Polynomial constrained LMS adaptive algorithm for measurement signal processing

Author

Vainio, Olli

Author_Institution

Dept. of Inf. Technol., Tampere Univ. of Technol., Finland

Volume

2

fYear

2002

fDate

5-8 Nov. 2002

Firstpage

1479

Abstract

The LMS adaptive algorithm is modified in such a way that unbiased polynomial estimation or prediction is guaranteed continuously. This is accomplished by introducing the necessary linear constraints and modifying the coefficient update equations accordingly. The adaptive properties in polynomial prediction allow optimum noise attenuation even when the characteristics of noise and interference are dynamically changing. Also, adaptive differentiation with the constrained LMS algorithm is proposed. Examples of signal processing in a velocity measurement application are shown.

Keywords

differentiation; least mean squares methods; measurement systems; polynomials; signal processing; velocity measurement; LMS adaptive algorithm; adaptive properties; coefficient update equations; interference; measurement signal processing; noise; optimum noise attenuation; polynomial constrained LMS adaptive algorithm; polynomial prediction; unbiased polynomial estimation; unbiased polynomial prediction; velocity measurement; Adaptive algorithm; Adaptive signal processing; Attenuation; Extrapolation; Finite impulse response filter; Interference constraints; Least squares approximation; Polynomials; Signal processing algorithms; Smoothing methods;

fLanguage

English

Publisher

ieee

Conference_Titel

IECON 02 [Industrial Electronics Society, IEEE 2002 28th Annual Conference of the]

Print_ISBN

0-7803-7474-6

Type

conf

DOI

10.1109/IECON.2002.1185497

Filename

1185497