Localization under random measurements with application to radiation sources

Nageswara S.V. Rao, Mallikarjun Shankar, Jren Chit Chin, David K.Y. Yau, Chris Y.T. Ma, Yong Yang, Jennifer C. Hou, Xiaochun Xu, Sartaj Sahni

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

32 Scopus citations

Abstract

We consider the problem of estimating the location of a target in 2D using random measurements of sensors' distance-differences to it. The linear algebraic solution to this problem becomes incomplete under random measurement errors, while the geometric method that always returns a solution has been developed only for 3-sensor configurations. We present three methods to extend the geometric method to a larger number of sensors, and compare their performance using simulations. We then consider two cases where measurements are collected over the same time-window at all sensors: (a) measurements are time-synchronized, and (b) measurements are independently collected within the time-window. We present the localization methods, mean of estimators and mean of measurements for case (a) and (b), respectively, and compare them using simulations. We describe a method for localizing point radiation sources from intensity measurements which uses the localization as a component. Based on simulation and test-bed results, our estimators' performance improves with the number of sensors, and the mean of estimators method offers a better overall performance.

Original languageEnglish
Title of host publicationProceedings of the 11th International Conference on Information Fusion, FUSION 2008
DOIs
StatePublished - 2008
Event11th International Conference on Information Fusion, FUSION 2008 - Cologne, Germany
Duration: Jun 30 2008Jul 3 2008

Publication series

NameProceedings of the 11th International Conference on Information Fusion, FUSION 2008

Conference

Conference11th International Conference on Information Fusion, FUSION 2008
Country/TerritoryGermany
CityCologne
Period06/30/0807/3/08

Keywords

  • Detection and localization
  • Distance-difference
  • Point radiation source

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