Measurements were performed by The Army Research Laboratory (ARL) to characterize the statistical and discrete radar
clutter at Ka-Band frequencies associated with urban environments for the purpose of investigating the associated
backscatter physics and to generate statistics of large extended targets. The measurement data will be used to develop
waveform and radar signal processing requirements for Ka-Band radar sensors in urban operational environments. The
peak Radar Cross Section (RCS) statistics for urban clutter data are presented as Probability Distribution Functions and
Cumulative Distribution Functions.
KEYWORDS: Radar, Doppler effect, Polarization, Ka band, Extremely high frequency, Sensors, Antennas, Defense and security, Environmental sensing, Analytical research
With the changing nature of international security it is of interest to the military to use remote sensors to detect and classify people as potential threats. We chose a millimeter wave (MMW) radar as our sensor to collect data on single and small groups of people that were either walking or running to determine how easily they could be detected. This work was done to support the concept of using Ka-band radar to detect people from an airborne platform. Fully-polarimetric Ka-Band radar data was collected of people walking and running at various orientations with respect to the radar. Micro-Doppler analysis reveals Doppler oscillations with time that are characteristic of people at all orientations measured.
A study was conducted for the use of a synthetic aperture interferometric radiometer for mine detection at near-field ranges using a two-element, 1.4-GHz laboratory prototype. Images are presented of an aluminum plate buried at different depths, generate using a backpropagation technique. The parameters required for mine detection are also discussed.
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