A Successive Partial-Relaxation Gaussian Algorithm for Area Navigation Operations with the Microwave Landing System (MLS)

Abstract

Position reconstruction algorithms (PRAs) based on Gaussian techniques converge very slowly, or diverge, for some geometries of ground unit and aircraft location which are within MLS system coverage. On the other hand, algorithms based on Newton-Raphson techniques usually converge very rapidly but impose a significantly greater storage requirement and computational burden on the avionics. This report presents a modified Gaussian algorithm which uses a relaxation factor to achieve rapid convergence for all geometries, and with a computational burden much less than the equivalent Newton-Raphson algorithm. It presents the theoretical foundations of this algorithm and various results showing its effects. It also compares the algorithm's storage and computational burdens against Gaussian, rotated-coordinate Gaussian, and Newton-Raphson equivalent PRAs in the MLS context.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1990
Accession Number
ADA228871

Entities

People

  • Frederic D. Powell
  • Patricia M. Hatzis

Organizations

  • MITRE Corporation

Tags

Communities of Interest

  • Air Platforms

DTIC Thesaurus Topics

  • Air Force
  • Air Force Facilities
  • Aircrafts
  • Algorithms
  • Avionics
  • Classification
  • Convergence
  • Coordinate Systems
  • Distance Measuring Equipment
  • Equations
  • Geometry
  • Ground Stations
  • Mathematics
  • Microwave Landing Systems
  • Navigation
  • Security
  • United States

Fields of Study

  • Computer science

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.