Time-of-arrival motion positioning with the new concatenated IMM method

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

1 Scopus citations

Abstract

With the time-of-arrival (TOA) range measurements, the moving terminal (MT) usually moves with different dynamic models described in the mixed line-of-sight (LOS) and the non-line-of-sight (NLOS) environments. The measurement noise in the NLOS case is non-Gaussian, especially of a nonzero- mean long-tailed distribution such as the Laplacian noise. The conventional interacting multiple model (IMM) algorithm along with a robust extended Kalman filter has been used to tackle the change of LOS/NLOS models with a Markov chain. To incorporate the second Markov chain describing the change of different dynamic models in the IMM, a concatenated IMM algorithm composed of inner and outer layered IMM processes is developed in this paper. The validity and performance of the proposed algorithm are demonstrated in the cases of hybrid dynamic and measurement models.

Original languageEnglish
Title of host publication2015 IEEE Globecom Workshops, GC Wkshps 2015 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781467395267
DOIs
StatePublished - 2015
EventIEEE Globecom Workshops, GC Wkshps 2015 - San Diego, United States
Duration: 6 Dec 201510 Dec 2015

Publication series

Name2015 IEEE Globecom Workshops, GC Wkshps 2015 - Proceedings

Conference

ConferenceIEEE Globecom Workshops, GC Wkshps 2015
Country/TerritoryUnited States
CitySan Diego
Period6/12/1510/12/15

Keywords

  • Extended Kalman filter
  • IMM
  • NLOS
  • Non-Gaussian
  • TOA

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