Noise Cancellation with Adaptive Filters on the Public Radio Spectrum


Özçetin Ç., Kent Pınar S.

10th International Conference on Electrical and Electronics Engineering, ICEEE 2023, İstanbul, Turkey, 8 - 10 May 2023, pp.273-278 identifier

  • Publication Type: Conference Paper / Full Text
  • Doi Number: 10.1109/iceee59925.2023.00056
  • City: İstanbul
  • Country: Turkey
  • Page Numbers: pp.273-278
  • 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)
  • Istanbul Technical University Affiliated: Yes

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.