Modified unbiased EM-based channel estimation for MIMO turbo receivers

Mohammad Ali Khalighi, Joseph Boutros

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

3 Citations (Scopus)

Abstract

We consider the channel estimation issue in a multiple inputs multiple outputs (MIMO) system using bit-interleaved coded modulation (BICM) scheme at transmitter and iterative detection based on maximum a posteriori (MAP) at receiver. Channel coefficients are updated in each iteration, using a semi-blind estimation technique based on the expectation maximization (EM) algorithm. We first consider a previously proposed approach based on EM, and show its disadvantages. We then propose a modification to it that provides an unbiased channel estimate and permits a better convergence of the iterative receiver. The proposed modification is of special interest for small ratios of pilot-to-data sequences length.

Original languageEnglish
Title of host publicationProceedings of the Fourth IEEE International Symposium on Signal Processing and Information Technology
Pages127-131
Number of pages5
Publication statusPublished - 1 Dec 2004
EventFourth IEEE International Symposium on Signal processing and Information Technology, ISSPIT 2004 - Rome, Italy
Duration: 18 Dec 200421 Dec 2004

Publication series

NameProceedings of the Fourth IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2004

Other

OtherFourth IEEE International Symposium on Signal processing and Information Technology, ISSPIT 2004
CountryItaly
CityRome
Period18/12/0421/12/04

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Keywords

  • Channel estimation
  • Expectation maximization
  • MAP detection
  • MIMO systems
  • Training sequences

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Khalighi, M. A., & Boutros, J. (2004). Modified unbiased EM-based channel estimation for MIMO turbo receivers. In Proceedings of the Fourth IEEE International Symposium on Signal Processing and Information Technology (pp. 127-131). (Proceedings of the Fourth IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2004).