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Methods of SNR estimation from asynchronously sampled data in an 802.11b system
2004 (English)Independent thesis Advanced level (professional degree), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Data is sampled from an 802.11b client card and then analyzed. The behavior of the signal and the characteristics of the noise is explored. Several SNR esimation algorithms are implemented and applied on the collected data. The results of this is a comparison of different SNR estimation techniques, as well as a look at how the SNR of the signal decreases as the distance from the access point increases. The effects of asynchronous sampling are also investigated, and algorithms to reverse these effects are developed. Finally the efficiency of these algorithms are explored.

Place, publisher, year, edition, pages
2004.
Keyword [en]
Technology, SNR estimation, asynchronous sampling, WLAN, 802.11b
Keyword [sv]
Teknik
Identifiers
URN: urn:nbn:se:ltu:diva-56597ISRN: LTU-EX--04/002--SELocal ID: d5a78639-dc12-4d24-8e30-f6ff3f30a681OAI: oai:DiVA.org:ltu-56597DiVA: diva2:1029984
Subject / course
Student thesis, at least 30 credits
Educational program
Electrical Engineering, master's level
Examiners
Note
Validerat; 20101217 (root)Available from: 2016-10-04 Created: 2016-10-04Bibliographically approved

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • 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