Blind channel estimation for single carrier and multicarrier systems

Khaled Amleh, Hongbin Li

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Block transmission has recently been considered as an alternative to the conventional continuous transmission technique. In particular, block transmission with zero padding (ZP) was noticed for its ability to recover transmitted symbols regardless of the channel zero locations. In this paper, we present blind channel estimators for block transmission employing zero padding for both single carrier (SC) and multicarrier (MC) systems in the presence of narrowband interference. The proposed estimators take the same form, which gives flexibility for application to either SC or MC with minor changes. Our approach uses a generalized multichannel minimum variance principle to design an equalizing filterbank. Channel estimate is then obtained by deriving an asymptotically tight lower bound of the filterbank output power. Numerical examples show that the proposed schemes exhibit low sensitivity to unknown narrowband interference and compare favorably with a subspace blind channel estimator.

Original languageEnglish (US)
Title of host publicationWMSCI 2006 - The 10th World Multi-Conference on Systemics, Cybernetics and Informatics, Jointly with the 12th International Conference on Information Systems Analysis and Synthesis, ISAS 2006 - Proc.
Pages111-115
Number of pages5
StatePublished - 2006
Event10th World Multi-Conference on Systemics, Cybernetics and Informatics, WMSCI 2006, Jointly with the 12th International Conference on Information Systems Analysis and Synthesis, ISAS 2006 - Orlando, FL, United States
Duration: Jul 16 2006Jul 19 2006

Publication series

NameWMSCI 2006 - The 10th World Multi-Conference on Systemics, Cybernetics and Informatics, Jointly with the 12th International Conference on Information Systems Analysis and Synthesis, ISAS 2006 - Proc.
Volume5

Other

Other10th World Multi-Conference on Systemics, Cybernetics and Informatics, WMSCI 2006, Jointly with the 12th International Conference on Information Systems Analysis and Synthesis, ISAS 2006
Country/TerritoryUnited States
CityOrlando, FL
Period7/16/067/19/06

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Networks and Communications
  • Information Systems

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