Track-to-Track Association in Ocean Surveillance

Abstract

The ability to resolve track-to-track association problems is one of the most important requirements in the development of automated information processors for ocean surveillance systems comprising multiple data sources. The individual tracks carried by a processor can be represented as samples from multivariate normal distributions, and the most basic track association problem- determining whether two tracks relate to the same target-is solved using a test based on the chi-square distribution. When a specified track is to be compared with two other candidates for association, a test of the chi-square distribution against a noncentral chi-square alternative is used; this procedure can be adapted for use as a sequential test in continuing surveillance operations. The procedures developed for track association can be implemented within man-machine systems; for many cases they will make relatively few demands for interaction by surveillance analysts. (Author)

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Document Details

Document Type
Technical Report
Publication Date
May 12, 1976
Accession Number
ADB011564

Entities

People

  • Howard L. Wiener

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • Energy and Power Technologies
  • Ground and Sea Platforms
  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Algorithms
  • Computations
  • Covariance
  • Data Processing
  • Data Science
  • Databases
  • Information Science
  • Military Research
  • Normal Distribution
  • Ocean Surveillance
  • Probability
  • Probability Density Functions
  • Random Variables
  • Statistical Algorithms
  • Statistical Tests
  • Surveillance
  • Test And Evaluation

Readers

  • Computer Vision.
  • Logistics and Supply Chain Management.
  • Statistical inference.