Joint blind channel estimation and interference suppression for OFDM systems

Khaled Amleh, Hongbin Li

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


This paper presents a blind joint channel and interference suppression for orthogonal frequency-division multiplexing (OFDM) systems. Our approach uses a generalized multi-channel minimum variance principle to design an equalizing filterbank that preserves the desired signal components and suppresses the overall interference. Channel estimate is then obtained by deriving an asymptotically tight lower bound of the filterbank output power, which reduces the problem to a quadratic minimization. While a channel estimate may be obtained by directly maximizing the filterbank output power through multidimensional nonlinear searches, such an approach is computationally prohibitive and suffers local convergence. Numerical examples show that the proposed scheme approaches the Cramér-Rao bound (CRB) as the SNR increases. It also exhibits low sensitivity to unknown narrowband interference and compares favorably with a subspace blind channel estimator.

Original languageEnglish (US)
Title of host publication2005 IEEE International Conference on Acoustics, Speech, and Signal Processing,ICASSP '05 - Proceedings - Audio and ElectroacousticsSignal Processing for Communication
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Print)0780388747, 9780780388741
StatePublished - Jan 1 2005
Event2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '05 - Philadelphia, PA, United States
Duration: Mar 18 2005Mar 23 2005

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ISSN (Print)1520-6149


Other2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '05
CountryUnited States
CityPhiladelphia, PA

All Science Journal Classification (ASJC) codes

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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