An algorithm for space–time block code classification using higher-order statistics (HOS)

This paper proposes a novel algorithm for space–time block code classification, when a single antenna is employed at the receiver. The algorithm exploits the discriminating features provided by the higher-order cumulants of the received signal. It does not require estimation of channel and informati...

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Detalles Bibliográficos
Autores principales: Yan, Wenjun, Zhang, Limin, Ling, Qing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2016
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4844593/
https://www.ncbi.nlm.nih.gov/pubmed/27186481
http://dx.doi.org/10.1186/s40064-016-2139-z
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author Yan, Wenjun
Zhang, Limin
Ling, Qing
author_facet Yan, Wenjun
Zhang, Limin
Ling, Qing
author_sort Yan, Wenjun
collection PubMed
description This paper proposes a novel algorithm for space–time block code classification, when a single antenna is employed at the receiver. The algorithm exploits the discriminating features provided by the higher-order cumulants of the received signal. It does not require estimation of channel and information of the noise. Computer simulations are conducted to evaluate the performance of the proposed algorithm. The results show the performance of the algorithm is good.
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spelling pubmed-48445932016-05-16 An algorithm for space–time block code classification using higher-order statistics (HOS) Yan, Wenjun Zhang, Limin Ling, Qing Springerplus Research This paper proposes a novel algorithm for space–time block code classification, when a single antenna is employed at the receiver. The algorithm exploits the discriminating features provided by the higher-order cumulants of the received signal. It does not require estimation of channel and information of the noise. Computer simulations are conducted to evaluate the performance of the proposed algorithm. The results show the performance of the algorithm is good. Springer International Publishing 2016-04-26 /pmc/articles/PMC4844593/ /pubmed/27186481 http://dx.doi.org/10.1186/s40064-016-2139-z Text en © Yan et al. 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Research
Yan, Wenjun
Zhang, Limin
Ling, Qing
An algorithm for space–time block code classification using higher-order statistics (HOS)
title An algorithm for space–time block code classification using higher-order statistics (HOS)
title_full An algorithm for space–time block code classification using higher-order statistics (HOS)
title_fullStr An algorithm for space–time block code classification using higher-order statistics (HOS)
title_full_unstemmed An algorithm for space–time block code classification using higher-order statistics (HOS)
title_short An algorithm for space–time block code classification using higher-order statistics (HOS)
title_sort algorithm for space–time block code classification using higher-order statistics (hos)
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4844593/
https://www.ncbi.nlm.nih.gov/pubmed/27186481
http://dx.doi.org/10.1186/s40064-016-2139-z
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