Design and analysis framework for sparse FIR channel shortening

Abubakr O. Al-Abbasi, Ridha Hamila, Waheed U. Bajwa, Naofal Al-Dhahir

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

2 Scopus citations

Abstract

A major performance and complexity limitation in broadband communications is the long channel delay spread which results in a highly-frequency-selective channel frequency response. Channel shortening equalizers (CSEs) are used to ensure that the cascade of a long channel impulse response (CIR) and the CSE is approximately equivalent to a target impulse response (TIR) with much shorter delay spread. In this paper, we propose a general framework that transforms the problems of design of sparse CSE and TIR finite impulse response (FIR) filters into the problem of sparsest-approximation of a vector in different dictionaries. In addition, we compare several choices of sparsifying dictionaries under this framework. Furthermore, the worst-case coherence of these dictionaries, which determines their sparsifying effectiveness, are analytically and/or numerically evaluated. Finally, the usefulness of the proposed framework for the design of sparse CSE and TIR filters is validated through numerical experiments.

Original languageEnglish (US)
Title of host publication2016 IEEE International Conference on Communications, ICC 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479966646
DOIs
StatePublished - Jul 12 2016
Event2016 IEEE International Conference on Communications, ICC 2016 - Kuala Lumpur, Malaysia
Duration: May 22 2016May 27 2016

Publication series

Name2016 IEEE International Conference on Communications, ICC 2016

Other

Other2016 IEEE International Conference on Communications, ICC 2016
CountryMalaysia
CityKuala Lumpur
Period5/22/165/27/16

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications

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    Al-Abbasi, A. O., Hamila, R., Bajwa, W. U., & Al-Dhahir, N. (2016). Design and analysis framework for sparse FIR channel shortening. In 2016 IEEE International Conference on Communications, ICC 2016 [7511497] (2016 IEEE International Conference on Communications, ICC 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICC.2016.7511497