A generic bias-correction method with application to scan-based localization

Yiming Ji, Changbin Yu, Brian D.O. Anderson, Samuel P. Drake

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

3 Citations (Scopus)

Abstract

In previous work a method was proposed to determine the bias in localization algorithms using range or bearing data. In this paper the method is extended to be more generic; in particular, different types of measurement data are permitted, and there may be more measurements than there are variables to estimate. The method combines the Taylor series and Jacobian matrices to determine the bias, and leads to an easily calculated analytical bias expression, despite the general unavailability of analytic expressions for the solution of most localization problems. The method is used to estimate the bias in scan-based localization. Monte Carlo simulation results verify the performance of the proposed method in this context.

Original languageEnglish
Title of host publication2011 9th IEEE International Conference on Control and Automation, ICCA 2011
Place of PublicationChile
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages24-29
Number of pages6
ISBN (Electronic)9781457714764, 9781457714740
ISBN (Print)9781457714757
DOIs
Publication statusPublished - Dec 2011
Externally publishedYes
Event9th IEEE International Conference on Control and Automation, ICCA 2011 - Santiago, Chile
Duration: 19 Dec 201121 Dec 2011

Publication series

NameIEEE International Conference on Control and Automation, ICCA
ISSN (Print)1948-3449
ISSN (Electronic)1948-3457

Conference

Conference9th IEEE International Conference on Control and Automation, ICCA 2011
Country/TerritoryChile
CitySantiago
Period19/12/1121/12/11

Keywords

  • Bias
  • Geolocation
  • Passive Localization
  • Scan-based localization
  • Targeting
  • Taylor series
  • Tracking

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