Radio-Frequency Interference Mitigation for the Soil Moisture Active Passive Microwave Radiometer

The Soil Moisture Active Passive (SMAP) radiometer operates in the L-band protected spectrum (1400-1427 MHz) that is known to be vulnerable to radio-frequency interference (RFI). Although transmissions are forbidden at these frequencies by international regulations, ground-based, airborne, and spaceborne radiometric observations show substantial evidence of out-of-band emissions from neighboring transmitters and possibly illegally operating emitters. The spectral environment that SMAP faces includes not only occasional large levels of RFI but also significant amounts of low-level RFI equivalent to a brightness temperature of 0.1-10 K at the radiometer output. This low-level interference would be enough to jeopardize the success of a mission without an aggressive mitigation solution, including special flight hardware and ground software with capabilities of RFI detection and removal. SMAP takes a multidomain approach to RFI mitigation by utilizing an innovative onboard digital detector back end with digital signal processing algorithms to characterize the time, frequency, polarization, and statistical properties of the received signals. Almost 1000 times more measurements than what is conventionally necessary are collected to enable the ground processing algorithm to detect and remove harmful interference. Multiple RFI detectors are run on the ground, and their outputs are combined for maximum likelihood of detection to remove the RFI within a footprint. The capabilities of the hardware and software systems are successfully demonstrated using test data collected with a SMAP radiometer engineering test unit.

[1]  Sidharth Misra,et al.  Detection of Radio Frequency Interference with the Aquarius Radiometer , 2007, 2007 IEEE International Geoscience and Remote Sensing Symposium.

[2]  Jiancheng Shi,et al.  The Soil Moisture Active Passive (SMAP) Mission , 2010, Proceedings of the IEEE.

[3]  A. Berkun,et al.  FPGAs make a radar signal processor on a chip a reality , 1999, Conference Record of the Thirty-Third Asilomar Conference on Signals, Systems, and Computers (Cat. No.CH37020).

[4]  Sidharth Misra,et al.  Analysis of Radio Frequency Interference Detection Algorithms in the Angular Domain for SMOS , 2012, IEEE Transactions on Geoscience and Remote Sensing.

[5]  Li Li,et al.  Global survey and statistics of radio-frequency interference in AMSR-E land observations , 2005, IEEE Transactions on Geoscience and Remote Sensing.

[6]  Simon Yueh,et al.  Estimates of Faraday rotation with passive microwave polarimetry for microwave remote sensing of Earth surfaces , 2000, IEEE Trans. Geosci. Remote. Sens..

[7]  R. Fisher The Advanced Theory of Statistics , 1943, Nature.

[8]  Joel T. Johnson,et al.  Performance Study of a Cross-Frequency Detection Algorithm for Pulsed Sinusoidal RFI in Microwave Radiometry , 2010, IEEE Transactions on Geoscience and Remote Sensing.

[9]  C David Crandall,et al.  Survey of Potential Radio Frequency Interference Sources. , 1980 .

[10]  Yann Kerr,et al.  ESA's Soil Moisture and Ocean Salinity Mission: Mission Performance and Operations , 2012, IEEE Transactions on Geoscience and Remote Sensing.

[11]  Janne Lahtinen,et al.  On-board digital RFI and polarimetry processor for future spaceborne radiometer systems , 2012, 2012 IEEE International Geoscience and Remote Sensing Symposium.

[12]  Simon Yueh,et al.  The Aquarius/SAC-D mission: Designed to meet the salinity remote-sensing challenge , 2008 .

[13]  Joel T. Johnson,et al.  Performance Study of Algorithms for Detecting Pulsed Sinusoidal Interference in Microwave Radiometry , 2009, IEEE Transactions on Geoscience and Remote Sensing.

[14]  Richard G. Lyons,et al.  Understanding Digital Signal Processing , 1996 .

[15]  Mehrez Zribi,et al.  Analysis of RFI Identification and Mitigation in CAROLS Radiometer Data Using a Hardware Spectrum Analyser , 2010, 2010 11th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment.

[16]  Roger D. De Roo,et al.  Sensitivity of the Kurtosis Statistic as a Detector of Pulsed Sinusoidal RFI , 2007, IEEE Transactions on Geoscience and Remote Sensing.

[17]  Li Li,et al.  WindSat radio-frequency interference signature and its identification over land and ocean , 2006, IEEE Transactions on Geoscience and Remote Sensing.

[18]  Yann Kerr,et al.  The SMOS Mission: New Tool for Monitoring Key Elements ofthe Global Water Cycle , 2010, Proceedings of the IEEE.

[19]  Richard G. Lyons,et al.  Understanding Digital Signal Processing (2nd Edition) , 2004 .

[20]  Eric Anterrieu,et al.  On the Detection and Quantification of RFI in L1a Signals Provided by SMOS , 2011, IEEE Transactions on Geoscience and Remote Sensing.

