Channel estimation using time-frequency techniques

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

1 Scopus citations

Abstract

We propose the use of time-varying signals and time-frequency techniques to estimate fast fading channels with unknown state information. Specifically, we apply the reassigned spectrogram to estimate multiple sinusoids resulting from transmitting and processing two linear frequency-modulated (FM) chirp pilots. The estimation procedure is complicated by the need to pair sinusoids resulting from the same multipath. This problem is overcome using a single nonlinear FM chirp pilot with power characteristics. The channel estimation simplifies to estimating linear FM chirps which we perform using the modified matching pursuit decomposition algorithm. Simulations demonstrate the increased estimation performance when pilot signals with nonlinear structures are used instead of linear structured ones.

Original languageEnglish (US)
Title of host publication2005 IEEE ICASSP '05 - Proc. - Design and Implementation of Signal Proces.Syst.,Indust. Technol. Track,Machine Learning for Signal Proces. Signal Proces. Education, Spec. Sessions
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages513-516
Number of pages4
ISBN (Print)0780388747, 9780780388741
DOIs
StatePublished - 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
VolumeIV
ISSN (Print)1520-6149

Other

Other2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '05
CountryUnited States
CityPhiladelphia, PA
Period3/18/053/23/05

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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    Shen, H., & Papandreou-Suppappola, A. (2005). Channel estimation using time-frequency techniques. In 2005 IEEE ICASSP '05 - Proc. - Design and Implementation of Signal Proces.Syst.,Indust. Technol. Track,Machine Learning for Signal Proces. Signal Proces. Education, Spec. Sessions (pp. 513-516). [1416058] (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; Vol. IV). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICASSP.2005.1416058