NDLI: Input signal reconstruction based on improved Moving Least Squares for nonlinear multiple-input multiple-output sensor

Content Provider	IEEE Xplore Digital Library
Author	Jinwei Sun Dan Liu Xin Liu Guo Wei
Copyright Year	2009
Description	Author affiliation: Institute of Intelligent Testing and Information Processing Technology, Harbin Institute of Technology, China (Jinwei Sun; Dan Liu; Xin Liu; Guo Wei)
Abstract	Meshless methods popularized in recent years are attractive choices for solving discontinuous and large deformation problems. As one of the most popular methods to form trial function, Moving Least Squares (MLS) can accurately fulfill input signal reconstruction of nonlinear multiple-input multiple-output sensor. However, the parameter matrix obtained from MLS approximation sometimes is ill-conditioned even singular, which makes the signal estimation incorrect. By considering this problem, a novel method, the Improved Moving Least Squares (IMLS) is applied to data reconstruction in this paper. The algebra system based on IMLS method is not ill-conditioned with the weighted orthogonal functions replaced as the basis functions. Furthermore the estimation of sensor input signals can be obtained without calculating the inversions of any matrices, and the computing procedure is also faster than that of MLS method. At last the comparison of approximation accuracy between these two methods is presented and illustrates that IMLS is more superior in signals regression for nonlinear multiple-input multiple-output sensors.
Starting Page	5313
Ending Page	5317
File Size	485944
Page Count	5
File Format	PDF
ISBN	9784907764340
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-08-18
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	SICE
Subject Keyword	Signal reconstruction Least squares methods MIMO Multilevel systems Least squares approximation Intelligent sensors Sun Testing Information processing Estimation Improved Moving Least Squares nonlinear multiple-input multiple-output sensor signals reconstruction Moving Least Squares
Content Type	Text
Resource Type	Article

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