Improved multi-resolution method for MLE-based localization of radiation sources

Guthrie Cordone, Richard R. Brooks, Satyabrata Sen, Nageswara S.V. Rao, Chase Q. Wu, Mark L. Berry, Kayla M. Grieme

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

4 Scopus citations

Abstract

Multi-resolution grid computation is a technique used to speed up source localization with a Maximum Likelihood Estimation (MLE) algorithm. In the case where the source is located midway between grid points, the MLE algorithm may choose an incorrect location, causing following iterations of the search to close in on an area that does not contain the source. To address this issue, we propose a modification to multi-resolution MLE that expands the search area by a small percentage between two consecutive MLE iterations. At the cost of slightly more computation, this modification allows consecutive iterations to accurately locate the target over a larger portion of the field than a standard multi-resolution localization. The localization and computation performance of our approach is compared to both standard multi-resolution and single-resolution MLE algorithms. Tests are performed using seven data sets representing different scenarios of a single radiation source located within an indoor field of detectors. Results show that our method (i) significantly improves the localization accuracy in cases that caused initial grid selection errors in traditional MLE algorithms, (ii) does not have a negative impact on the localization accuracy in other cases, and (iii) requires a negligible increase in computation time relative to the increase in localization accuracy.

Original languageEnglish (US)
Title of host publication20th International Conference on Information Fusion, Fusion 2017 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9780996452700
DOIs
StatePublished - Aug 11 2017
Externally publishedYes
Event20th International Conference on Information Fusion, Fusion 2017 - Xi'an, China
Duration: Jul 10 2017Jul 13 2017

Publication series

Name20th International Conference on Information Fusion, Fusion 2017 - Proceedings

Other

Other20th International Conference on Information Fusion, Fusion 2017
CountryChina
CityXi'an
Period7/10/177/13/17

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Signal Processing
  • Modeling and Simulation
  • Instrumentation
  • Numerical Analysis

Keywords

  • Maximum likelihood estimation
  • localization
  • multi-resolution grid search
  • radiation source

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