RFI detection and mitigation for microwave radiometry with an agile digital detector
A new type of microwave radiometer detector has been developed that is capable of identifying high and low levels of radio-frequency interference (RFI) and of reducing or eliminating its effect on the measured brightness temperatures. High-level, localized RFI can be easily identified by its unnatur...
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| Veröffentlicht in: | IEEE transactions on geoscience and remote sensing 2006-03, Vol.44 (3), p.694-706 |
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| container_title | IEEE transactions on geoscience and remote sensing |
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| creator | Ruf, C.S. Gross, S.M. Misra, S. |
| description | A new type of microwave radiometer detector has been developed that is capable of identifying high and low levels of radio-frequency interference (RFI) and of reducing or eliminating its effect on the measured brightness temperatures. High-level, localized RFI can be easily identified by its unnatural appearance in brightness temperature imagery. Low-level or persistent RFI can be much more difficult to identify and filter out. The agile digital detector (ADD) can discriminate between RFI and natural thermal emission signals by directly measuring higher order moments of the signal than the variance that is traditionally measured. After detection, the ADD then uses spectral filtering methods to selectively remove the RFI. ADD performance is experimentally verified in controlled laboratory tests and in the field near a commercial air traffic control radar. High-level RFI is easily identified and removed. Very low level RFI contamination, with power levels as low as the radiometric measurement uncertainty of the radiometer, is also shown to be reliably detected and removed. |
| doi_str_mv | 10.1109/TGRS.2005.861411 |
| format | Article |
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High-level, localized RFI can be easily identified by its unnatural appearance in brightness temperature imagery. Low-level or persistent RFI can be much more difficult to identify and filter out. The agile digital detector (ADD) can discriminate between RFI and natural thermal emission signals by directly measuring higher order moments of the signal than the variance that is traditionally measured. After detection, the ADD then uses spectral filtering methods to selectively remove the RFI. ADD performance is experimentally verified in controlled laboratory tests and in the field near a commercial air traffic control radar. High-level RFI is easily identified and removed. 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High-level, localized RFI can be easily identified by its unnatural appearance in brightness temperature imagery. Low-level or persistent RFI can be much more difficult to identify and filter out. The agile digital detector (ADD) can discriminate between RFI and natural thermal emission signals by directly measuring higher order moments of the signal than the variance that is traditionally measured. After detection, the ADD then uses spectral filtering methods to selectively remove the RFI. ADD performance is experimentally verified in controlled laboratory tests and in the field near a commercial air traffic control radar. High-level RFI is easily identified and removed. Very low level RFI contamination, with power levels as low as the radiometric measurement uncertainty of the radiometer, is also shown to be reliably detected and removed.</description><subject>Air traffic control</subject><subject>Applied geophysics</subject><subject>Brightness temperature</subject><subject>Detectors</subject><subject>Digital</subject><subject>Earth sciences</subject><subject>Earth, ocean, space</subject><subject>Exact sciences and technology</subject><subject>Filtering</subject><subject>Filtration</subject><subject>Interference elimination</subject><subject>Internal geophysics</subject><subject>Low level</subject><subject>Microwave measurements</subject><subject>Microwave radiometry</subject><subject>Pollution measurement</subject><subject>Radar detection</subject><subject>Radio frequency</subject><subject>radio spectrum management</subject><subject>Radiofrequency identification</subject><subject>Radiofrequency interference</subject><subject>Radiometers</subject><subject>Variance</subject><issn>0196-2892</issn><issn>1558-0644</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2006</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNqFkc1r20AQxZeSQp2090IvItC0Fzkz-73HYJrEECgk7nlZSytnjSy5u3JC_vusYkOgB_c0DPN7j-E9Qr4iTBHBXC5u7h-mFEBMtUSO-IFMUAhdguT8hEwAjSypNvQTOU1pDYBcoJqQxf31vKj94Ksh9F3hurrYhCGs3Nva9DGvVeyf3ZMvoqtDv_FDfCmew_CY4cKtQuuLOqzC4NqDTx8_k4-Na5P_cphn5M_1r8Xstrz7fTOfXd2VFedqKGusxxe5qLlpWNVoLyRdLjl4MKxREhST6KQCxylHU7FG8qVHncVIhVmyM_Jj77uN_d-dT4PdhFT5tnWd73fJag1ScSN1Ji-OktTkgJhR_wc1cMMoy-DPoyAqBUxoKWlGz_9B1_0udjkZq6VQAFKOfrCHctopRd_YbQwbF18sgh0btmPDdmzY7hvOku8HX5cq1zbRdVVI7zolhAFlMvdtzwXv_ftZGMUVZ68gLaw8</recordid><startdate>20060301</startdate><enddate>20060301</enddate><creator>Ruf, C.S.</creator><creator>Gross, S.M.</creator><creator>Misra, S.</creator><general>IEEE</general><general>Institute of Electrical and Electronics Engineers</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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| ispartof | IEEE transactions on geoscience and remote sensing, 2006-03, Vol.44 (3), p.694-706 |
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| source | IEEE Electronic Library (IEL) |
| subjects | Air traffic control Applied geophysics Brightness temperature Detectors Digital Earth sciences Earth, ocean, space Exact sciences and technology Filtering Filtration Interference elimination Internal geophysics Low level Microwave measurements Microwave radiometry Pollution measurement Radar detection Radio frequency radio spectrum management Radiofrequency identification Radiofrequency interference Radiometers Variance |
| title | RFI detection and mitigation for microwave radiometry with an agile digital detector |
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