Noise Cancellation with Adaptive Filters on the Public Radio Spectrum

Çaglar Özçetin; Sedef Kent

doi:10.1109/ICEEE59925.2023.00056

Noise Cancellation with Adaptive Filters on the Public Radio Spectrum

Çaglar Özçetin
, Sedef Kent

Elektronik ve Hab.Müh.Bölümü

Istanbul Technical University

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

Özet

The Public Radio Spectrum was created to exchange critical communications between emergency responders, public corporations, and law enforcement. Uninterrupted and noiseless communication between officers is of vital importance in chaotic moments such as earthquakes, sabotage, etc. Various methods are available for noise cancellation. Adaptive filters are widely used for this purpose. In this paper, the elimination of noise in the APCO (The Association of Public-Safety Communications Officers) signal, which is one of the public radio communication standards, with LMS, NLMS, RLS, QRD RLS, IQRD-RLS adaptive filters is examined and the performance of the filters in noise cancellation is analyzed. To obtain the experimental results, GNU Radio was used, and the radio signal was obtained with HackRF One SDR.

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	Proceedings - 2023 10th International Conference on Electrical and Electronics Engineering, ICEEE 2023
Yayınlayan	Institute of Electrical and Electronics Engineers Inc.
Sayfalar	273-278
Sayfa sayısı	6
ISBN (Elektronik)	9798350304299
DOI'lar	https://doi.org/10.1109/ICEEE59925.2023.00056
Yayın durumu	Yayınlandı - 2023
Etkinlik	10th International Conference on Electrical and Electronics Engineering, ICEEE 2023 - Istanbul, Turkey Süre: 8 May 2023 → 10 May 2023

Yayın serisi

Adı	Proceedings - 2023 10th International Conference on Electrical and Electronics Engineering, ICEEE 2023

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

???event.eventtypes.event.conference???	10th International Conference on Electrical and Electronics Engineering, ICEEE 2023
Ülke/Bölge	Turkey
Şehir	Istanbul
Periyot	8/05/23 → 10/05/23

Bibliyografik not

Publisher Copyright:
© 2023 IEEE.

Belgeye Erişim

10.1109/ICEEE59925.2023.00056

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

Özçetin, Ç., & Kent, S. (2023). Noise Cancellation with Adaptive Filters on the Public Radio Spectrum. In Proceedings - 2023 10th International Conference on Electrical and Electronics Engineering, ICEEE 2023 (pp. 273-278). (Proceedings - 2023 10th International Conference on Electrical and Electronics Engineering, ICEEE 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICEEE59925.2023.00056

Özçetin, Çaglar ; Kent, Sedef. / Noise Cancellation with Adaptive Filters on the Public Radio Spectrum. Proceedings - 2023 10th International Conference on Electrical and Electronics Engineering, ICEEE 2023. Institute of Electrical and Electronics Engineers Inc., 2023. pp. 273-278 (Proceedings - 2023 10th International Conference on Electrical and Electronics Engineering, ICEEE 2023).

@inproceedings{0c4ae891761d418e9b86bf636c41c1fa,

title = "Noise Cancellation with Adaptive Filters on the Public Radio Spectrum",

abstract = "The Public Radio Spectrum was created to exchange critical communications between emergency responders, public corporations, and law enforcement. Uninterrupted and noiseless communication between officers is of vital importance in chaotic moments such as earthquakes, sabotage, etc. Various methods are available for noise cancellation. Adaptive filters are widely used for this purpose. In this paper, the elimination of noise in the APCO (The Association of Public-Safety Communications Officers) signal, which is one of the public radio communication standards, with LMS, NLMS, RLS, QRD RLS, IQRD-RLS adaptive filters is examined and the performance of the filters in noise cancellation is analyzed. To obtain the experimental results, GNU Radio was used, and the radio signal was obtained with HackRF One SDR.",

keywords = "Adaptive Filter, APCO, GNU Radio, Inverse QR Decomposition RLS (IQRD-RLS), Least Mean Squares (LMS), Normalized Least Mean Squares (NLMS), QR Decomposition RLS (QRD-RLS), Radio, Recursive Least Squares (RLS)",

author = "{\c C}aglar {\"O}z{\c c}etin and Sedef Kent",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 10th International Conference on Electrical and Electronics Engineering, ICEEE 2023 ; Conference date: 08-05-2023 Through 10-05-2023",

year = "2023",

doi = "10.1109/ICEEE59925.2023.00056",

language = "English",

series = "Proceedings - 2023 10th International Conference on Electrical and Electronics Engineering, ICEEE 2023",

