IEEE Transactions on Antennas and Propagation · 2012 · 23 citations · 1 references
Natural SciencesAerospace EngineeringElectrical EngineeringAntennasCryosphere StudiesRemote SensingRadar AntennasRadar Clutter SuppressionRadar InstrumentationRadar Signal ProcessingRadar SystemsRemote Sensing Of IceAirborne Radar DataAntenna Array ProcessingAntenna Pattern MeasurementIce Surface EffectsIce-bed CouplingSynthetic Aperture RadarSynthetic Aperture Radar ImagingSynthetic Aperture Radar Instrumentation
Antenna arrays with low sidelobes in the cross-track direction are needed for sounding and imaging ice-sheets margins including outlet glaciers. Weak radar signals from the ice-bed interface are often masked by off-vertical surface clutter from extremely rough crevassed surfaces in ice-sheet margins. Synthetic aperture radar (SAR) processing can be used to synthesize a large array for reducing clutter in the along-track direction. Low-sidelobe transmit- and receive-antenna patterns must be generated from a limited size array in the cross-track direction. Airborne antenna pattern measurements are critical to verifying pattern characteristics in the presence of a non-ideal ground plane and neighboring aircraft structures, as well as in-flight operational dynamics. In this paper, we describe a set of airborne measurements performed to determine and optimize antenna patterns for the very high frequency (VHF) array used to sound and image polar ice sheets. We measured antenna patterns by flying over a relatively smooth ice surface at an altitude of about 2700 m. The pattern data were obtained by processing the surface echoes with aircraft rolled from left to right over more than five cycles. We also simulated antenna patterns using a three-dimensional computer model of the entire airborne platform and compared with experimental results. The discrepancies between the measured and simulated results are less than 2.7 dB for 85% of the data samples. The measured pattern data will be used to optimize our array processing algorithms.
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Jilu Li, John Paden, Carl Leuschen et al. · IEEE Transactions on Geoscience and Remote Sensing · 2012 · 82 citations