TERCOM Performance: Analysis and Simulation

Abstract

A theoretical analysis of the performance of a nearest-prototype classifier (nearest in the sense of Euclidean distance) is presented as an approximate analysis of the performance of the Terrain Contour Matching Navigation System (TERCOM). The analysis is used to predict classifier performance on both artificially generated terrain with Gauss-Markov statistics and on real-world terrain. Over 150 simulation runs were performed over such terrain having added Gauss-Markov noise (independent of the terrain process) with 6 different noise levels. Results of the simulation are presented, giving performance as a function of signal/noise ratio and as a function of terrain roughness. Measured miss-distances are also presented. The simulation also includes the performance of a nearest-prototype classifier based on mean absolute distance (the first Minkowski metric), which is the actual metric employed in TERCOM. (Modified author abstract)

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1974
Accession Number
AD0783804

Entities

People

  • Joseph W. Carl
  • Mark W. Cannon Jr.

Organizations

  • Air Force Research Laboratory

Tags

Communities of Interest

  • Biomedical
  • Energy and Power Technologies
  • Materials and Manufacturing Processes
  • Sensors
  • Space

DTIC Thesaurus Topics

  • Air Force
  • Algorithms
  • Biomedical Research
  • Computational Science
  • Computations
  • Computer Programs
  • Computer Simulations
  • Computers
  • Inertial Navigation
  • Mathematical Analysis
  • Mathematical Models
  • Navigation
  • Pattern Recognition
  • Probability
  • Probability Density Functions
  • Random Variables
  • Recognition

Readers

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  • Radar Systems Engineering.