Source localization via randomly distributed sensors

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

Abstract

We present novel lower bounds on the mean-square source-localization error via a network where the sensors are deployed randomly (e.g., scattered from the air). The sensor locations are modeled as a homogenous Poisson point process. We present CRB-type bounds on the expectation of the localization square error, which is not a function of a particular sensor configuration, but rather of the sensor statistics. Thus, it can be evaluated prior to the sensor deployment and provide insights into design issues such as the necessary sensor density. The derived bounds are simple for evaluation, while providing a good prediction of the actual network performance.

Original languageAmerican English
Title of host publicationSPAWC 2016 - 17th IEEE International Workshop on Signal Processing Advances in Wireless Communications
ISBN (Electronic)9781509017492
DOIs
StatePublished - 9 Aug 2016
Externally publishedYes
Event17th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2016 - Edinburgh, United Kingdom
Duration: 3 Jul 20166 Jul 2016

Publication series

NameIEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC
Volume2016-August

Conference

Conference17th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2016
Country/TerritoryUnited Kingdom
CityEdinburgh
Period3/07/166/07/16

All Science Journal Classification (ASJC) codes

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

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