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

Abstract

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
Pages539-542
Number of pages4
Volume2003-January
ISBN (Print)0780379977
DOIs
StatePublished - 2003
EventIEEE Workshop on Statistical Signal Processing, SSP 2003 - St. Louis, United States
Duration: Sep 28 2003Oct 1 2003

Other

OtherIEEE Workshop on Statistical Signal Processing, SSP 2003
CountryUnited States
CitySt. Louis
Period9/28/0310/1/03

Keywords

  • 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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  • Cite this

    Stevens, T. J., & Morrell, D. (2003). Minimization of sensor usage for target tracking in a network of irregularly spaced sensors. In IEEE Workshop on Statistical Signal Processing Proceedings (Vol. 2003-January, pp. 539-542). [1289515] IEEE Computer Society. https://doi.org/10.1109/SSP.2003.1289515