@article{fdi:010053430,
  title = {{A}nalysis of {RFI} identification and mitigation in {CAROLS} radiometer data using a hardware spectrum analyser},
  author = {{F}anise, {P}. and {P}ard{\'e}, {M}. and {Z}ribi, {M}ehrez and {D}echambre, {M}. and {C}audoux, {C}.},
  editor = {},
  language = {{ENG}},
  abstract = {{A} method to identify and mitigate radio frequency interference ({RFI}) in microwave radiometry based on the use of a spectrum analyzer has been developed. {T}his method has been tested with {CAROLS} {L}-band airborne radiometer data that are strongly corrupted by {RFI}. {RFI} is a major limiting factor in passive microwave remote sensing interpretation. {A}lthough the 1.400-1.427 {GH}z bandwidth is protected, {RFI} sources close to these frequencies are still capable of corrupting radiometric measurements. {I}n order to reduce the detrimental effects of {RFI} on brightness temperature measurements, a new spectrum analyzer has been added to the {CAROLS} radiometer system. {A} post processing algorithm is proposed, based on selective filters within the useful bandwidth divided into sub-bands. {T}wo discriminant analyses based on the computation of kurtosis and {E}uclidian distances have been compared evaluated and validated in order to accurately separate the {RF} interference from natural signals.},
  keywords = {{RFI} ; {CAROLS} ; {L}-band ; radiometry},
  booktitle = {},
  journal = {{S}ensors},
  volume = {11},
  numero = {3},
  pages = {3037--3050},
  ISSN = {1424-8220},
  year = {2011},
  DOI = {10.3390/s110303037},
  URL = {https://www.documentation.ird.fr/hor/fdi:010053430},
}