Optimal sensor-target geometries analysis for Angle-of-arrival localization

Pang Feifei, Zhang Qunfei, Shi Wentao

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

1 Scopus citations

Abstract

The target position accuracy suffers from the bad relative sensor-target geometries for Angle-of-arrival localization techniques. To reduce the impact, the optimal sensor-target geometries in the 2D plane are investigated based on maximizing the determinant of the Fisher information matrix. To solve the optimal problem, the conditions that the local optimal solutions should satisfy are studied by discussing the first derivative and Hessian matrix. For two sensors with arbitrary distance to the target, it is shown that the optimal geometry is obtained if the two bearing lines are mutually perpendicular. The optimal geometry is studied for more than two sensors with the equal distance. Simulation results illustrate the effectiveness of the proposed the optimal relative sensor-target geometries.

Original languageEnglish
Title of host publicationICSPCC 2016 - IEEE International Conference on Signal Processing, Communications and Computing, Conference Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509027088
DOIs
StatePublished - 22 Nov 2016
Event2016 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2016 - Hong Kong, China
Duration: 5 Aug 20168 Aug 2016

Publication series

NameICSPCC 2016 - IEEE International Conference on Signal Processing, Communications and Computing, Conference Proceedings

Conference

Conference2016 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2016
Country/TerritoryChina
CityHong Kong
Period5/08/168/08/16

Keywords

  • Angle of arrival localization
  • Fisher information matrix
  • Optimal relative sensor-target geometry

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