Probability of detection and optimal sensor placement for threshold based detection systems

Rustam Stolkin, Ionut Florescu

Research output: Contribution to journalArticlepeer-review

28 Scopus citations

Abstract

This paper provides a probabilistic analysis of simple detection systems which are based on thresholding feature values extracted from a sensor signal. For such systems, this paper explains how to calculate the probability of detection as a function of range from the sensor to the object of interest. This function is important in that it enables optimal positioning of a group of sensors, either maximizing detection rates for a given number of sensors or informing the minimum number of sensors necessary to achieve a desired probability of detection throughout an area. An example case study is presented, based on a novel approach to passive acoustic diver detection in noisy environments.

Original languageEnglish
Article number4711327
Pages (from-to)57-60
Number of pages4
JournalIEEE Sensors Journal
Volume9
Issue number1
DOIs
StatePublished - Jan 2009

Keywords

  • Diver detection
  • Probability of detection
  • Sensor network optimization
  • Sensor placement

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