Lopez-Benitez, Miguel 
ORCID: 0000-0003-0526-6687
(2022)
Iterative Pyramidal Filtering Method for Improved Signal Recognition in Radio Spectrograms.
IEEE WIRELESS COMMUNICATIONS LETTERS, 11 (6).
pp. 1146-1150.
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Abstract
Spectrograms are an essential time-frequency representation tool that has been used to address several important problems in wireless communication systems. However, most existing techniques based on the processing of radio spectrograms require a relatively high Signal-to-Noise Ratio (SNR), performing poorly at low/moderate SNR. In this context, this letter proposes an iterative radio spectrogram filtering method based on a novel pyramidal convolution kernel. The obtained results demonstrate that the proposed technique improves the recognisability of signal components in radio spectrograms. Two illustrative examples are provided to show how this method helps to extend noticeably the SNR operational range of techniques for wireless communications based on the processing of radio spectrograms.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Spectrogram, Signal to noise ratio, Time-frequency analysis, Receivers, Wireless communication, Iterative methods, Frequency measurement, Time-frequency signal representations, radio spectrogram, spectrum analysis, spectrum awareness |
| Divisions: | Faculty of Science and Engineering > School of Electrical Engineering, Electronics and Computer Science |
| Depositing User: | Symplectic Admin |
| Date Deposited: | 11 Mar 2022 10:26 |
| Last Modified: | 15 Mar 2024 06:08 |
| DOI: | 10.1109/LWC.2022.3159342 |
| Related URLs: | |
| URI: | https://livrepository.liverpool.ac.uk/id/eprint/3150585 |
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