DocumentCode
2092902
Title
Power law noise identification using the lag 1 autocorrelation
Author
Riley, W.J. ; Greenhal, C.A.
Author_Institution
Symmetricom Inc., Beverly, MA
fYear
2004
fDate
5-7 April 2004
Firstpage
576
Lastpage
580
Abstract
This paper describes a new method for power law noise identification, based on the lag 1 autocorrelation function, that can determine the dominant noise type for all common noise processes, from phase or frequency data, for all averaging factors, in a consistent and analytic manner.
Keywords
frequency stability; noise; frequency data; frequency stability analysis; lag 1 autocorrelation function; noise processes; phase data; power law noise identification; Autocorrelation; Frequency Stability Analysis; Power Law Noise;
fLanguage
English
Publisher
iet
Conference_Titel
Frequency and Time Forum, 2004. EFTF 2004. 18th European
Conference_Location
Guildford
ISSN
0537-9989
Print_ISBN
0-86341-384-6
Type
conf
Filename
5075021
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