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Efficient Cooperative Localization Algorithm in LOS/NLOS Environments
Technical University Darmstadt, Germany.
Ericsson AB, Sweden.
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, Faculty of Science & Engineering.
Technical University Darmstadt, Germany.
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2015 (English)In: Proc. 23rd European Signal Processing Conference (EUSIPCO), Institute of Electrical and Electronics Engineers (IEEE), 2015, 185-189 p.Conference paper (Refereed)
Abstract [en]

The well-known cooperative localization algorithm, ‘sum-product algorithm over a wireless network’ (SPAWN) hastwo major shortcomings, a relatively high computationalcomplexity and a large communication load. Using the Gaus-sian mixture model with a model selection criterion and thesigma-point (SP) methods, we propose the SPAWN-SP toovercome these problems. The SPAWN-SP easily accommo-dates different localization scenarios due to its high flexibilityin message representation. Furthermore, harsh LOS/NLOSenvironments are considered for the evaluation of coopera-tive localization algorithms. Our simulation results indicatethat the proposed SPAWN-SP demonstrates high localizationaccuracy in different localization scenarios, thanks to its highflexibility in message representation.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2015. 185-189 p.
, European Signal Processing Conference, ISSN 2076-1465
Keyword [en]
Cooperative localization, SPAWN, low-complexity, sigma-point methods
National Category
Communication Systems
URN: urn:nbn:se:liu:diva-121861DOI: 10.1109/EUSIPCO.2015.7362370ISI: 000377943800038ISBN: 978-0-9928-6263-3OAI: diva2:860194
23rd European Signal Processing Conference (EUSIPCO), Nice, France, August 31 - September 4
Available from: 2015-10-11 Created: 2015-10-11 Last updated: 2016-07-29

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Fritsche, CarstenGustafsson, Fredrik
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