Tracking Anti-Ship Missiles Using Radar and Infra-Red Search and Track: Track Error Performance

Abstract

The problem of association and fusion of radar and infra-red search and track (IRST) sensor reports is not straightforward, especially because IRST provides only angular measurements while radar provides range and range-rate measurements in addition to azimuth and elevation measurements. In this report, simulation results show that a centralised extended Kalman filter tracker is a solution that can capitalise on the higher angular accuracy of the IRST sensor to provide improved track accuracy performance.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2006
Accession Number
ADA450492

Entities

People

  • Hwa-tung Ong

Organizations

  • Defence Science and Technology Group

Tags

Communities of Interest

  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Defense
  • Algorithms
  • Anti-Ship Missiles
  • Australia
  • Data Association
  • Data Fusion
  • Defense Systems
  • Detection
  • Detectors
  • False Alarms
  • Kalman Filters
  • Monte Carlo Method
  • Multiple Hypothesis Tracking
  • Sensor Fusion
  • Target Detection
  • Warfare
  • Warning Systems

Readers

  • Radar Systems Engineering.
  • Sensor Fusion and Tracking Systems.