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Proceedings Paper

Modeling method of multi-sensor information fusion based on multiscale interpolation decoupling
Author(s): Tingdong Ye; Guixiong Liu; Xiaobin Hong; Guojian Huang
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Paper Abstract

In order to eliminate the noise and information coupling in the sensing information of the multi-sensor information measuring system, the paper propose a new modeling method, which adopts a distributed sensing mode, uses wavelet multiscale method and multivariate interpolation decoupling approach based on multiscale characteristic respectively in the de-noising and decoupling of sensing information, then uses scalars weighting method under minimum variance to estimate each sensor's contributing rate, and finally obtains the optimal fusion estimation of multi-sensor information. The experiments on the liquid component measurement in complex environment indicate that the precision of the modeling method can reach ±1.5%.

Paper Details

Date Published: 31 December 2008
PDF: 6 pages
Proc. SPIE 7130, Fourth International Symposium on Precision Mechanical Measurements, 713053 (31 December 2008); doi: 10.1117/12.819743
Show Author Affiliations
Tingdong Ye, South China Univ. of Technology (China)
Guangdong Industry Technical College (China)
Guixiong Liu, South China Univ. of Technology (China)
Xiaobin Hong, South China Univ. of Technology (China)
Guojian Huang, South China Univ. of Technology (China)


Published in SPIE Proceedings Vol. 7130:
Fourth International Symposium on Precision Mechanical Measurements
Yetai Fei; Kuang-Chao Fan; Rongsheng Lu, Editor(s)

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