liu.seSearch for publications in DiVA
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Dithering in Quantized RSS Based Localization
Technical University Darmstadt, Germany.
Technical University Darmstadt, Germany.
(Ericsson AB)
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, Faculty of Science & Engineering.
Show others and affiliations
2015 (English)In: Proc. IEEE 6th Int. Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), Institute of Electrical and Electronics Engineers (IEEE), 2015, 245-248 p.Conference paper, Published paper (Refereed)
Abstract [en]

We study maximum likelihood (ML) position estimation using quantized received signal strength measurements. In order to mitigate the undesired quantization effect in the observations, the dithering technique is adopted. Various dither noise distributions are considered and the corresponding likelihood functions are derived. Simulation results show that the proposed ML estimator with dithering is able to generate a significantly reduced bias but a modestly increased mean-square error as compared to the conventional ML estimator without dithering.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2015. 245-248 p.
Keyword [en]
Dithering, maximum likelihood estimation, localization, quantized received signal strength
National Category
Control Engineering Signal Processing
Identifiers
URN: urn:nbn:se:liu:diva-123709DOI: 10.1109/CAMSAP.2015.7383782ISI: 000380473300066ISBN: 978-1-4799-1963-5 (print)OAI: oai:DiVA.org:liu-123709DiVA: diva2:892289
Conference
IEEE 6th Int. Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), Cancun, Mexico, December 13-16, 2015
Available from: 2016-01-09 Created: 2016-01-09 Last updated: 2016-08-26

Open Access in DiVA

fulltext(265 kB)153 downloads
File information
File name FULLTEXT01.pdfFile size 265 kBChecksum SHA-512
d2d2e24674aac887919f2dd15562f1c6cc25e075d95bbaaf4c53f9cb90f3cf5b35046fc5e3ec40f42f80a16f85c85bfa870e5d74718e37afada274998d4cee75
Type fulltextMimetype application/pdf

Other links

Publisher's full text

Authority records BETA

Fritsche, CarstenGustafsson, Fredrik

Search in DiVA

By author/editor
Fritsche, CarstenGustafsson, Fredrik
By organisation
Automatic ControlFaculty of Science & Engineering
Control EngineeringSignal Processing

Search outside of DiVA

GoogleGoogle Scholar
Total: 153 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 263 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf