Periyodik Birbiçimli Olmayan Örnekleme ile Spektrum Sezme

Hasan Basri Çelebi; Lutfiye Durak-Ata

doi:10.1109/SIU.2015.7130308

Periyodik Birbiçimli Olmayan Örnekleme ile Spektrum Sezme

Hasan Basri Çelebi
, Lutfiye Durak-Ata

TÜBITAK-BILGEM
Yildiz Technical University

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

Özet

New wireless communication technologies increase the demand for spectrum sensing. However due to the limitations of analogue-to-digital converters, sampling a wide spectrum still remains as a major problem. In this paper, a method for estimating the power spectrum density (PSD) from multi-coset (MC) samples, which is a special sub-Nyquist sampling method, is explained. In order to see the feasibility of the method, widesense spectrum measurements are taken from a vector signal analyzer and each measurement is MC sampled. Then the PSD estimation is compared with the original PSD of the signal. False alarm rates for different variations are analyzed.

Tercüme edilen katkı başlığı	Spectrum sensing with periodic non-uniform sampling
Orijinal dil	Türkçe
Ana bilgisayar yayını başlığı	2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings
Yayınlayan	Institute of Electrical and Electronics Engineers Inc.
Sayfalar	2190
Sayfa sayısı	1
ISBN (Elektronik)	9781467373869
DOI'lar	https://doi.org/10.1109/SIU.2015.7130308
Yayın durumu	Yayınlandı - 19 Haz 2015
Harici olarak yayınlandı	Evet
Etkinlik	2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Malatya, Türkiye Süre: 16 May 2015 → 19 May 2015

Yayın serisi

Adı	2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings

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

???event.eventtypes.event.conference???	2015 23rd Signal Processing and Communications Applications Conference, SIU 2015
Ülke/Bölge	Türkiye
Şehir	Malatya
Periyot	16/05/15 → 19/05/15

Bibliyografik not

Publisher Copyright:
© 2015 IEEE.

Keywords

Sub-Nyquist sampling
multi-coset sampling
power spectral density

Belgeye Erişim

10.1109/SIU.2015.7130308

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

Çelebi, H. B., & Durak-Ata, L. (2015). Periyodik Birbiçimli Olmayan Örnekleme ile Spektrum Sezme. In 2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings (pp. 2190). Makale 7130308 (2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SIU.2015.7130308

Çelebi, Hasan Basri ; Durak-Ata, Lutfiye. / Periyodik Birbiçimli Olmayan Örnekleme ile Spektrum Sezme. 2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 2190 (2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings).

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title = "Periyodik Birbi{\c c}imli Olmayan {\"O}rnekleme ile Spektrum Sezme",

abstract = "New wireless communication technologies increase the demand for spectrum sensing. However due to the limitations of analogue-to-digital converters, sampling a wide spectrum still remains as a major problem. In this paper, a method for estimating the power spectrum density (PSD) from multi-coset (MC) samples, which is a special sub-Nyquist sampling method, is explained. In order to see the feasibility of the method, widesense spectrum measurements are taken from a vector signal analyzer and each measurement is MC sampled. Then the PSD estimation is compared with the original PSD of the signal. False alarm rates for different variations are analyzed.",

keywords = "Sub-Nyquist sampling, multi-coset sampling, power spectral density",

author = "{\c C}elebi, \{Hasan Basri\} and Lutfiye Durak-Ata",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 ; Conference date: 16-05-2015 Through 19-05-2015",

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doi = "10.1109/SIU.2015.7130308",

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Çelebi, HB & Durak-Ata, L 2015, Periyodik Birbiçimli Olmayan Örnekleme ile Spektrum Sezme. in 2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings., 7130308, 2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 2190, 2015 23rd Signal Processing and Communications Applications Conference, SIU 2015, Malatya, Türkiye, 16/05/15. https://doi.org/10.1109/SIU.2015.7130308

Periyodik Birbiçimli Olmayan Örnekleme ile Spektrum Sezme. / Çelebi, Hasan Basri; Durak-Ata, Lutfiye.
2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2015. p. 2190 7130308 (2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings).

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

TY - GEN

T1 - Periyodik Birbiçimli Olmayan Örnekleme ile Spektrum Sezme

AU - Çelebi, Hasan Basri

AU - Durak-Ata, Lutfiye

PY - 2015/6/19

Y1 - 2015/6/19

N2 - New wireless communication technologies increase the demand for spectrum sensing. However due to the limitations of analogue-to-digital converters, sampling a wide spectrum still remains as a major problem. In this paper, a method for estimating the power spectrum density (PSD) from multi-coset (MC) samples, which is a special sub-Nyquist sampling method, is explained. In order to see the feasibility of the method, widesense spectrum measurements are taken from a vector signal analyzer and each measurement is MC sampled. Then the PSD estimation is compared with the original PSD of the signal. False alarm rates for different variations are analyzed.

AB - New wireless communication technologies increase the demand for spectrum sensing. However due to the limitations of analogue-to-digital converters, sampling a wide spectrum still remains as a major problem. In this paper, a method for estimating the power spectrum density (PSD) from multi-coset (MC) samples, which is a special sub-Nyquist sampling method, is explained. In order to see the feasibility of the method, widesense spectrum measurements are taken from a vector signal analyzer and each measurement is MC sampled. Then the PSD estimation is compared with the original PSD of the signal. False alarm rates for different variations are analyzed.

KW - Sub-Nyquist sampling

KW - multi-coset sampling

KW - power spectral density

UR - https://www.scopus.com/pages/publications/84939165020

U2 - 10.1109/SIU.2015.7130308

DO - 10.1109/SIU.2015.7130308

M3 - Konferans katkısı

AN - SCOPUS:84939165020

T3 - 2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings

SP - 2190

BT - 2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2015 23rd Signal Processing and Communications Applications Conference, SIU 2015

Y2 - 16 May 2015 through 19 May 2015

ER -

Çelebi HB, Durak-Ata L. Periyodik Birbiçimli Olmayan Örnekleme ile Spektrum Sezme. In 2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2015. p. 2190. 7130308. (2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings). doi: 10.1109/SIU.2015.7130308

Periyodik Birbiçimli Olmayan Örnekleme ile Spektrum Sezme

Özet

Yayın serisi

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

Bibliyografik not

Keywords

Belgeye Erişim

Diğer Dosyalar ve Linkler

Parmak izi

Alıntı Yap