Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • 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
Modeling of Multiple-Input Multiple-Output Radio Propagation Channels
KTH, Superseded Departments, Signals, Sensors and Systems.
2002 (English)Licentiate thesis, comprehensive summary (Other scientific)
Abstract [en]

In recent years, multiple-input multiple-output (MIMO)systems appear to be very promising since they can provide highdata rates in environments with sucient scattering byexploiting the spatial domain. To design a real MIMO wirelesssystem and predict its performance under certain circumstances,it is necessary to have accurate MIMO wireless channel modelsfor dierent scenarios. This thesis presents dierent models forindoor MIMO radio propagation channels based on 5.2 GHz indoorMIMO channel measurements.The recent research on MIMO radio channel modeling isbriey reviewed in this thesis. The models are categorized intonon-physical and physical models. The non-physical modelsprimarily rely on the statistical characteristics of MIMOchannels obtained from the measured data while the physicalmodels describe the MIMO channel (or its distribution) via somephysical parameters. The relationships between dierent modelsare also discussed.For the narrowband case, a non line-of-sight (NLOS)indoor MIMO channel model is presented. The model is based on aKronecker structure of the channel covariance matrix and thefact that the channel is complex Gaussian. It is extended tothe line-of-sight (LOS) scenario by estimating and modeling thedominant component separately.As for the wideband case, two NLOS MIMO channel modelsare proposed. The rst model uses the power delay prole and theKronecker structure of the second order moments of each channeltap to model the wideband MIMO channel while the second modelcombines a simple single-input single-output (SISO) model withthe same Kronecker structure of the second order moments.Monte-Carlo simulations are used to generate indoor MIMOchannel realizations according to the above models. The resultsare compared with the measured data and good agreement has beenobserved.

Place, publisher, year, edition, pages
Stockholm: Signaler, sensorer och system , 2002. , 67 p.
Series
Trita-S3-SB, 0235
Keyword [en]
Antenna Array, Wireless Communications, MIMO Channel Model, MIMO Channel Measurements, MIMO Channel Capacity
Identifiers
URN: urn:nbn:se:kth:diva-1478ISBN: ISSN 1103-8039 OAI: oai:DiVA.org:kth-1478DiVA: diva2:7368
Note
NR 20140805Available from: 2002-09-23 Created: 2002-09-23Bibliographically approved

Open Access in DiVA

fulltext(1206 kB)2601 downloads
File information
File name FULLTEXT01.pdfFile size 1206 kBChecksum MD5
ab573e676300871294c27a8ca6d9c6f8c9aa2d5d0e63e3873879df8402e2a1bfd32349fe
Type fulltextMimetype application/pdf

By organisation
Signals, Sensors and Systems

Search outside of DiVA

GoogleGoogle Scholar
Total: 2601 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

isbn
urn-nbn

Altmetric score

isbn
urn-nbn
Total: 483 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • 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