Node Selection for Unattended Ground Sensor Networks While Interrogating Multiple Targets

Abstract

This work investigates the performance of a multiple target tracker that exploits bearings-only measurements from a network of unattended ground sensors (UGS). To conserve energy while interrogating multiple maneuvering targets, the tracker integrates node resource management with the multiple-mode probabilistic data association (PDA) or joint probabilistic data association(JPDA) filter. Experiments show that for sufficiently separated targets, the global node selection leads to better geolocation performance than the closest selection approach when the number of active nodes is set to two per snapshot. A track purity metric is also calculated to quantify the quality of the measurementto- track association performance of the tracking filter.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2004
Accession Number
ADA431618

Entities

People

  • James H. Mcclellan
  • Lance Kaplan
  • Qiang Le

Organizations

  • Clark Atlanta University

Tags

Communities of Interest

  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Buildings And Structures
  • Data Association
  • Detectors
  • Filters
  • Filtration
  • Geolocation
  • Geometry
  • Global Positioning Systems
  • Kalman Filters
  • Matched Filters
  • Measurement
  • Military Research
  • Multiple Targets
  • Noise
  • Sensor Networks

Fields of Study

  • Engineering

Readers

  • Image Processing and Computer Vision.
  • Sensor Fusion and Tracking Systems.