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Localisation à haute résolution de cibles lentes et de petite taille à l’aide de radars de sol hautement ambigus

Abstract : The aim of this thesis is to enhance the detection of slow-moving targets with low reflectivity in case of ground-based pulse Doppler radars operating in intermediate pulse repetition frequency. These radars are highly ambiguous in range and Doppler. To resolve ambiguities, they transmit successively short pulse trains with different pulse repetition intervals. The transmission of short pulse trains results in a poor Doppler resolution. As consequence, slow-moving targets with low reflectivity, such as unmanned aerial vehicles, are buried into clutter returns. One of the main drawbacks of the classical Doppler processing of intermediate pulse repetition frequency pulse Doppler radars is the low detection performance of small and slowly-moving targets after ground clutter rejection. In order to address this problem, a two-dimensional range / Dopper processing chain including new techniques is proposed in this thesis. First, an iterative algorithm allows to exploit transmitted pulse trains temporal diversity to resolve range and Doppler ambiguities and detect fast, exo-clutter, targets. The detection of slow, endo-clutter, targets is then performed by an adaptive detection scheme. It uses a new covariance matrix estimation approach allowing the association of pulse trains with different characteristics in order to enhance detection performance. The different tests performed on simulated and real data to evaluate the proposed techniques and the new processing chain have shown their effectiveness.
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Submitted on : Monday, May 7, 2018 - 11:48:26 AM
Last modification on : Monday, October 5, 2020 - 9:50:27 AM
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  • HAL Id : tel-01787110, version 1


Linda Hadded Aouchiche. Localisation à haute résolution de cibles lentes et de petite taille à l’aide de radars de sol hautement ambigus. Traitement du signal et de l'image [eess.SP]. Université Rennes 1, 2018. Français. ⟨NNT : 2018REN1S008⟩. ⟨tel-01787110⟩



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