Asynchronous Single Platform Sensor Fusion

Abstract

Multi-sensor tracking potentially has many advantages over single sensor tracking. This report evaluates the performance of a multi-sensor tracking algorithm, the asynchronous fused Kalman filter, using both simulated and real data from two dissimilar sensors. The real data was collected using a sensor fusion test-bed consisting of two sensors, a pulse Doppler radar and an optical video tracker. The performance of the algorithm has been evaluated under various conditions including clear sky, clutter, multiple targets and intermittent sensor operation. The effect of sensor fusion on the system's robustness to model mismatch has also been investigated.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1997
Accession Number
ADA329956

Entities

People

  • Mark L. Krieg

Organizations

  • Defence Science and Technology Group

Tags

Communities of Interest

  • C4I
  • Ground and Sea Platforms
  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Acquisition
  • Algorithms
  • Cameras
  • Commercial Aircraft
  • Computational Complexity
  • Computational Science
  • Data Association
  • Data Processing
  • Department Of Defense
  • Detection
  • Doppler Radar
  • Electronics
  • Microwave Radar
  • Multiple Hypothesis Tracking
  • Optical Detectors
  • Processing Equipment
  • Sensor Fusion

Fields of Study

  • Engineering

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Military/Explosive Ordnance Disposal (EOD) Technology
  • Radar Systems Engineering.