• Türkçe
    • English
  • English 
    • Türkçe
    • English
  • Login
View Item 
  •   DSpace@Işık
  • 1- Fakülteler | Faculties
  • Mühendislik Fakültesi / Faculty of Engineering
  • Elektrik-Elektronik Mühendisliği Bölümü / Department of Electrical-Electronics Engineering
  • MF - Bildiri Koleksiyonu | Elektrik-Elektronik Mühendisliği Bölümü / Department of Electrical-Electronics Engineering
  • View Item
  •   DSpace@Işık
  • 1- Fakülteler | Faculties
  • Mühendislik Fakültesi / Faculty of Engineering
  • Elektrik-Elektronik Mühendisliği Bölümü / Department of Electrical-Electronics Engineering
  • MF - Bildiri Koleksiyonu | Elektrik-Elektronik Mühendisliği Bölümü / Department of Electrical-Electronics Engineering
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

MIMO sinyalleri için uzay-zaman blok kodu klasifikasyonu

Thumbnail

View/Open

Publisher's Version (399.5Kb)

Date

2014-04-26

Author

Öner, Mustafa Mengüç
Turan, Merve
Çırpan, Hakan Ali

Metadata

Show full item record

Citation

Turan, M., Öner, M. M. & Çırpan, H. A. (2014). Space-time block code classification for MIMO signals. Paper presented at the 2014 22ND Signal Processing And Communications Applications Conference (SIU), 2039-2042. doi:10.1109/SIU.2014.6830660

Abstract

Bilinmeyen haberleşme sinyallerinin gözü kapalı ve işbirliksiz tanınması için geliştirilen teknikler, hem askeri hem de sivil uygulamalarda kullanım bulmuştur. Çok Girdili Çok Çıktılı (MIMO) haberleşme sistemleri, sinyal tanıma sistemleri için üstesinden gelinmesi gereken yeni problemler ortaya koymaktadır. MIMO haberleşmesinde kullanılan uzay zaman kodlarının gözükapalı tanınması bu problemlerin en önemlilerinden biri olarak görülebilir. Bu çalışmada uzay zaman blok kodlanmış sinyal vektörlerinin döngüsel-durağan (cyclostationary) karakteristiklerinin farklı uzay zaman blok kodlarını birbirinden ayırdetmek amacıyla kullanıldığı yenilikçi uzay-zaman kodu tanıma algoritmaları öneriyoruz.
 
Signal identification techniques developed for the purpose of blind and noncooperative identification of the transmission parameters of unknown communication signals have been employed both in military and civilian applications. Blind identification of the Space-Time Block Codes (STBC) used in a multiantenna transmisson can be regarded as one of the new and most significant challenges presented to the signal identification systems by the Multiple-Input-Multiple-Output (MIMO) transmission systems. In this work, we present novel STBC classification algorithms that exploit the cyclostationary characteristics of the coded transmit signals as discriminating features.
 

Source

2014 22ND Signal Processing And Communications Applications Conference (SIU)

URI

https://hdl.handle.net/11729/717
http://dx.doi.org/10.1109/SIU.2014.6830660

Collections

  • MF - Bildiri Koleksiyonu | Elektrik-Elektronik Mühendisliği Bölümü / Department of Electrical-Electronics Engineering [211]
  • Scopus İndeksli Bildiri Koleksiyonu [415]
  • WoS İndeksli Bildiri Koleksiyonu [333]

Related items

Showing items related by title, author, creator and subject.

  • Joint space time block code and modulation classification for MIMO systems 

    Bayer, Özgür; Öner, Mustafa Mengüç (Institute of Electrical and Electronics Engineers Inc, 2017-02)
    Non-cooperative identification of unknown communication signals is a popular research area with widespread civilian and military applications. Multiple input multiple output (MIMO) systems employing multi-antenna transmission ...
  • Signal identification for multiple-antenna wireless systems: achievements and challenges 

    Öner, Mustafa Mengüç; Eldemerdash, Yahia A.; Dobre, Octavia A. (IEEE, 2016-01-18)
    Signal identification is an umbrella term for signal processing techniques designed for the identification of the transmission parameters of unknown or partially known communication signals. Initially a key technology for ...
  • Automatic modulation classification for mimo systems using fourth-order cumulants 

    Öner, Mustafa Mengüç; Mühlhaus, Michael S.; Dobre, Octavia Adina; Jkel, Holger U.; Jondral, Friedrich K. (IEEE, 2012)
    Automatic classification of the modulation type of an unknown communication signal is a challenging task, with applications in both commercial and military contexts, such as spectrum surveillance, cognitive radio, and ...



DSpace software copyright © 2002-2015  DuraSpace
Contact Us | Send Feedback
Theme by 
@mire NV
 

 




| Policy | Guide | Contact |

DSpace@Işık

by OpenAIRE
Advanced Search

sherpa/romeo

Browse

All of DSpaceCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsTypeLanguageDepartmentCategoryPublisherAccess TypeIşık AuthorCitationThis CollectionBy Issue DateAuthorsTitlesSubjectsTypeLanguageDepartmentCategoryPublisherAccess TypeIşık AuthorCitation

My Account

LoginRegister

Statistics

View Google Analytics Statistics

DSpace software copyright © 2002-2015  DuraSpace
Contact Us | Send Feedback
Theme by 
@mire NV
 

 


|| Policy || Guide || Library || Işık University || OAI-PMH ||

Işık University Library, Şile, İstanbul, Turkey
If you find any errors in content please report us

Creative Commons License
Işık University Institutional Repository is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 4.0 Unported License..

DSpace@Işık:


DSpace 6.2

tarafından İdeal DSpace hizmetleri çerçevesinde özelleştirilerek kurulmuştur.