Hot Search : Source embeded web remote control p2p game More...
Location : Home Downloads Documents
  • Category : Documents
  • Tags :
  • Update : 2017-11-22
  • Size : 107kb
  • Downloaded :0次
  • Author :Casp*****
  • About : Nobody
  • PS : If download it fails, try it again. Download again for free!
Introduction - If you have any usage issues, please Google them yourself
In this paper, we investigate blind channel estimation for Multiple Input Multiple Output (MIMO) multi-carrier CDMA (MC-CDMA) systems in the uplink scenario. An Autocorrelation Contribution Matrix (ACM) method is proposed in comparison with the subspace approach. Using only second order statistics, the ACM approach shows similar performance to that of subspace based approach. The added advantage is that it eliminates the need for rank estimation and noise power calculation as in subspace technique. In particular we incorporate blind channel estimation with Layered Space Frequency Equalisation (LSFE),which employs successive interference cancellation and therefore provides significant performance improvement over the conventional linear minimum mean square error (MMSE) based approach.
Packet file list
(Preview for download)
FilenameSizeUpdate
1-comp.pdf 127972 2017-09-06
Related instructions
  • We are an exchange download platform that only provides communication channels. The downloaded content comes from the internet. Except for download issues, please Google on your own.
  • The downloaded content is provided for members to upload. If it unintentionally infringes on your copyright, please contact us.
  • Please use Winrar for decompression tools
  • If download fail, Try it againg or Feedback to us.
  • If downloaded content did not match the introduction, Feedback to us,Confirm and will be refund.
  • Before downloading, you can inquire through the uploaded person information

Nothing.

Post Comment
*Quick comment Recommend Not bad Password Unclear description Not source
Lost files Unable to decompress Bad
*Content :
*Captcha :
CodeBus is the largest source code store in internet!
Contact us :
1999-2046 CodeBus All Rights Reserved.