Least square estimation of phase, frequency and PDEV
Abstract
The Omegapreprocessing was introduced to improve phase noise rejection by using a least square algorithm. The associated variance is the PVAR which is more efficient than MVAR to separate the different noise types. However, unlike AVAR and MVAR, the decimation of PVAR estimates for multitau analysis is not possible if each counter measurement is a single scalar. This paper gives a decimation rule based on two scalars, the processing blocks, for each measurement. For the Omegapreprocessing, this implies the definition of an output standard as well as hardware requirements for performing highspeed computations of the blocks.
 Publication:

arXiv eprints
 Pub Date:
 April 2016
 DOI:
 10.48550/arXiv.1604.01004
 arXiv:
 arXiv:1604.01004
 Bibcode:
 2016arXiv160401004D
 Keywords:

 Physics  Data Analysis;
 Statistics and Probability