Semi-blind channel identification and equalization in OFDM: An expectation-maximization approach

Tareq Y. Al-Naffouri*, Ahmad Bahai, Arogyaswami Paulraj

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

24 Scopus citations

Abstract

This work proposes an expectation-maximization approach to channel identification and equalization in OFDM. The algorithm exploits the natural constraints imposed by the channel (sparsity, maximum delay spread, and a priori statistical information) and those imposed by the transmitter (pilots, cyclic prefix, and the finite alphabet constraint). These constraints are used to reduce the number of pilots needed for channel and data recovery and also to perform this task within one packet.

Original languageEnglish (US)
Pages (from-to)13-17
Number of pages5
JournalIEEE Vehicular Technology Conference
Volume56
Issue number1
StatePublished - 2002
Externally publishedYes

ASJC Scopus subject areas

  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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