Enerji̇ sezi̇mi̇ yöntemi̇yle çörp Z dönüşümü temelli̇ spektrum algilama

Mustafa Namdar; Bariş Şahin; Haci Ilhan; Lütfiye Durak-Ata

doi:10.1109/SIU.2012.6204563

Enerji̇ sezi̇mi̇ yöntemi̇yle çörp Z dönüşümü temelli̇ spektrum algilama

Translated title of the contribution: Chirp Z transform based spectrum sensing via energy detection

Mustafa Namdar^*, Bariş Şahin, Haci Ilhan, Lütfiye Durak-Ata

^*Corresponding author for this work

Yildiz Technical University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Citations (Scopus)

Abstract

In this study, the performance analysis of Fast Fourier Transform and Chirp Z transform based OFDM systems for cognitive radio networks with energy detector model for the spectrum sensing method is realized. Here, energy detection model for noncooperative spectrum sensing is investigated. On the other hand, the analysis is implemented by segmented Chirp z transform. In this study Chirp z transform based spectrum sensing is proposed for the increase of dispersed spectrum utilization and in this context firstly used in literature. Also with the system model, using inverse fast Fourier transform in transmitter and Chirp z transform in receiver rather than fast Fourier transform, the computational complexity and the processing time are reduced, and performance increase is observed for high signal to noise ratio values.

Translated title of the contribution	Chirp Z transform based spectrum sensing via energy detection
Original language	Turkish
Title of host publication	2012 20th Signal Processing and Communications Applications Conference, SIU 2012, Proceedings
DOIs	https://doi.org/10.1109/SIU.2012.6204563
Publication status	Published - 2012
Externally published	Yes
Event	2012 20th Signal Processing and Communications Applications Conference, SIU 2012 - Fethiye, Mugla, Turkey Duration: 18 Apr 2012 → 20 Apr 2012

Publication series

Name	2012 20th Signal Processing and Communications Applications Conference, SIU 2012, Proceedings

Conference

Conference	2012 20th Signal Processing and Communications Applications Conference, SIU 2012
Country/Territory	Turkey
City	Fethiye, Mugla
Period	18/04/12 → 20/04/12

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10.1109/SIU.2012.6204563

Cite this

Namdar, M., Şahin, B., Ilhan, H., & Durak-Ata, L. (2012). Enerji̇ sezi̇mi̇ yöntemi̇yle çörp Z dönüşümü temelli̇ spektrum algilama. In 2012 20th Signal Processing and Communications Applications Conference, SIU 2012, Proceedings Article 6204563 (2012 20th Signal Processing and Communications Applications Conference, SIU 2012, Proceedings). https://doi.org/10.1109/SIU.2012.6204563

@inproceedings{1bc4dfa07aa14e899cd4726e487b54cf,

title = "Enerj{\.i} sez{\.i}m{\.i} y{\"o}ntem{\.i}yle {\c c}{\"o}rp Z d{\"o}n{\"u}{\c s}{\"u}m{\"u} temell{\.i} spektrum algilama",

abstract = "In this study, the performance analysis of Fast Fourier Transform and Chirp Z transform based OFDM systems for cognitive radio networks with energy detector model for the spectrum sensing method is realized. Here, energy detection model for noncooperative spectrum sensing is investigated. On the other hand, the analysis is implemented by segmented Chirp z transform. In this study Chirp z transform based spectrum sensing is proposed for the increase of dispersed spectrum utilization and in this context firstly used in literature. Also with the system model, using inverse fast Fourier transform in transmitter and Chirp z transform in receiver rather than fast Fourier transform, the computational complexity and the processing time are reduced, and performance increase is observed for high signal to noise ratio values.",

author = "Mustafa Namdar and Bari{\c s} {\c S}ahin and Haci Ilhan and L{\"u}tfiye Durak-Ata",

year = "2012",

doi = "10.1109/SIU.2012.6204563",

language = "T{\"u}rk{\c c}e",

isbn = "9781467300568",

series = "2012 20th Signal Processing and Communications Applications Conference, SIU 2012, Proceedings",

booktitle = "2012 20th Signal Processing and Communications Applications Conference, SIU 2012, Proceedings",

note = "2012 20th Signal Processing and Communications Applications Conference, SIU 2012 ; Conference date: 18-04-2012 Through 20-04-2012",

}

Namdar, M, Şahin, B, Ilhan, H & Durak-Ata, L 2012, Enerji̇ sezi̇mi̇ yöntemi̇yle çörp Z dönüşümü temelli̇ spektrum algilama. in 2012 20th Signal Processing and Communications Applications Conference, SIU 2012, Proceedings., 6204563, 2012 20th Signal Processing and Communications Applications Conference, SIU 2012, Proceedings, 2012 20th Signal Processing and Communications Applications Conference, SIU 2012, Fethiye, Mugla, Turkey, 18/04/12. https://doi.org/10.1109/SIU.2012.6204563

Enerji̇ sezi̇mi̇ yöntemi̇yle çörp Z dönüşümü temelli̇ spektrum algilama. / Namdar, Mustafa; Şahin, Bariş; Ilhan, Haci et al.
2012 20th Signal Processing and Communications Applications Conference, SIU 2012, Proceedings. 2012. 6204563 (2012 20th Signal Processing and Communications Applications Conference, SIU 2012, Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Enerji̇ sezi̇mi̇ yöntemi̇yle çörp Z dönüşümü temelli̇ spektrum algilama

AU - Namdar, Mustafa

AU - Şahin, Bariş

AU - Ilhan, Haci

AU - Durak-Ata, Lütfiye

PY - 2012

Y1 - 2012

N2 - In this study, the performance analysis of Fast Fourier Transform and Chirp Z transform based OFDM systems for cognitive radio networks with energy detector model for the spectrum sensing method is realized. Here, energy detection model for noncooperative spectrum sensing is investigated. On the other hand, the analysis is implemented by segmented Chirp z transform. In this study Chirp z transform based spectrum sensing is proposed for the increase of dispersed spectrum utilization and in this context firstly used in literature. Also with the system model, using inverse fast Fourier transform in transmitter and Chirp z transform in receiver rather than fast Fourier transform, the computational complexity and the processing time are reduced, and performance increase is observed for high signal to noise ratio values.

AB - In this study, the performance analysis of Fast Fourier Transform and Chirp Z transform based OFDM systems for cognitive radio networks with energy detector model for the spectrum sensing method is realized. Here, energy detection model for noncooperative spectrum sensing is investigated. On the other hand, the analysis is implemented by segmented Chirp z transform. In this study Chirp z transform based spectrum sensing is proposed for the increase of dispersed spectrum utilization and in this context firstly used in literature. Also with the system model, using inverse fast Fourier transform in transmitter and Chirp z transform in receiver rather than fast Fourier transform, the computational complexity and the processing time are reduced, and performance increase is observed for high signal to noise ratio values.

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U2 - 10.1109/SIU.2012.6204563

DO - 10.1109/SIU.2012.6204563

M3 - Konferans katkısı

AN - SCOPUS:84863464634

SN - 9781467300568

T3 - 2012 20th Signal Processing and Communications Applications Conference, SIU 2012, Proceedings

BT - 2012 20th Signal Processing and Communications Applications Conference, SIU 2012, Proceedings

T2 - 2012 20th Signal Processing and Communications Applications Conference, SIU 2012

Y2 - 18 April 2012 through 20 April 2012

ER -

Enerji̇ sezi̇mi̇ yöntemi̇yle çörp Z dönüşümü temelli̇ spektrum algilama

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