Title :
Adaptive derivative estimation for delay-constrained acceleration measurement
Author_Institution :
Signal Process. Lab., Tampere Univ. of Technol., Finland
fDate :
10/1/1999 12:00:00 AM
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;
Journal_Title :
Industrial Electronics, IEEE Transactions on
