Characterization of wideband time-varying channels with multipath-scale diversity

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

3 Scopus citations

Abstract

In this paper, we present a characterization of wideband time-varying wireless channels based on a discrete time-scale framework that can provide multipath-scale diversity. This is important for systems such as underwater or airborne acoustics for which the narrowband conditions no longer hold, and time-scalings cannot be approximated by constant frequency shifts. We design a spreading waveform for direct-sequence code division multiple-access systems based on wavelet functions to realize orthogonal signaling. Furthermore, we use the orthogonal wavelet decomposition for direct channel estimation and coherent detection.

Original languageEnglish (US)
Title of host publicationProceedings of the 2003 IEEE Workshop on Statistical Signal Processing, SSP 2003
PublisherIEEE Computer Society
Pages50-53
Number of pages4
ISBN (Electronic)0780379977
DOIs
StatePublished - Jan 1 2003
EventIEEE Workshop on Statistical Signal Processing, SSP 2003 - St. Louis, United States
Duration: Sep 28 2003Oct 1 2003

Publication series

NameIEEE Workshop on Statistical Signal Processing Proceedings
Volume2003-January

Other

OtherIEEE Workshop on Statistical Signal Processing, SSP 2003
CountryUnited States
CitySt. Louis
Period9/28/0310/1/03

Keywords

  • Acoustic applications
  • Acoustic propagation
  • Channel estimation
  • Frequency
  • Multiaccess communication
  • Narrowband
  • Signal design
  • Time-varying channels
  • Underwater acoustics
  • Wideband

ASJC Scopus subject areas

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

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  • Cite this

    Jiang, Y., & Papandreou-Suppappola, A. (2003). Characterization of wideband time-varying channels with multipath-scale diversity. In Proceedings of the 2003 IEEE Workshop on Statistical Signal Processing, SSP 2003 (pp. 50-53). [1289337] (IEEE Workshop on Statistical Signal Processing Proceedings; Vol. 2003-January). IEEE Computer Society. https://doi.org/10.1109/SSP.2003.1289337