Title :
Power law noise identification using the lag 1 autocorrelation
Author :
Riley, W.J. ; Greenhal, C.A.
Author_Institution :
Symmetricom Inc., Beverly, MA
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;
Conference_Titel :
Frequency and Time Forum, 2004. EFTF 2004. 18th European
Conference_Location :
Guildford
Print_ISBN :
0-86341-384-6
