Blind 2D-SIMO Channel Identification using Helix Transform and Cross Relation Technique

Abdulmajid Lawal*, Karim Abed-Meraim, Naveed Iqbal, Azzedine Zerguine, Qadri Mayyala

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this paper, we introduce a novel approach for 2D blind multichannel identification using the helix transform in conjunction with the Cross Relation (CR) method. The helix transform is used to convert the 2D convolution of image and channels into 1D convolution. The CR method, known for its simplicity, efficiency and low computational cost, is then adapted and used to estimate the unknown channel coefficients. A main advantage of the proposed approach resides in its ability to help extending the plethora of methods from 1D to 2D blind system identification and ease their implementations.

Original languageEnglish
Title of host publication2021 International Wireless Communications and Mobile Computing, IWCMC 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1338-1342
Number of pages5
ISBN (Electronic)9781728186160
DOIs
StatePublished - 2021

Publication series

Name2021 International Wireless Communications and Mobile Computing, IWCMC 2021

Bibliographical note

Publisher Copyright:
© 2021 IEEE

Keywords

  • Blind identification
  • Cross relation
  • Helix transform
  • Multichannel (SIMO) system

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Signal Processing
  • Information Systems and Management
  • Safety, Risk, Reliability and Quality

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