Title :
Study of the maximal interpolation errors of the local polynomial method for frequency response function measurements
Author :
Schoukens, J. ; Vandersteen, G. ; Pintelon, R. ; Emedji, Z. ; Rolain, Y.
Author_Institution :
Dept. ELEC, Vrije Univ. BrusselBrussel, Brussel, Belgium
Abstract :
Frequency response function measurements take a central place in the instrumentation and measurement field because many measurement problems boil down to the characterisation of a linear dynamic behaviour. The major problems to be faced are leakage- and noise errors. The local polynomial method (LPM) was recently presented as a superior method to reduce the leakage errors with several orders of magnitude while the noise sensitivity remained the same as that of the classical windowing methods. At the resonance frequencies, where often most information about the system is to be retrieved, the dominating error is the interpolation error. In this paper it is shown that the interpolation error for sufficiently low damping is bounded by (BLPM/B3dB)R+2 with BLPM the local bandwith of the LPM, R the degree of the local polynomial that is selected to be even (user choices), and B3dB the 3dB bandwidth of the resonance, which is a system property.
Keywords :
frequency measurement; frequency response; interpolation; polynomials; LPM; frequency response function measurements; instrumentation field; leakage-errors; linear dynamic behaviour; local polynomial method; low damping; maximal interpolation errors; noise errors; noise sensitivity; Argon; error analysis; frequency response function; interpolation errors; nonparametric;
Conference_Titel :
Instrumentation and Measurement Technology Conference (I2MTC), 2012 IEEE International
Conference_Location :
Graz
Print_ISBN :
978-1-4577-1773-4
DOI :
10.1109/I2MTC.2012.6229145