Algorithms for Improving the Overland Surveillance Capability of the E-2C AEW Aircraft

Abstract

This report discusses two algorithms developed at the Naval Research Laboratory (NRL) with the goal of improving the overland littoral surveillance capability of airborne UHF radars such as the APS-145. The APS-145 is the surveillance radar deployed on the E-2C carrier based airborne early warning aircraft. The impetus for this study is the fact that radars generally have much greater accuracy in the downrange direction than in the crossrange direction and in the case of the APS-145 radar, the downrange measure- ment uncertainty is small compared to the typical spacing between roads while the crossrange measurement uncertainty is large compared to the typical spacing between roads. The first algorithm employs Digitized Features Analysis Data (DFAD) to leverage the downrange accuracy of the radar to improve on-road target crossrange accuracy. The second algorithm takes advantage of the fact that the first algorithm 1) associates on-road targets with a particular road and 2) reduces the tracking problem from two dimensions to one. Both algorithms were developed and evaluated using simulated data. The algorithm for improving target location accuracy was also exercised using measured data.

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Document Details

Document Type
Technical Report
Publication Date
Dec 08, 2000
Accession Number
ADA385110

Entities

People

  • Edward M. Kutrzyba
  • Stephen R. Schutz

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • C4I

DTIC Thesaurus Topics

  • Accuracy
  • Airborne
  • Airborne Early Warning
  • Aircrafts
  • Algorithms
  • Cartesian Coordinates
  • Computer Simulations
  • Detection
  • Geometry
  • Longitude
  • Measurement
  • Military Research
  • Multitarget Tracking
  • Radar
  • Surveillance
  • Surveillance Radar
  • Uncertainty

Readers

  • Computer Vision.
  • Regression Analysis.
  • Sensor Fusion and Tracking Systems.

Technology Areas

  • Space
  • Space - Space Objects