Radio Frequency Interference Detection and Mitigation Algorithms Based on Spectrogram Analysis
Radio Frequency Interference (RFI) detection and mitigation algorithms based on a signal’s spectrogram (frequency and time domain representation) are presented. The radiometric signal’s spectrogram is treated as an image, and therefore image processing techniques are applied to detect and mitigate R...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2011-10-01
|
| Series: | Algorithms |
| Subjects: | |
| Online Access: | http://www.mdpi.com/1999-4893/4/4/239/ |
| _version_ | 1817992429958070272 |
|---|---|
| author | Jose Miguel Tarongi Adriano Camps |
| author_facet | Jose Miguel Tarongi Adriano Camps |
| author_sort | Jose Miguel Tarongi |
| collection | DOAJ |
| description | Radio Frequency Interference (RFI) detection and mitigation algorithms based on a signal’s spectrogram (frequency and time domain representation) are presented. The radiometric signal’s spectrogram is treated as an image, and therefore image processing techniques are applied to detect and mitigate RFI by two-dimensional filtering. A series of Monte-Carlo simulations have been performed to evaluate the performance of a simple thresholding algorithm and a modified two-dimensional Wiener filter. |
| first_indexed | 2024-04-14T01:26:12Z |
| format | Article |
| id | doaj.art-56e3a0dc2e71411caaa63dd924c190e4 |
| institution | Directory Open Access Journal |
| issn | 1999-4893 |
| language | English |
| last_indexed | 2024-04-14T01:26:12Z |
| publishDate | 2011-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Algorithms |
| spelling | doaj.art-56e3a0dc2e71411caaa63dd924c190e42022-12-22T02:20:25ZengMDPI AGAlgorithms1999-48932011-10-014423926110.3390/a4040239Radio Frequency Interference Detection and Mitigation Algorithms Based on Spectrogram AnalysisJose Miguel TarongiAdriano CampsRadio Frequency Interference (RFI) detection and mitigation algorithms based on a signal’s spectrogram (frequency and time domain representation) are presented. The radiometric signal’s spectrogram is treated as an image, and therefore image processing techniques are applied to detect and mitigate RFI by two-dimensional filtering. A series of Monte-Carlo simulations have been performed to evaluate the performance of a simple thresholding algorithm and a modified two-dimensional Wiener filter.http://www.mdpi.com/1999-4893/4/4/239/radiometryspectrogramRFIdetectionmitigation |
| spellingShingle | Jose Miguel Tarongi Adriano Camps Radio Frequency Interference Detection and Mitigation Algorithms Based on Spectrogram Analysis Algorithms radiometry spectrogram RFI detection mitigation |
| title | Radio Frequency Interference Detection and Mitigation Algorithms Based on Spectrogram Analysis |
| title_full | Radio Frequency Interference Detection and Mitigation Algorithms Based on Spectrogram Analysis |
| title_fullStr | Radio Frequency Interference Detection and Mitigation Algorithms Based on Spectrogram Analysis |
| title_full_unstemmed | Radio Frequency Interference Detection and Mitigation Algorithms Based on Spectrogram Analysis |
| title_short | Radio Frequency Interference Detection and Mitigation Algorithms Based on Spectrogram Analysis |
| title_sort | radio frequency interference detection and mitigation algorithms based on spectrogram analysis |
| topic | radiometry spectrogram RFI detection mitigation |
| url | http://www.mdpi.com/1999-4893/4/4/239/ |
| work_keys_str_mv | AT josemigueltarongi radiofrequencyinterferencedetectionandmitigationalgorithmsbasedonspectrogramanalysis AT adrianocamps radiofrequencyinterferencedetectionandmitigationalgorithmsbasedonspectrogramanalysis |