Comments on "Gaussian particle filtering"

Authors:
Yuanxin Wu;Xiaoping Hu;D. Hu;Meiping Wu
Affiliations:
Dept. of Autom. Control, Nat. Univ. of Defense Technol., Hunan, China;-;-;-
Venue:
IEEE Transactions on Signal Processing - Part II
Year:
2005

Citing 0
Cited 2

Study of Algorithmic and Architectural Characteristics of Gaussian Particle Filters

Journal of Signal Processing Systems
Quasi-Gaussian particle filtering

ICCS'06 Proceedings of the 6th international conference on Computational Science - Volume Part I

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Abstract

With the Gaussian assumption, the above paper proposed an optimal Gaussian filer under the particle filtering framework. This comment presents a different perspective from the standpoint of the conventional Gaussian filters. In this respect, the Gaussian particle filter actually extends the conventional Gaussian filter using Monte Carlo integration and the Bayesian update rule. Hopefully, the use of quasi-Monte Carlo integration in place of Monte Carlo integration will improve the particle filtering.