Accession Number:

ADA503430

Title:

Separating the Variances of a Two-Component Clock Model by Sequential Minque

Descriptive Note:

Conference paper

Corporate Author:

CALIFORNIA INST OF TECH PASADENA JET PROPULSION LAB

Personal Author(s):

Report Date:

2008-12-01

Pagination or Media Count:

13.0

Abstract:

Minimum norm quadratic unbiased estimation, or MINQUE, is a method for improving the variance estimates of noise components in a Gauss-Markov least-squares problem. This study treats a simple special case estimating the two noise levels of a clock whose phase noise is the sum of white FM and random walk FM. Given prior estimates of the noise levels, perhaps from an Allan deviation plot, MINQUE calculates new estimates and their uncertainties. Although the original MINQUE calculation on N data takes ON2 space and ON3 time, it can be done sequentially in bounded space and ON time. The method is applied to data from a simulation and from a comparison of two hydrogen masers.

Subject Categories:

  • Numerical Mathematics
  • Test Facilities, Equipment and Methods

Distribution Statement:

APPROVED FOR PUBLIC RELEASE