Wavelet preprocessed neural network based receiver for low SNR communication system

Husam Alzaq; B. Berk Ustundag

Wavelet preprocessed neural network based receiver for low SNR communication system

Husam Alzaq
, B. Berk Ustundag

Bilgisayar Mühendisliği Bölümü

Istanbul Technical University

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

4 Atıf (Scopus)

Özet

In this paper, we address the problem of digital modulation classification in Additive White Gaussian Noise (AWGN) for Pattern Based cognitive Communication System (PBCCS). In order to classify digital modulation signal reliably, we propose a cognitive receiver that is based on Wavelet filterbanks and Artificial Neural Network(ANN). We verify this system by using 3-bit, 4-bit and 5-bit glossary spaces. The performance of the proposed system is investigated through the simulations. The simulation results show that using wavelet transform and neural network, a signal-to-noise-ratio of -8, 0 and 4 dB is achieved at BER of 10^-5.

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	Proceedings of 21st European Wireless Conference, European Wireless 2015
Yayınlayan	Institute of Electrical and Electronics Engineers Inc.
ISBN (Elektronik)	9783800739769
Yayın durumu	Yayınlandı - 2015
Etkinlik	21st European Wireless Conference, European Wireless 2015 - Budapest, Hungary Süre: 20 May 2015 → 22 May 2015

Yayın serisi

Adı	Proceedings of 21st European Wireless Conference, European Wireless 2015

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???event.eventtypes.event.conference???	21st European Wireless Conference, European Wireless 2015
Ülke/Bölge	Hungary
Şehir	Budapest
Periyot	20/05/15 → 22/05/15

Bibliyografik not

Publisher Copyright:
© VDE Verlag GMBH, Berlin, Offenbach, Germany.

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

@inproceedings{bddeb78705cd4fb68a0a53bd0183e8ac,

title = "Wavelet preprocessed neural network based receiver for low SNR communication system",

abstract = "In this paper, we address the problem of digital modulation classification in Additive White Gaussian Noise (AWGN) for Pattern Based cognitive Communication System (PBCCS). In order to classify digital modulation signal reliably, we propose a cognitive receiver that is based on Wavelet filterbanks and Artificial Neural Network(ANN). We verify this system by using 3-bit, 4-bit and 5-bit glossary spaces. The performance of the proposed system is investigated through the simulations. The simulation results show that using wavelet transform and neural network, a signal-to-noise-ratio of -8, 0 and 4 dB is achieved at BER of 10-5.",

keywords = "Cognitive radio, Neural network, Pattern based cognitive communication system, Wavelet transform",

author = "Husam Alzaq and Ustundag, \{B. Berk\}",

note = "Publisher Copyright: {\textcopyright} VDE Verlag GMBH, Berlin, Offenbach, Germany.; 21st European Wireless Conference, European Wireless 2015 ; Conference date: 20-05-2015 Through 22-05-2015",

year = "2015",

language = "English",

series = "Proceedings of 21st European Wireless Conference, European Wireless 2015",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "Proceedings of 21st European Wireless Conference, European Wireless 2015",

address = "United States",

}

Alzaq, H & Ustundag, BB 2015, Wavelet preprocessed neural network based receiver for low SNR communication system. in Proceedings of 21st European Wireless Conference, European Wireless 2015., 7147724, Proceedings of 21st European Wireless Conference, European Wireless 2015, Institute of Electrical and Electronics Engineers Inc., 21st European Wireless Conference, European Wireless 2015, Budapest, Hungary, 20/05/15.

Wavelet preprocessed neural network based receiver for low SNR communication system. / Alzaq, Husam; Ustundag, B. Berk.
Proceedings of 21st European Wireless Conference, European Wireless 2015. Institute of Electrical and Electronics Engineers Inc., 2015. 7147724 (Proceedings of 21st European Wireless Conference, European Wireless 2015).

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

TY - GEN

T1 - Wavelet preprocessed neural network based receiver for low SNR communication system

AU - Alzaq, Husam

AU - Ustundag, B. Berk

PY - 2015

Y1 - 2015

N2 - In this paper, we address the problem of digital modulation classification in Additive White Gaussian Noise (AWGN) for Pattern Based cognitive Communication System (PBCCS). In order to classify digital modulation signal reliably, we propose a cognitive receiver that is based on Wavelet filterbanks and Artificial Neural Network(ANN). We verify this system by using 3-bit, 4-bit and 5-bit glossary spaces. The performance of the proposed system is investigated through the simulations. The simulation results show that using wavelet transform and neural network, a signal-to-noise-ratio of -8, 0 and 4 dB is achieved at BER of 10-5.

AB - In this paper, we address the problem of digital modulation classification in Additive White Gaussian Noise (AWGN) for Pattern Based cognitive Communication System (PBCCS). In order to classify digital modulation signal reliably, we propose a cognitive receiver that is based on Wavelet filterbanks and Artificial Neural Network(ANN). We verify this system by using 3-bit, 4-bit and 5-bit glossary spaces. The performance of the proposed system is investigated through the simulations. The simulation results show that using wavelet transform and neural network, a signal-to-noise-ratio of -8, 0 and 4 dB is achieved at BER of 10-5.

KW - Cognitive radio

KW - Neural network

KW - Pattern based cognitive communication system

KW - Wavelet transform

UR - https://www.scopus.com/pages/publications/84979710886

M3 - Conference contribution

AN - SCOPUS:84979710886

T3 - Proceedings of 21st European Wireless Conference, European Wireless 2015

BT - Proceedings of 21st European Wireless Conference, European Wireless 2015

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 21st European Wireless Conference, European Wireless 2015

Y2 - 20 May 2015 through 22 May 2015

ER -

Wavelet preprocessed neural network based receiver for low SNR communication system

Özet

Yayın serisi

???event.eventtypes.event.conference???

Bibliyografik not

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