Network Detection of Radiation Sources Using Localization-Based Approaches

Chase Qishi Wu, Mark Lee Berry, Kayla Marie Grieme, Satyabrata Sen, Nageswara S.V. Rao, Richard R. Brooks, Guthrie Cordone

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

Radiation source detection is an important problem in homeland security-related applications. Deploying a network of detectors is expected to provide improved detection due to the combined, albeit dispersed, capture area of multiple detectors. Recently, localization-based detection algorithms provided performance gains beyond the simple 'aggregated' area as a result of localization being enabled by the networked detectors. We propose the following three localization-based detection approaches: 1) source-attractor radiation detection (SRD); 2) triangulation-based radiation source detection (TriRSD); and 3) the ratio of square distance-based radiation source detection (ROSD-RSD). We use canonical datasets from Domestic Nuclear Detection Office's intelligence radiation sensors systems tests to assess the performance of these methods. Extensive results illustrate that SRD outperforms TriRSD and ROSD-RSD, and other existing detection algorithms based on the sequential probability ratio test and maximum likelihood estimation in terms of both false alarm and detection rates.

Original languageEnglish (US)
Article number8604088
Pages (from-to)2308-2320
Number of pages13
JournalIEEE Transactions on Industrial Informatics
Volume15
Issue number4
DOIs
StatePublished - Apr 2019

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Information Systems
  • Computer Science Applications
  • Electrical and Electronic Engineering

Keywords

  • Radiation source detection (RSD)
  • sensor networks
  • source localization

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