Bayesian Detection and Tracking for Joint Positioning and Multipath Mitigation in GNSS
(2008) Workshop on Positioning, Navigation and Communication (WPNC) p.173-180- Abstract
- A sequential Bayesian estimation algorithm for joint positioning and multipath mitigation in global navigation satellite systems is presented, with an underlying process model that is especially designed for dynamic user scenarios and dynamic channel conditions. In order to facilitate efficient integration into receivers it builds upon complexity reduction concepts that previously have been applied within maximum likelihood estimators. To demonstrate its capabilities simulation results are presented.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/3731388
- author
- Krach, Bernhard ; Lentmaier, Michael LU and Robertson, Patrick
- organization
- publishing date
- 2008
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- GNSS, multipath mitigation, particle filtering
- host publication
- 2008 5th Workshop on Positioning, Navigation and Communication
- pages
- 173 - 180
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- conference name
- Workshop on Positioning, Navigation and Communication (WPNC)
- conference location
- Hannover, Germany
- conference dates
- 2008-03-27
- external identifiers
-
- scopus:51349120041
- ISBN
- 978-1-4244-1798-8
- DOI
- 10.1109/WPNC.2008.4510372
- language
- English
- LU publication?
- no
- id
- ec9c2a29-3a62-4073-b30f-86135045fc21 (old id 3731388)
- date added to LUP
- 2016-04-04 10:25:14
- date last changed
- 2022-01-29 20:15:26
@inproceedings{ec9c2a29-3a62-4073-b30f-86135045fc21, abstract = {{A sequential Bayesian estimation algorithm for joint positioning and multipath mitigation in global navigation satellite systems is presented, with an underlying process model that is especially designed for dynamic user scenarios and dynamic channel conditions. In order to facilitate efficient integration into receivers it builds upon complexity reduction concepts that previously have been applied within maximum likelihood estimators. To demonstrate its capabilities simulation results are presented.}}, author = {{Krach, Bernhard and Lentmaier, Michael and Robertson, Patrick}}, booktitle = {{2008 5th Workshop on Positioning, Navigation and Communication}}, isbn = {{978-1-4244-1798-8}}, keywords = {{GNSS; multipath mitigation; particle filtering}}, language = {{eng}}, pages = {{173--180}}, publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}}, title = {{Bayesian Detection and Tracking for Joint Positioning and Multipath Mitigation in GNSS}}, url = {{https://lup.lub.lu.se/search/files/5534766/3731392.pdf}}, doi = {{10.1109/WPNC.2008.4510372}}, year = {{2008}}, }