A forward-backward kalman for the estimation of time-variant channels in OFDM

Tareq Y. Al-Naffouri*, Arogyswami Paulraj

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

OFDM combines the advantages of high achievable rates and relatively easy implementation. However, for proper recovery of the input, the OFDM receiver needs accurate channel information. In this paper, we propose an expectation-maximization (EM) algorithm for joint channel and data recovery. The algorithm makes use of the rich structure of the underlying communication problem- a structure induced by the data and channel constraints. These constraints include pilots, the cyclic prefix, and the finite alphabet constraints on the data, and sparsity, finite delay spread, and the statistical properties of the channel (frequency and time correlation). The algorithm boils down to a forward-backward (FB) Kalman filter. We also suggest a suboptimal modification that is able to track the channel and recover the data with no latency.

Original languageEnglish (US)
Title of host publication2005 IEEE 6th Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2005
Pages670-674
Number of pages5
Volume2005
DOIs
StatePublished - 2005
Externally publishedYes
Event2005 IEEE 6th Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2005 - New York, NY, United States
Duration: Jun 5 2005Jun 8 2005

Other

Other2005 IEEE 6th Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2005
CountryUnited States
CityNew York, NY
Period06/5/0506/8/05

ASJC Scopus subject areas

  • Signal Processing
  • Engineering(all)

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