Research on fuzzy robust adaptive unscented particle filtering

Yi Gao; Shesheng Gao

doi:10.1117/12.913581

1 October 2011 Research on fuzzy robust adaptive unscented particle filtering

Yi Gao, Shesheng Gao

Proceedings Volume 8285, International Conference on Graphic and Image Processing (ICGIP 2011); 82852N (2011) https://doi.org/10.1117/12.913581
Event: 2011 International Conference on Graphic and Image Processing, 2011, Cairo, Egypt

Abstract

This paper present a new fuzzy robust adaptive Unscented particle filtering method based on the fuzzy control theory. This method absorbs the advantages of the fuzzy control theory, the robust adaptive filtering and the Unscented particle filtering. Using the influence of the gross errors in the observation vectors on the state vector parameters to obtain the robust adaptive Unscented particle filtering model. Experiment results and comparison analysis demonstrate that this proposed methodology provides an effective solution for improving the positioning accuracy in navigation system.

Citation Download Citation

Yi Gao and Shesheng Gao "Research on fuzzy robust adaptive unscented particle filtering", Proc. SPIE 8285, International Conference on Graphic and Image Processing (ICGIP 2011), 82852N (1 October 2011); https://doi.org/10.1117/12.913581

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available