Airborne Passive Target Motion Analysis

Abstract

Kalman filtering techniques are applied to a two sensor bearings only passive target motion analysis problem. An algorithm is developed to simulate tracking long range maneuvering airborne targets. The target tracking performance of the filter is evaluated using computer generated noisy bearing measurements. The performance of the filter is satisfactory given reasonable initial conditions and measurement noise. The purpose of TMA is to determine the target's position, course and speed through a series of passive noisy measurements. For the air defense scenario, these passive measurements may be lines of bearing (LOB) obtained from the enemy aircraft's jamming strobes or from the electromagnetic radiation of the aircraft's long range targeting radar.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1987
Accession Number
ADA188218

Entities

People

  • Jay A. Gutzler

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • C4I
  • Materials and Manufacturing Processes
  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Command And Control
  • Coordinate Systems
  • Detection
  • Detectors
  • Electromagnetic Radiation
  • Electronic Countermeasures
  • Estimators
  • Filtration
  • Information Science
  • Kalman Filtering
  • Kalman Filters
  • Random Variables
  • Systems Engineering
  • Target Tracking
  • Time
  • Time Intervals

Fields of Study

  • Engineering

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Aerospace Test and Evaluation
  • Phased Array Antenna Design.