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

Translated title of the contribution: Spectrum sensing with periodic non-uniform sampling

Hasan Basri Çelebi, Lutfiye Durak-Ata

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

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.

Translated title of the contribution	Spectrum sensing with periodic non-uniform sampling
Original language	Turkish
Title of host publication	2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	2190
Number of pages	1
ISBN (Electronic)	9781467373869
DOIs	https://doi.org/10.1109/SIU.2015.7130308
Publication status	Published - 19 Jun 2015
Externally published	Yes
Event	2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Malatya, Turkey Duration: 16 May 2015 → 19 May 2015

Publication series

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

Conference

Conference	2015 23rd Signal Processing and Communications Applications Conference, SIU 2015
Country/Territory	Turkey
City	Malatya
Period	16/05/15 → 19/05/15

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

Access to Document

10.1109/SIU.2015.7130308

Cite this

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). Article 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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series = "2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings",

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

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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, Turkey, 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).

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

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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

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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.

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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

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