Multi-sensor data fusion and estimation with poor information based on bootstrap-fuzzy model

Naixun Sun; Xiaoqing Zhang; Yanqing Wang

doi:10.1117/12.2247790

4 November 2016 Multi-sensor data fusion and estimation with poor information based on bootstrap-fuzzy model

Naixun Sun, Xiaoqing Zhang, Yanqing Wang

Proceedings Volume 10025, Advanced Sensor Systems and Applications VII; 100250J (2016) https://doi.org/10.1117/12.2247790
Event: SPIE/COS Photonics Asia, 2016, Beijing, China

Abstract

Multi-sensor data fusion and estimation with poor information is a common problem in the field of stress measurement. Small and distribution unknown data sample obtained from multi-sensor makes the data fusion and estimation much difficult. To solve this problem, a novel bootstrap-fuzzy model is developed. This model is different from the statistical methods and only needs a little data. At first, the limited stress multi-sensor measurement data is expanded by the bootstrap sampling. Secondly, the data fusion sequence is constructed by the bootstrap distribution. Finally the true value and the interval of the stress multi-sensor measurement data are estimated by the fuzzy subordinate functions. Experimental results show that the data fusion sequence is in a good agreement with the original measurement data. The accuracy of the estimated interval can reach 85%. Therefore, the effect of the proposed bootstrap-fuzzy model is validated.

Citation Download Citation

Naixun Sun, Xiaoqing Zhang, and Yanqing Wang "Multi-sensor data fusion and estimation with poor information based on bootstrap-fuzzy model", Proc. SPIE 10025, Advanced Sensor Systems and Applications VII, 100250J (4 November 2016); https://doi.org/10.1117/12.2247790

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