Hybrid sparse/diffuse channels: A new model and estimators for wideband channels

Nicolo Michelusi, Urbashi Mitra, Andreas F. Molisch, Michele Zorzi

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

Abstract

While purely sparse channel models have been recently investigated for underwater acoustic channels, experimental propagation data suggests that the channel is more complex. Thus, herein we propose a novel channel model based on both diffuse and sparse components. Tailored to this hybrid model, channel estimators are designed for different scenarios which differ in the amount of side information available at the receiver. The proposed channel estimation methods are compared to unstructured and purely sparse estimators. The numerical results show that the new channel estimation schemes considerably improve the estimation accuracy and the bit error rate performance over conventional channel estimators. Further, a mean squared error analysis of the proposed estimators is conducted in two asymptotic regimes (high SNR and low SNR) enabling a simple characterization and thus comparison of the proposed estimators.

Original languageEnglish (US)
Title of host publication2011 49th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2011
Pages477-484
Number of pages8
DOIs
StatePublished - 2011
Externally publishedYes
Event2011 49th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2011 - Monticello, IL, United States
Duration: Sep 28 2011Sep 30 2011

Publication series

Name2011 49th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2011

Other

Other2011 49th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2011
CountryUnited States
CityMonticello, IL
Period9/28/119/30/11

Keywords

  • Bayesian estimation
  • channel estimation
  • channel modeling
  • sparse approximations
  • Ultra Wideband

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Control and Systems Engineering

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