The non-recursive estimation using a batch filter based on particle filtering

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2 Citations (Scopus)

Abstract

In this paper, the non-recursive estimation algorithm using a batch filter based on particle filtering is developed and utilized for one-dimensional nonlinear example. For comparison study, algorithms of a batch filter based on unscented transformation and generic particle filtering are briefly reviewed and new algorithm of a batch filter based on particle filtering is presented. For verification of presented batch filter's performance, the numerical simulations and the accuracy assessment are achieved and results are compared with those of a batch filter based on unscented transformation for various nonlinear and non-Gaussian environments. The root mean square value of differences between observational values and computed values after convergence is used for precision check of filtering process, estimated initial state value and the difference between true initial state value and estimated initial state value are used for state accuracy check of nonlinear estimation. Large initial state and various type of measurement noise are used for nonlinear and non-Gaussian environments, respectively. Under large initial state error or large non-Gaussian measurement noise, the developed non-recursive estimation algorithm give more robust and accurate estimation results than those of a batch filter based on unscented transformation easily. Finally, the non-recursive batch filter based on particle filtering is effectively applicable for batch estimation problems under nonlinear and non-Gaussian environments.

Original languageEnglish
Title of host publication2012 International Conference on Systems and Informatics, ICSAI 2012
Pages2193-2197
Number of pages5
DOIs
Publication statusPublished - 2012 Jul 30
Event2012 International Conference on Systems and Informatics, ICSAI 2012 - Yantai, China
Duration: 2012 May 192012 May 20

Other

Other2012 International Conference on Systems and Informatics, ICSAI 2012
CountryChina
CityYantai
Period12/5/1912/5/20

All Science Journal Classification (ASJC) codes

  • Information Systems

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  • Cite this

    Kim, Y. R., Park, S-Y., & Park, C. (2012). The non-recursive estimation using a batch filter based on particle filtering. In 2012 International Conference on Systems and Informatics, ICSAI 2012 (pp. 2193-2197). [6223486] https://doi.org/10.1109/ICSAI.2012.6223486