GPS-Based Adaptive Estimating of Time Errors for Clock Synchronization with a FIR Filter

Abstract

In this paper, we investigate one of the possibilities to adapt an unbiased moving average (MA) filter (finite impulse response [FIR] filter) to the slope of time error function. The linear regression coefficient is used as a statistical estimator of sample slope. We evaluate the error of the slope estimate and present two options for the adapting coefficient determination. To examine them, we generate the time error noisy signal with linear trend and estimate it with a simple MA, the optimally unbiased MA, and the two adapted filters. The particular errors of the filters, namely bias, RMSD, RMSE and maximal error are then compared. Finally we mark special features of the linear-regression- based adaptation.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 2001
Accession Number
ADA487359

Entities

People

  • A. Marienko
  • J. Fernandez-cortes
  • O. Ibarra-manzano
  • R. Rojas-laguna
  • Y. Shmaliy

Organizations

  • Universidad de Guanajuato

Tags

DTIC Thesaurus Topics

  • Clocks
  • Coefficients
  • Computations
  • Electronic Mail
  • Errors
  • Filters
  • Filtration
  • Frequency
  • Gaussian Noise
  • Information Operations
  • Kalman Filters
  • Local Oscillators
  • Mathematical Filters
  • Noise
  • Observation
  • Stationary Processes
  • Step Functions

Fields of Study

  • Engineering

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Approximation Theory.
  • Regression Analysis.

Technology Areas

  • Space