On the Use of Mpc Amplitude Information in Radio Signal Based Slam

Erik Leitinger, Stefan Grebien, Xuhong Li, Fredrik Tufvesson, Klaus Witrisal

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceedingpeer-review

Abstract

In this paper we present a Bayesian framework for utilizing the amplitude information of multipath components (MPCs) in radio-signal-based simultaneous localization and mapping (SLAM). The developed algorithm exploits the complex amplitudes of MPC parameters that are provided by the radio channel parameter estimator. With this information, the algorithm can adapt the probabilities of detecting features within a radio signal in a time-variant way. The algorithm increases the life-time of used features and it better explores 'weak' MPCs, i.e., MPCs with low signal-to-interference-plus-noise-ratios (SINRs) in dense multipath.

Original languageEnglish
Title of host publication2018 IEEE Statistical Signal Processing Workshop, SSP 2018
PublisherIEEE - Institute of Electrical and Electronics Engineers Inc.
Pages851-855
Number of pages5
ISBN (Print)9781538615706
DOIs
Publication statusPublished - 2018 Aug 30
Event20th IEEE Statistical Signal Processing Workshop, SSP 2018 - Freiburg im Breisgau, Germany
Duration: 2018 Jun 102018 Jun 13

Conference

Conference20th IEEE Statistical Signal Processing Workshop, SSP 2018
Country/TerritoryGermany
CityFreiburg im Breisgau
Period2018/06/102018/06/13

Subject classification (UKÄ)

  • Signal Processing

Free keywords

  • Bayesian SLAM
  • factor graph
  • localization
  • message passing
  • multipath channel
  • probabilistic data association
  • radio-signal-based positioning

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