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 language | English |
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Title of host publication | 2021 International Wireless Communications and Mobile Computing, IWCMC 2021 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 1338-1342 |
Number of pages | 5 |
ISBN (Electronic) | 9781728186160 |
DOIs | |
State | Published - 2021 |
Publication series
Name | 2021 International Wireless Communications and Mobile Computing, IWCMC 2021 |
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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