A Practical On-Line Filter to Process Gyrocompass Data

Abstract

The problem of determining true azimuth from noisy gyrocompass data is presented. First, an adaptive filter is shown to be able to correct the gyrocompass output for environmental effects. Second, it is demonstrated that a low-pass digital filter is able to reduce the measurement noise in the raw data so that it can be properly passed through the adaptive estimator. Computer simulations are presented that indicate that the proposed digital and adaptive filter perform as anticipated.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 1974
Accession Number
AD0783250

Entities

People

  • Ronald E. Janosko

Organizations

  • Air Force Research Laboratory

Tags

Communities of Interest

  • C4I
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Adaptive Filters
  • Air Force
  • Coefficients
  • Colorado
  • Computer Simulations
  • Covariance
  • Data Processing
  • Digital Filters
  • Equations
  • Equations Of State
  • Errors
  • Filters
  • Kalman Filters
  • Measurement
  • Random Variables
  • Simulations
  • Transfer Functions

Fields of Study

  • Engineering

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Computer Science/Computer Engineering/Data Science/Digital Signal Processing.
  • Inertial Navigation Systems.