Hybrid State Estimation Approach to Multiobject Tracking for Airborne Surveillance Radars

Abstract

This report describes the application of hyrbid state estimation theory to develop a unified theory of airborne surveillance. Hybrid state estimation provides a framework for treating estimation problems in which both continuous, numerical-valued variables and discrete, logical-valued variables occur. This framework allows one to model many different surveillance problems (such as multiple maneuvering targets, formation flying, missile launch and interception) and to construct the corresponding tracking algorithm. This report examines such models and investigates the resulting optimal and suboptimal tracking algorithms.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1984
Accession Number
ADA148459

Entities

People

  • A. L. Blitz
  • A. S. Willsky
  • R. B. Washburn
  • T. Kurien

Tags

Communities of Interest

  • Air Platforms
  • C4I
  • Materials and Manufacturing Processes
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Aircrafts
  • Command And Control
  • Computational Science
  • Computations
  • Covariance
  • Data Science
  • Detection
  • Equations
  • Information Science
  • Kalman Filters
  • Mathematical Filters
  • Plastic Explosives
  • Probability
  • Probability Distributions
  • Statistical Analysis
  • Statistical Estimation
  • Surveys

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Missile Defense Systems.