Minimization of sensor usage for target tracking in a network of irregularly spaced sensors

T. J. Stevens, Darryl Morrell

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Scopus citations


We address the following scenario: a single target moves through a field of stationary sensors with known locations. At each time epoch, each sensor is either active or not; each active sensor outputs either target detected or not detected. The probability of target detection is a decreasing function of the distance from a sensor to the target. A particle filter is used to track the target through the sensor field using all active sensor outputs. A heuristic configuration strategy is used to determine which sensors should be activated; Monte Carlo simulations show that the configuration strategy leads to a significant reduction in required active sensors with little degradation in the tracker performance.

Original languageEnglish (US)
Title of host publicationIEEE Workshop on Statistical Signal Processing Proceedings
PublisherIEEE Computer Society
Number of pages4
ISBN (Print)0780379977
StatePublished - 2003
EventIEEE Workshop on Statistical Signal Processing, SSP 2003 - St. Louis, United States
Duration: Sep 28 2003Oct 1 2003


OtherIEEE Workshop on Statistical Signal Processing, SSP 2003
CountryUnited States
CitySt. Louis


  • Degradation
  • Intelligent networks
  • Missiles
  • Object detection
  • Particle filters
  • Particle tracking
  • Sensor systems
  • Target tracking
  • Trajectory
  • White noise

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Applied Mathematics
  • Signal Processing
  • Computer Science Applications

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