Generation of Land-Clutter Maps for Cognitive Radar Technology

Galati, Gaspare; Pavan, Gabriele

doi:10.1007/978-3-319-77712-2_141

Cited by 2 publications

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“…After calibration, realistic clutter maps can be generated [7][8][9][10]. They may be used, for example, to design the siting of X-band surveillance radars [11] for the surveillance of airports (surface movements radar and apron control) and for the detection of unauthorized unmanned aerial vehicles (UAVs also known as drones) in urban and suburban areas.…”

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confidence: 99%

Characterization of Back-Scattering and Multipath in a Suburban Area after the Calibration of an X-Band Commercial Radar

Galati

Pavan

Wasserzier

2020

Sensors

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The increasing interest in the radar detection of low-elevation and small-size targets in complicated ground environments (such as urban, suburban, and mixed country areas) calls for a precise quantification of the radar detection capabilities in those areas. Hence, a set of procedures is devised and tested, both theoretically and experimentally, using a commercial X-band radar, to (i) calibrate the radar sensor (with an online evaluation of its losses) using standard scatterers, (ii) measure the multipath effect and compensate for it, and (iii) create “true radar cross section” maps of the area of interest for both point and distributed clutter. The above methods and the related field results are aimed at future qualification procedures and practical usage of small, cheap, and easily moveable radars for the detection of low-observable air targets, such as unmanned air vehicles/systems (UAV/UAS), in difficult ground areas. A significant set of experimental results as discussed in the paper confirms the great relevance of multipath in ground-based radar detection, with the need for correcting measures.

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