On the Use of Mpc Amplitude Information in Radio Signal Based Slam
(2018) 20th IEEE Statistical Signal Processing Workshop, SSP 2018 p.851-855- 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.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/90617452-a635-40c3-8c18-875f1b310417
- author
- Leitinger, Erik LU ; Grebien, Stefan ; Li, Xuhong LU ; Tufvesson, Fredrik LU and Witrisal, Klaus
- organization
- publishing date
- 2018-08-30
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- Bayesian SLAM, factor graph, localization, message passing, multipath channel, probabilistic data association, radio-signal-based positioning
- host publication
- 2018 IEEE Statistical Signal Processing Workshop, SSP 2018
- article number
- 8450734
- pages
- 5 pages
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- conference name
- 20th IEEE Statistical Signal Processing Workshop, SSP 2018
- conference location
- Freiburg im Breisgau, Germany
- conference dates
- 2018-06-10 - 2018-06-13
- external identifiers
-
- scopus:85053837867
- ISBN
- 9781538615706
- DOI
- 10.1109/SSP.2018.8450734
- language
- English
- LU publication?
- yes
- id
- 90617452-a635-40c3-8c18-875f1b310417
- date added to LUP
- 2018-10-17 13:54:20
- date last changed
- 2022-05-03 06:33:10
@inproceedings{90617452-a635-40c3-8c18-875f1b310417, abstract = {{<p>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.</p>}}, author = {{Leitinger, Erik and Grebien, Stefan and Li, Xuhong and Tufvesson, Fredrik and Witrisal, Klaus}}, booktitle = {{2018 IEEE Statistical Signal Processing Workshop, SSP 2018}}, isbn = {{9781538615706}}, keywords = {{Bayesian SLAM; factor graph; localization; message passing; multipath channel; probabilistic data association; radio-signal-based positioning}}, language = {{eng}}, month = {{08}}, pages = {{851--855}}, publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}}, title = {{On the Use of Mpc Amplitude Information in Radio Signal Based Slam}}, url = {{http://dx.doi.org/10.1109/SSP.2018.8450734}}, doi = {{10.1109/SSP.2018.8450734}}, year = {{2018}}, }