In this article, an analysis to examine the influence of noise on the global accuracy of the Power Spectral Density (PSD) estimate is made; the expressions of the two components of error caused by noise have been derived, both for arithmetic and geometric mean of smoothed periodograms. It is proved that the performance of non-linear averaging is better than linear one as it produces, approximately, unbiased estimates in presence of noise. Moreover, the effect on accuracy of the PSD estimates, caused by a lack in synchronization with the deterministic component of the signal, are investigated and the exact expression of this error has been derived. The experimental validations seem to definitely confirm these results.
|Autori interni:||ATTIVISSIMO, Filippo|
|Titolo:||A study on noise-dependent bias error in identification of the parameters of multitone random signals|
|Data di pubblicazione:||1995|
|Nome del convegno:||IMEKO TC-4|
|Appare nelle tipologie:||4.1 Contributo in Atti di convegno|