A Centripetal Acceleration Statistic for Tracking Maneuvering Targets with Radar

Abstract

Maneuver tracking is complicated because radar cannot directly measure target acceleration. Radar measures a target's range and bearing, and its radial velocity with respect to radar position. Tracking algorithms use radial velocity to associate radar reports to tracks, but not to update track state estimates. In this paper, a new statistic of centripetal acceleration based on the radial velocity measurement is developed. A tracker using this statistic is developed and tested via simulation against three other tracking algorithms. Simulation results show that the new tracker outperforms trackers with switched noise levels and a two mode interacting multiple model.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2002
Accession Number
ADA467466

Entities

People

  • David Bizup

Organizations

  • University of Virginia

Tags

Communities of Interest

  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Algorithms
  • Control Systems Engineering
  • Coordinate Systems
  • Data Processing
  • Detection
  • Detectors
  • Engineering
  • False Alarms
  • Filters
  • Filtration
  • Kalman Filters
  • Low Noise
  • Radar Tracking
  • Radial Velocity
  • Simulations
  • Target Tracking
  • Warning Systems

Fields of Study

  • Environmental science

Readers

  • Approximation Theory.
  • Brain and Cognitive Science; Experimental Psychology; Cognitive Neuroscience
  • Missile Defense Systems.