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.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - 2023 10th International Conference on Electrical and Electronics Engineering, ICEEE 2023 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 273-278 |
| Number of pages | 6 |
| ISBN (Electronic) | 9798350304299 |
| DOIs | |
| Publication status | Published - 2023 |
| Event | 10th International Conference on Electrical and Electronics Engineering, ICEEE 2023 - Istanbul, Turkey Duration: 8 May 2023 → 10 May 2023 |
Publication series
| Name | Proceedings - 2023 10th International Conference on Electrical and Electronics Engineering, ICEEE 2023 |
|---|
Conference
| Conference | 10th International Conference on Electrical and Electronics Engineering, ICEEE 2023 |
|---|---|
| Country/Territory | Turkey |
| City | Istanbul |
| Period | 8/05/23 → 10/05/23 |
Bibliographical note
Publisher Copyright:© 2023 IEEE.
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)