An Interpolation Decoupling Method of Multi-Sensor Information Based on Variance

Abstract:

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In order to solve decoupling problem of homogeneous multi-sensor information which couples with other sensor’s information, the paper proposed an interpolation decoupling method of multi-sensor information based on variance; based on multi-scale approximation principle, it used a interpolation decoupling method to calculate scale threshold under a prediction precision target, and realized information decoupling; in the decoupling process, it adjusted the scale threshold by actual change of decoupling variance. Emulation results shows the decoupling variance decreases 13.56% by using the online adjustment method of scale threshold, after decoupling and fusion of multi-sensor information, the measurement precision increases 2.02 times as much as a single sensor, the interpolation decoupling method based on variance has high precision and good real-time characteristic.

Info:

Periodical:

Advanced Materials Research (Volumes 271-273)

Edited by:

Junqiao Xiong

Pages:

669-674

DOI:

10.4028/www.scientific.net/AMR.271-273.669

Citation:

T. D. Ye and G. X. Liu, "An Interpolation Decoupling Method of Multi-Sensor Information Based on Variance", Advanced Materials Research, Vols. 271-273, pp. 669-674, 2011

Online since:

July 2011

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Price:

$35.00

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