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

pages = "273--278",

booktitle = "Proceedings - 2023 10th International Conference on Electrical and Electronics Engineering, ICEEE 2023",

address = "United States",

}

Özçetin, Ç & Kent, S 2023, Noise Cancellation with Adaptive Filters on the Public Radio Spectrum. in Proceedings - 2023 10th International Conference on Electrical and Electronics Engineering, ICEEE 2023. Proceedings - 2023 10th International Conference on Electrical and Electronics Engineering, ICEEE 2023, Institute of Electrical and Electronics Engineers Inc., pp. 273-278, 10th International Conference on Electrical and Electronics Engineering, ICEEE 2023, Istanbul, Turkey, 8/05/23. https://doi.org/10.1109/ICEEE59925.2023.00056

Noise Cancellation with Adaptive Filters on the Public Radio Spectrum. / Özçetin, Çaglar; Kent, Sedef.
Proceedings - 2023 10th International Conference on Electrical and Electronics Engineering, ICEEE 2023. Institute of Electrical and Electronics Engineers Inc., 2023. p. 273-278 (Proceedings - 2023 10th International Conference on Electrical and Electronics Engineering, ICEEE 2023).

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

TY - GEN

T1 - Noise Cancellation with Adaptive Filters on the Public Radio Spectrum

AU - Özçetin, Çaglar

AU - Kent, Sedef

PY - 2023

Y1 - 2023

N2 - The Public Radio Spectrum was created to exchange critical communications between emergency responders, public corporations, and law enforcement. Uninterrupted and noiseless communication between officers is of vital importance in chaotic moments such as earthquakes, sabotage, etc. Various methods are available for noise cancellation. Adaptive filters are widely used for this purpose. In this paper, the elimination of noise in the APCO (The Association of Public-Safety Communications Officers) signal, which is one of the public radio communication standards, with LMS, NLMS, RLS, QRD RLS, IQRD-RLS adaptive filters is examined and the performance of the filters in noise cancellation is analyzed. To obtain the experimental results, GNU Radio was used, and the radio signal was obtained with HackRF One SDR.

AB - The Public Radio Spectrum was created to exchange critical communications between emergency responders, public corporations, and law enforcement. Uninterrupted and noiseless communication between officers is of vital importance in chaotic moments such as earthquakes, sabotage, etc. Various methods are available for noise cancellation. Adaptive filters are widely used for this purpose. In this paper, the elimination of noise in the APCO (The Association of Public-Safety Communications Officers) signal, which is one of the public radio communication standards, with LMS, NLMS, RLS, QRD RLS, IQRD-RLS adaptive filters is examined and the performance of the filters in noise cancellation is analyzed. To obtain the experimental results, GNU Radio was used, and the radio signal was obtained with HackRF One SDR.

KW - Adaptive Filter

KW - APCO

KW - GNU Radio

KW - Inverse QR Decomposition RLS (IQRD-RLS)

KW - Least Mean Squares (LMS)

KW - Normalized Least Mean Squares (NLMS)

KW - QR Decomposition RLS (QRD-RLS)

KW - Radio

KW - Recursive Least Squares (RLS)

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DO - 10.1109/ICEEE59925.2023.00056

M3 - Conference contribution

AN - SCOPUS:85179004202

T3 - Proceedings - 2023 10th International Conference on Electrical and Electronics Engineering, ICEEE 2023

SP - 273

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BT - Proceedings - 2023 10th International Conference on Electrical and Electronics Engineering, ICEEE 2023

PB - Institute of Electrical and Electronics Engineers Inc.

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ER -

Özçetin Ç, Kent S. Noise Cancellation with Adaptive Filters on the Public Radio Spectrum. In Proceedings - 2023 10th International Conference on Electrical and Electronics Engineering, ICEEE 2023. Institute of Electrical and Electronics Engineers Inc. 2023. p. 273-278. (Proceedings - 2023 10th International Conference on Electrical and Electronics Engineering, ICEEE 2023). doi: 10.1109/ICEEE59925.2023.00056

Noise Cancellation with Adaptive Filters on the Public Radio Spectrum

Özet

Yayın serisi

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Bibliyografik not

Belgeye Erişim

Diğer Dosyalar ve Linkler

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