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Last name: MILLOT
First name: Patrick
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In this paper, we present through the wall (TTW) radar detection simulations with an emerging radar architecture which is the multiple-input multiple-output (MIMO) radar. The urban environment, especially in TTW detection, is very tough for radar detection. With the aim of improving the detection performances, we use several spaced antennas in...
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Since the last decades the next step in radar architecture referred as multiple input multiple output (MIMO) has become an attractive field of research due to its potential to clearly increase radar performance. MIMO radar offers new perspectives to improve target detection and localization (waveform design, antenna configuration design,...
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A study of an ultrawideband frequency-modulated continuous-wave radar with an extended frequency sweep from 0.5 to 8 GHz is presented. It has been applied to through-the-wall human detection. This work presents the modeling of wall attenuation followed by real measurements. The radar system is presented, and trials of human being tracking are...
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Integrated Protection and Production in Viticulture
In this paper, we present a study of short range radar for through-the-wall detection and tracking of human beings. New concepts envisaged here are based on an Ultra Wide Band (UWB) waveform and on the use of numerous separated antennas. A full wave 2D simulator using the FDTD method has been performed in order to deliver synthetic data for...
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In this paper we present the development and preliminary results of an ultra-wideband Frequency Modulated Continuous Wave (FMCW) Through-The-Wall (TTW) radar prototype built at ONERA in Toulouse, France. The radar operates between 0.5 and 8 GHz in three possible subbands:0.5-2 GHz, 1-4 GHz or 2-8 GHz depending on the type of wall. The radar has...
A time reversal method is studied and adapted to through-the-wall detection and localization of moving targets. Tests are realisedon experimental data in a synthetic aperture radar configuration. Theefficiency of the method to extract a moving target from a clutteredenvironment is proved on experimental data.
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