Hybrid sparse/diffuse UWB channel estimation

Nicolò Michelusi, Urbashi Mitra, Michele Zorzi

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

6 Scopus citations

Abstract

The problem of channel estimation in ultra wideband (UWB) systems is investigated. While much prior work modeled the UWB channel as sparse, recent propagation studies suggest that, due to certain forms of scattering, a hybrid model, composed of both sparse and so-called diffuse components, is more appropriate. This new model is exploited to develop new channel estimation strategies based on the expectation-maximization algorithm. A theorem is provided which states the convergence of the iterative estimator for the sparsity level. The newly developed algorithms are compared to other schemes including recently popularized sparse approximation methods. Simulation results show that the new methods outperform the prior techniques which do not exploit the intrinsic nature of UWB propagation.

Original languageEnglish (US)
Title of host publication2011 IEEE 12th International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2011
Pages201-205
Number of pages5
DOIs
StatePublished - 2011
Externally publishedYes
Event2011 IEEE 12th International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2011 - San Francisco, CA, United States
Duration: Jun 26 2011Jun 29 2011

Publication series

NameIEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC

Other

Other2011 IEEE 12th International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2011
CountryUnited States
CitySan Francisco, CA
Period6/26/116/29/11

Keywords

  • Bayesian estimation
  • channel estimation
  • channel modeling
  • compressive sensing
  • Ultra Wideband systems

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Computer Science Applications
  • Information Systems

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