[21]  Jeffrey Piepmeier Radio frequency interference (RFI) in digital microwave radiometers , 2004, IGARSS 2004. 2004 IEEE International Geoscience and Remote Sensing Symposium.

[22]  Joel T. Johnson,et al.  Time and Frequency Blanking for Radio-Frequency Interference Mitigation in Microwave Radiometry , 2007, IEEE Transactions on Geoscience and Remote Sensing.

[23]  S. Tantaratana Polyphase Structure with Periodically Time-Varying Coefficients: a Realization for Minimizing Hardware Subject to Computational Speed Constraint , 2006, 2006 Asia-Pacific Conference on Communications.

[24]  Joel T. Johnson,et al.  Examination of a simple pulse‐blanking technique for radio frequency interference mitigation , 2005 .

[25]  Joel T. Johnson,et al.  Examination of a simple pulse blanking technique for RFI mitigation , 2004 .

[26]  Philippe Richaume,et al.  SMOS Radio Frequency Interference Scenario: Status and Actions Taken to Improve the RFI Environment in the 1400–1427-MHz Passive Band , 2012, IEEE Transactions on Geoscience and Remote Sensing.

[27]  Adriano Camps,et al.  RF interference analysis in aperture synthesis interferometric radiometers: application to L-band MIRAS instrument , 2000, IEEE Trans. Geosci. Remote. Sens..

[28]  Joel T. Johnson,et al.  A Comparative Analysis of Low-Level Radio Frequency Interference in SMOS and Aquarius Microwave Radiometer Measurements , 2013, IEEE Transactions on Geoscience and Remote Sensing.

[29]  Jeffrey Piepmeier,et al.  Mitigation of Terrestrial Radar Interference in L-Band Spaceborne Microwave Radiometers , 2006, 2006 IEEE International Symposium on Geoscience and Remote Sensing.

[30]  Niels Skou,et al.  RFI in SMOS data detected by polarimetry , 2012, 2012 IEEE International Geoscience and Remote Sensing Symposium.

[31]  Li Li,et al.  A preliminary survey of radio-frequency interference over the U.S. in Aqua AMSR-E data , 2004, IEEE Transactions on Geoscience and Remote Sensing.

[32]  J. R. Piepmeier,et al.  Radio Frequency Interference and the SMAP Radiometer : Risk Assessment and Reduction , 2010 .

[33]  S. Biyiksiz,et al.  Multirate digital signal processing , 1985, Proceedings of the IEEE.

[34]  Edward J. Kim,et al.  Radio frequency interference mitigation for the planned SMAP radar and radiometer , 2011, 2011 IEEE International Geoscience and Remote Sensing Symposium.

[35]  David G. Long,et al.  WindSat Passive Microwave Polarimetric Signatures of the Greenland Ice Sheet , 2008, IEEE Transactions on Geoscience and Remote Sensing.

[36]  Joel T. Johnson,et al.  Assessment of the impacts of radio frequency interference on SMAP radar and radiometer measurements , 2012, 2012 IEEE International Geoscience and Remote Sensing Symposium.

[37]  Sidharth Misra,et al.  RFI detection and mitigation for microwave radiometry with an agile digital detector , 2006, IEEE Transactions on Geoscience and Remote Sensing.

[38]  Jeffrey Piepmeier,et al.  A Double Detector for RFI Mitigation in Microwave Radiometers , 2008, IEEE Transactions on Geoscience and Remote Sensing.

[39]  Christopher Ruf,et al.  Aquarius radiometer RFI detection, mitigation and impact assessment , 2012, 2012 IEEE International Geoscience and Remote Sensing Symposium.

[40]  Yann Kerr,et al.  Introduction to the Special Issue on the ESA's Soil Moisture and Ocean Salinity Mission (SMOS) - Instrument Performance and First Results , 2012, IEEE Trans. Geosci. Remote. Sens..

[41]  Rita Castro,et al.  Radio-Frequency Interference Detection and Mitigation Algorithms for Synthetic Aperture Radiometers , 2011, Algorithms.

[42]  Sidharth Misra,et al.  L-Band RFI as Experienced During Airborne Campaigns in Preparation for SMOS , 2010, IEEE Transactions on Geoscience and Remote Sensing.

[43]  Rita Castro,et al.  A First Set of Techniques to Detect Radio Frequency Interferences and Mitigate Their Impact on SMOS Data , 2012, IEEE Transactions on Geoscience and Remote Sensing.

[44]  Michael W. Spencer,et al.  The HYDROS radiometer/radar instrument , 2004, IGARSS 2004. 2004 IEEE International Geoscience and Remote Sensing Symposium.

[45]  Sidharth Misra,et al.  Airborne L-Band Radio Frequency Interference Observations From the SMAPVEX08 Campaign and Associated Flights , 2011, IEEE Transactions on Geoscience and Remote Sensing.