Adaptive derivative estimation for delay-constrained acceleration measurement

Author

Vainio, Olli

Author_Institution

Signal Process. Lab., Tampere Univ. of Technol., Finland

Volume

46

Issue

5

fYear

1999

fDate

10/1/1999 12:00:00 AM

Firstpage

933

Lastpage

935

Abstract

The well-known noise problem in digital differentiation is addressed by means of using adaptive digital filtering for signal pre-processing. Rapidly responding differentiators with low-noise output can be constructed by using the adaptive filter in a predictor configuration. As the prefilter is adaptive, the approximation is more flexible than polynomial fitting. The recursive least-squares adaptive algorithm is used for prediction

Keywords

acceleration measurement; adaptive filters; delays; differentiation; digital filters; filtering theory; least squares approximations; recursive estimation; adaptive derivative estimation; adaptive digital filtering; adaptive prefilter; delay-constrained acceleration measurement; digital differentiation; flexible approximation; low-noise output differentiators; predictor configuration; recursive least-squares adaptive prediction algorithm; signal pre-processing; Acceleration; Accelerometers; Adaptive filters; Delay estimation; Digital signal processing; Filtering; Finite impulse response filter; Frequency; Noise shaping; Shape;

fLanguage

English

Journal_Title

Industrial Electronics, IEEE Transactions on

Publisher

ieee

ISSN

0278-0046

Type

jour

DOI

10.1109/41.793341

Filename

793341