Tracking and Interception of Ground-Based RF Sources Using Autonomous Guided Munitions with Passive Bearings-Only Sensors and Tracking Algorithms

Abstract

This paper considers the problem of tracking and intercepting a potentially moving ground-based RF source with an autonomous guided munition that has a passive bearings-only sensor located on its nose. It is assumed that the munition has lost GPS signal lock and that it relies only on its noisy inertial measurement unit (IMU) for guidance and navigation. Bearings-only target motion analysis (TMA) algorithms are used to obtain a position and velocity estimate for the RF source using the position, velocity and attitude estimates of the munition as well as the azimuth and elevation measurements obtained from the bearings-only RF sensor. Six degree-of-freedom (6-DOF) and three degree-of-freedom (3-DOF) munition models are used to evaluate the tracking and intercept/seeker performance of a hybrid coordinate (HC) extended Kalman filter (EKF), a particle filter (PF), a multiple hypothesis (MH) HC-EKF, and a pseudo-linear least squares (PLLS) filter.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2006
Accession Number
ADA443800

Entities

People

  • Craig Agate
  • Kenan Ezal

Tags

Communities of Interest

  • Materials and Manufacturing Processes
  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Angle Of Arrival
  • Computational Complexity
  • Coordinate Systems
  • Estimators
  • Filters
  • Global Positioning Systems
  • Inertial Navigation
  • Inertial Navigation Systems
  • Kalman Filters
  • Mathematical Filters
  • Measurement
  • Monte Carlo Method
  • Munitions
  • Navigation
  • Sequential Monte Carlo Methods
  • Weapons

Fields of Study

  • Engineering

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Inertial Navigation Systems.
  • Radar Systems Engineering.

Technology Areas

  • Space
  • Space - Space Objects
  • Space - Spacecraft Maneuvers