Impact of Signal Quantization on the Performance of RFI Mitigation Algorithms
Radio Frequency Interference (RFI) is currently a major problem in Communications and Earth Observation, but it is even more dramatic in Microwave Radiometry because of the low power levels of the received signals. Its impact has been attested in several Earth Observation missions. On-board mitigati...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2019-08-01
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| Series: | Remote Sensing |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2072-4292/11/17/2023 |
| _version_ | 1819294866886098944 |
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| author | Raúl Díez-García Adriano Camps |
| author_facet | Raúl Díez-García Adriano Camps |
| author_sort | Raúl Díez-García |
| collection | DOAJ |
| description | Radio Frequency Interference (RFI) is currently a major problem in Communications and Earth Observation, but it is even more dramatic in Microwave Radiometry because of the low power levels of the received signals. Its impact has been attested in several Earth Observation missions. On-board mitigation systems are becoming a requirement to detect and remove affected measurements, increasing thus radiometric accuracy and spatial coverage. However, RFI mitigation methods have not been tested yet in the context of some particular radiometer topologies, which rely on the use of coarsely quantized streams of data. In this study, the impact of quantization and sampling in the performance of several known RFI mitigation algorithms is studied under different conditions. It will be demonstrated that in the presence of clipping, quantization changes fundamentally the time-frequency properties of the contaminated signal, strongly impairing the performance of most mitigation methods. Important design considerations are derived from this analysis that must be taken into account when defining the architecture of future instruments. In particular, the use of Automatic Gain Control (AGC) systems is proposed, and its limitations are discussed. |
| first_indexed | 2024-12-24T04:33:08Z |
| format | Article |
| id | doaj.art-1b7aea27311140e5b41f29a9f36e1d00 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-12-24T04:33:08Z |
| publishDate | 2019-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-1b7aea27311140e5b41f29a9f36e1d002022-12-21T17:15:19ZengMDPI AGRemote Sensing2072-42922019-08-011117202310.3390/rs11172023rs11172023Impact of Signal Quantization on the Performance of RFI Mitigation AlgorithmsRaúl Díez-García0Adriano Camps1CommSensLab–‘María de Maeztu’ unit, Campus Nord, Edifici D4, Universitat Politècnica de Catalunya—BarcelonaTech and CTE/UPC, 08034 Barcelona, SpainCommSensLab–‘María de Maeztu’ unit, Campus Nord, Edifici D4, Universitat Politècnica de Catalunya—BarcelonaTech and CTE/UPC, 08034 Barcelona, SpainRadio Frequency Interference (RFI) is currently a major problem in Communications and Earth Observation, but it is even more dramatic in Microwave Radiometry because of the low power levels of the received signals. Its impact has been attested in several Earth Observation missions. On-board mitigation systems are becoming a requirement to detect and remove affected measurements, increasing thus radiometric accuracy and spatial coverage. However, RFI mitigation methods have not been tested yet in the context of some particular radiometer topologies, which rely on the use of coarsely quantized streams of data. In this study, the impact of quantization and sampling in the performance of several known RFI mitigation algorithms is studied under different conditions. It will be demonstrated that in the presence of clipping, quantization changes fundamentally the time-frequency properties of the contaminated signal, strongly impairing the performance of most mitigation methods. Important design considerations are derived from this analysis that must be taken into account when defining the architecture of future instruments. In particular, the use of Automatic Gain Control (AGC) systems is proposed, and its limitations are discussed.https://www.mdpi.com/2072-4292/11/17/2023RFIinterferenceradiometryinterferometry |
| spellingShingle | Raúl Díez-García Adriano Camps Impact of Signal Quantization on the Performance of RFI Mitigation Algorithms Remote Sensing RFI interference radiometry interferometry |
| title | Impact of Signal Quantization on the Performance of RFI Mitigation Algorithms |
| title_full | Impact of Signal Quantization on the Performance of RFI Mitigation Algorithms |
| title_fullStr | Impact of Signal Quantization on the Performance of RFI Mitigation Algorithms |
| title_full_unstemmed | Impact of Signal Quantization on the Performance of RFI Mitigation Algorithms |
| title_short | Impact of Signal Quantization on the Performance of RFI Mitigation Algorithms |
| title_sort | impact of signal quantization on the performance of rfi mitigation algorithms |
| topic | RFI interference radiometry interferometry |
| url | https://www.mdpi.com/2072-4292/11/17/2023 |
| work_keys_str_mv | AT rauldiezgarcia impactofsignalquantizationontheperformanceofrfimitigationalgorithms AT adrianocamps impactofsignalquantizationontheperformanceofrfimitigationalgorithms |