• Home
  • About us
  • Your Publication
  • Catalogue
  • Newsletter
  • Help
  • Account
  • Contact / Imprint
Thesis - Publication series - Conference proceedings - Reference book - Lecture notes/Textbook - Journal - CD-/DVD-ROM - Online publication
Newsletter for authors and editors - New publications service - Archive
View basket
Catalogue : Details

Christopher Knievel

Multi-Dimensional Channel Estimation for MIMO-OFDM

ISBN:978-3-8440-3070-9
Series:Digital Communications
Herausgeber: Prof. Dr.-Ing. Peter Adam Höher
Kiel
Keywords:Channel Estimation; MIMO; OFDM; LTE; LTE-A; Graph theory; iterative detection
Type of publication:Thesis
Language:English
Pages:220 pages
Figures:172 figures
Weight:326 g
Format:21 x 14,8 cm
Bindung:Paperback
Price:49,80 € / 62,25 SFr
Published:October 2014
Buy:
  » plus shipping costs
Download:

Available PDF-Files for this title:

You need the Adobe Reader, to open the files. Here you get help and information, for the download.

These files are not printable.

 
 DocumentDocument 
 TypePDF 
 Costs12,45 EUR 
 ActionPurchase in obligation and display of file - 2,1 MB (2196808 Byte) 
 ActionPurchase in obligation and download of file - 2,1 MB (2196808 Byte) 
     
 
 DocumentTable of contents 
 TypePDF 
 Costsfree 
 ActionDiplay of file - 114 kB (117115 Byte) 
 ActionDownload of file - 114 kB (117115 Byte) 
     

User settings for registered users

You can change your address here or download your paid documents again.

User:  Not logged in.
Actions:  Login / Register
 Forgotten your password?
Recommendation:You want to recommend this title?
Review copyHere you can order a review copy.
LinkYou want to link this page? Click here.
AbstractDigital wireless communication started in the 1990s with the wide-spread deployment of GSM. Since then, wireless systems evolved dramatically. Current wireless standards approach the goal of an omnipresent communication system, which fulfills the wish to communicate with anyone, anywhere at anytime.
Unfortunately, the available radio spectrum is scarce and hence, needs to be utilized efficiently. Key technologies, such as multiple-input multiple-output (MIMO), orthogonal frequency-division multiplexing (OFDM) as well as various MIMO precoding techniques increase the theoretically achievable channel capacity considerably and are used in the majority of wireless standards. Iterative receivers which jointly carry out channel estimation and data detection are a potential enabler to reduce the pilot overhead and approach optimum capacity at often reduced complexity. In this thesis, a graph-based receiver is developed, which iteratively performs joint data detection and channel estimation. The proposed multi-dimensional factor graph introduces transfer nodes that exploit correlation of adjacent channel coefficients in an arbitrary number of dimensions (e.g. time, frequency, and space). This establishes a simple and flexible receiver structure that facilitates soft channel estimation and data detection in multi-dimensional dispersive channels, and supports arbitrary modulation and channel coding schemes.
The performance of the multi-dimensional graph-based soft iterative receiver is evaluated by means of Monte Carlo simulations. The achieved results are compared to the performance of an iterative state-of-the-art receiver. It is shown that a similar or better performance is achieved at a lower complexity.