Frekans Atlamali Sinyaller icin Olcum Tabanli Gelis Acisi Kestirimi

Batuhan Kaplan; Ibrahim Kahraman; Ali Riza Ekti; Serhan Yarkan; Hakan Ali Cirpan

doi:10.1109/SIU49456.2020.9302256

Frekans Atlamali Sinyaller icin Olcum Tabanli Gelis Acisi Kestirimi

Translated title of the contribution: Measurement Based Direction of Arrival Estimation for Frequency Hopping Signals

Batuhan Kaplan, Ibrahim Kahraman, Ali Riza Ekti, Serhan Yarkan, Hakan Ali Cirpan

Department of Electronics and Communication Engineering

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

Abstract

In this paper, the problem of measurement-based angle of arrival estimation for frequency hopping signals is discussed. While the angle of arrival estimation is important information for many subjects, obtaining the angle of arrival estimation for frequency hopping signals is needed a different approach. A method based on resampling and noise reduction is proposed upon the reconstruction of the wideband received frequency hopping signal under the real-world conditions by using time-frequency analysis. Then, multiple signal classification (MUSIC) algorithm is used to obtain measurement based angle of arrival estimation of frequency hopping signals. The effectiveness of the proposed method is shown by the results of testing for two different location points.

Translated title of the contribution	Measurement Based Direction of Arrival Estimation for Frequency Hopping Signals
Original language	Turkish
Title of host publication	2020 28th Signal Processing and Communications Applications Conference, SIU 2020 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728172064
DOIs	https://doi.org/10.1109/SIU49456.2020.9302256
Publication status	Published - 5 Oct 2020
Event	28th Signal Processing and Communications Applications Conference, SIU 2020 - Gaziantep, Turkey Duration: 5 Oct 2020 → 7 Oct 2020

Publication series

Name	2020 28th Signal Processing and Communications Applications Conference, SIU 2020 - Proceedings

Conference

Conference	28th Signal Processing and Communications Applications Conference, SIU 2020
Country/Territory	Turkey
City	Gaziantep
Period	5/10/20 → 7/10/20

Bibliographical note

Publisher Copyright:
© 2020 IEEE.

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10.1109/SIU49456.2020.9302256

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Kaplan, B., Kahraman, I., Ekti, A. R., Yarkan, S., & Cirpan, H. A. (2020). Frekans Atlamali Sinyaller icin Olcum Tabanli Gelis Acisi Kestirimi. In 2020 28th Signal Processing and Communications Applications Conference, SIU 2020 - Proceedings Article 9302256 (2020 28th Signal Processing and Communications Applications Conference, SIU 2020 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SIU49456.2020.9302256

Kaplan, Batuhan ; Kahraman, Ibrahim ; Ekti, Ali Riza et al. / Frekans Atlamali Sinyaller icin Olcum Tabanli Gelis Acisi Kestirimi. 2020 28th Signal Processing and Communications Applications Conference, SIU 2020 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2020. (2020 28th Signal Processing and Communications Applications Conference, SIU 2020 - Proceedings).

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abstract = "In this paper, the problem of measurement-based angle of arrival estimation for frequency hopping signals is discussed. While the angle of arrival estimation is important information for many subjects, obtaining the angle of arrival estimation for frequency hopping signals is needed a different approach. A method based on resampling and noise reduction is proposed upon the reconstruction of the wideband received frequency hopping signal under the real-world conditions by using time-frequency analysis. Then, multiple signal classification (MUSIC) algorithm is used to obtain measurement based angle of arrival estimation of frequency hopping signals. The effectiveness of the proposed method is shown by the results of testing for two different location points.",

keywords = "MUSIC, angle of arrival, frequency hopping signals",

author = "Batuhan Kaplan and Ibrahim Kahraman and Ekti, {Ali Riza} and Serhan Yarkan and Cirpan, {Hakan Ali}",

note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 28th Signal Processing and Communications Applications Conference, SIU 2020 ; Conference date: 05-10-2020 Through 07-10-2020",

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Kaplan, B, Kahraman, I, Ekti, AR, Yarkan, S & Cirpan, HA 2020, Frekans Atlamali Sinyaller icin Olcum Tabanli Gelis Acisi Kestirimi. in 2020 28th Signal Processing and Communications Applications Conference, SIU 2020 - Proceedings., 9302256, 2020 28th Signal Processing and Communications Applications Conference, SIU 2020 - Proceedings, Institute of Electrical and Electronics Engineers Inc., 28th Signal Processing and Communications Applications Conference, SIU 2020, Gaziantep, Turkey, 5/10/20. https://doi.org/10.1109/SIU49456.2020.9302256

Frekans Atlamali Sinyaller icin Olcum Tabanli Gelis Acisi Kestirimi. / Kaplan, Batuhan; Kahraman, Ibrahim; Ekti, Ali Riza et al.
2020 28th Signal Processing and Communications Applications Conference, SIU 2020 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2020. 9302256 (2020 28th Signal Processing and Communications Applications Conference, SIU 2020 - Proceedings).

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

TY - GEN

T1 - Frekans Atlamali Sinyaller icin Olcum Tabanli Gelis Acisi Kestirimi

AU - Kaplan, Batuhan

AU - Kahraman, Ibrahim

AU - Ekti, Ali Riza

AU - Yarkan, Serhan

AU - Cirpan, Hakan Ali

PY - 2020/10/5

Y1 - 2020/10/5

N2 - In this paper, the problem of measurement-based angle of arrival estimation for frequency hopping signals is discussed. While the angle of arrival estimation is important information for many subjects, obtaining the angle of arrival estimation for frequency hopping signals is needed a different approach. A method based on resampling and noise reduction is proposed upon the reconstruction of the wideband received frequency hopping signal under the real-world conditions by using time-frequency analysis. Then, multiple signal classification (MUSIC) algorithm is used to obtain measurement based angle of arrival estimation of frequency hopping signals. The effectiveness of the proposed method is shown by the results of testing for two different location points.

AB - In this paper, the problem of measurement-based angle of arrival estimation for frequency hopping signals is discussed. While the angle of arrival estimation is important information for many subjects, obtaining the angle of arrival estimation for frequency hopping signals is needed a different approach. A method based on resampling and noise reduction is proposed upon the reconstruction of the wideband received frequency hopping signal under the real-world conditions by using time-frequency analysis. Then, multiple signal classification (MUSIC) algorithm is used to obtain measurement based angle of arrival estimation of frequency hopping signals. The effectiveness of the proposed method is shown by the results of testing for two different location points.

KW - MUSIC

KW - angle of arrival

KW - frequency hopping signals

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DO - 10.1109/SIU49456.2020.9302256

M3 - Konferans katkısı

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T3 - 2020 28th Signal Processing and Communications Applications Conference, SIU 2020 - Proceedings

BT - 2020 28th Signal Processing and Communications Applications Conference, SIU 2020 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 28th Signal Processing and Communications Applications Conference, SIU 2020

Y2 - 5 October 2020 through 7 October 2020

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Kaplan B, Kahraman I, Ekti AR, Yarkan S, Cirpan HA. Frekans Atlamali Sinyaller icin Olcum Tabanli Gelis Acisi Kestirimi. In 2020 28th Signal Processing and Communications Applications Conference, SIU 2020 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2020. 9302256. (2020 28th Signal Processing and Communications Applications Conference, SIU 2020 - Proceedings). doi: 10.1109/SIU49456.2020.9302256

Frekans Atlamali Sinyaller icin Olcum Tabanli Gelis Acisi Kestirimi

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