphics processing unit (GPU). GPU offers promising solutions for the particle filters as it has many cores in its architecture. We implement SIR and ASIR particle filters by using CUDA programming language and achieve important speed ups along with same qualities on GPU.

Subject Keywords

ASIR particle filter, CUDA programming language, Graphics processing unit, SIR particle filter, Target tracking with radar

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https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85095706358&origin=inward
https://hdl.handle.net/11511/106718

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Department of Computer Engineering, Conference / Seminar