TheoH and allan deviation as power-law noise estimators

Author

McGee, Jennifer A. ; Howe, David A.

Author_Institution

Div. of Time & Frequency, Nat. Inst. for Stand. & Technol., Boulder, CO

Volume

54

Issue

2

fYear

2007

fDate

2/1/2007 12:00:00 AM

Firstpage

448

Lastpage

452

Abstract

A spectral interpretation using the frequency sensitivity of the Allan variance (Avar) and Theo-Hybrid (TheoH) is used to determine f^alpha noise, or "power-law noise." TheoH has narrower chi-square confidence than Avar; consequently, TheoH provides significantly better determination of f^alpha noise types at long term. Furthermore, TheoH has even narrower confidence than chi-square. Because the algorithms used to calculate these confidence intervals are computationally intensive, we have constructed an empirical formula that approximates confidence intervals as the percent error for TheoH

Keywords

noise; sensitivity analysis; statistical analysis; Allan variance; Theo-Hybrid; TheoH; chi-square confidence; frequency sensitivity; power-law noise estimators; Distributed computing; Frequency conversion; Frequency estimation; Frequency response; Government; Sampling methods; Stability; Statistical analysis; Statistics; Algorithms; Artifacts; Computer Simulation; Data Interpretation, Statistical; Image Enhancement; Image Interpretation, Computer-Assisted; Models, Statistical; Ultrasonography;

fLanguage

English

Journal_Title

Ultrasonics, Ferroelectrics, and Frequency Control, IEEE Transactions on

Publisher

ieee

ISSN

0885-3010

Type

jour

DOI

10.1109/TUFFC.2007.260

Filename

4107705