Tracking Theory for Airborne Surveillance Radars

Abstract

This report describes the development of an advanced multitarget tracking algorithm for surveillance radars. The approach is based on the development of mathematical models relating targets, the environment, and radar parameters to the measurements supplied to the tracking algorithm. The fundamentals of the surveillance and tracking algorithm are based on adaptive hypothesis testing techniques, and specifically, on the multiple model adaptive estimation approach. The algorithm was developed, computer-programmed, and exercised on several hypothetical but realistic surveillance/tracking scenarios.

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 1983
Accession Number
ADA131792

Entities

People

  • A. L. Blitz
  • A. S. Willsky
  • J. Korn
  • J. R. Delaney

Tags

Communities of Interest

  • Air Platforms
  • Engineered Resilient Systems
  • Materials and Manufacturing Processes
  • Weapons Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Computational Science
  • Computations
  • Computer Programs
  • Coordinate Systems
  • Data Storage Systems
  • Detection
  • Electrical Engineering
  • Kalman Filters
  • Mathematical Filters
  • Multitarget Tracking
  • Noise
  • Radar
  • Standards
  • Statistical Algorithms
  • Statistical Estimation
  • Targets

Readers

  • Computational Modeling and Simulation
  • Sensor Fusion and Tracking Systems.
  • Systems Analysis and Design