The Experts below are selected from a list of 207 Experts worldwide ranked by ideXlab platform
Kutluyil Dogancay - One of the best experts on this subject based on the ideXlab platform.
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on waveform design in interference tolerant range doppler estimation for wideband Multistatic Radars
European Signal Processing Conference, 2011Co-Authors: Antonio Napolitano, Kutluyil DogancayAbstract:The problem of waveform selection for range-Doppler estimation in wide-band Multistatic Radars is addressed. The transmitted signal is assumed to be cyclostationary, and cyclostationarity properties are exploited for range-Doppler estimation in severe noise and interference environments. Simulation studies are carried out to investigate waveform parameter selection for better estimation performance.
Luc Vandendorpe - One of the best experts on this subject based on the ideXlab platform.
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sparsity driven moving target detection in distributed Multistatic fmcw Radars
arXiv: Signal Processing, 2020Co-Authors: Gilles Monnoyer De Galland, Thomas Feuillen, Laurent Jacques, Luc VandendorpeAbstract:We investigate the problem of sparse target detection from widely distributed Multistatic \textit{Frequency Modulated Continuous Wave} (FMCW) radar systems (using chirp modulation). Unlike previous strategies (\emph{e.g.}, developed for FMCW or distributed Multistatic Radars), we propose a generic framework that scales well in terms of computational complexity for high-resolution space-velocity grid. Our approach assumes that \emph{(i)} the target signal is sparse in a discrete space-velocity domain, hence allowing for non-static target detection, and \emph{(ii)} the resulting multiple baseband radar signals share a common support. By simplifying the representation of the FMCW radar signals, we propose a versatile scheme balancing complexity and detection accuracy. In particular, we design a low-complexity, factorized alternative for the Matching Pursuit algorithm leveraging this simplified model, as well as an iterative methodology to compensate for the errors caused by the model simplifications. Extensive Monte-Carlo simulations of a K-band radar system show that our method achieves a fast estimation of moving target's parameters on dense grids, with controllable accuracy, and reaching state-of-the-art performances compared to previous sparsity-driven approaches.
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sparsity driven moving target detection in distributed Multistatic fmcw Radars
IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2019Co-Authors: Gilles Monnoyer De Galland De Carnieres, Thomas Feuillen, Laurent Jacques, Luc VandendorpeAbstract:We investigate the problem of sparse target detection from widely distributed Multistatic Frequency Modulated Continuous Wave (FMCW) radar systems (using chirp modulation). Unlike previous strategies (e.g., developed for FMCW or distributed Multistatic Radars), we propose a generic framework that scales well in terms of computational complexity for high-resolution space-velocity grid. Our approach assumes that (i) the target signal is sparse in a discrete space-velocity domain, hence allowing for non-static target detection, and (ii) the resulting multiple baseband radar signals share a common support. By simplifying the representation of the FMCW radar signals, we propose a versatile scheme balancing complexity and detection accuracy. In particular, we design a low-complexity, factorized alternative for the Matching Pursuit algorithm leveraging this simplified model, as well as an iterative methodology to compensate for the errors caused by the model simplifications. Extensive Monte-Carlo simulations of a K-band radar system show that our method achieves a fast estimation of moving target's parameters on dense grids, with controllable accuracy, and reaching state-of-the-art performances compared to previous sparsity-driven approaches.
Antonio Napolitano - One of the best experts on this subject based on the ideXlab platform.
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on waveform design in interference tolerant range doppler estimation for wideband Multistatic Radars
European Signal Processing Conference, 2011Co-Authors: Antonio Napolitano, Kutluyil DogancayAbstract:The problem of waveform selection for range-Doppler estimation in wide-band Multistatic Radars is addressed. The transmitted signal is assumed to be cyclostationary, and cyclostationarity properties are exploited for range-Doppler estimation in severe noise and interference environments. Simulation studies are carried out to investigate waveform parameter selection for better estimation performance.
Moeness G Amin - One of the best experts on this subject based on the ideXlab platform.
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three dimensional through wall sensing of moving targets using passive Multistatic Radars
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2016Co-Authors: Gianluca Gennarelli, Raffaele Solimene, Francesco Soldovieri, Moeness G AminAbstract:This paper deals with the localization of moving targets in a three-dimensional (3-D) space by a passive Multistatic through-wall radar system. Receiving sensors are deployed around the surveillance area to gather the electromagnetic signals scattered from targets, which are illuminated by opportunistic sources present in the environment. A single frequency operation of the system is assumed in view of the narrowband nature of sources commonly encountered in practical situations. The localization task is undertaken by using an inverse source-based approach, where the unknown targets are estimated as the supports of current distributions induced over their volume/surface. A multiarray image fusion strategy is applied to mitigate the lack of resolution associated with the single frequency receiver operation. The change detection is used to detect and localize animate targets in the scene. The feasibility and effectiveness of the proposed approach is assessed by numerical tests based on full-wave synthetic data.
Ch Pichot - One of the best experts on this subject based on the ideXlab platform.
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90 GHz - 3D Scattered Field Measurements for Investigation of Foreign Object Debris
IEEE Transactions on Antennas and Propagation, 2019Co-Authors: Florence. Nsengiyumva, Carla Migliaccio, Jerôme Lanteri, Jean-yves Dauvignac, Laurent Brochier, Ch PichotAbstract:Scattering properties of millimeter waves (MMW) remain relatively unknown compared to lower frequency bands, although their study is of interest considering the increasing number of civil applications, especially in the W-band. In this paper, we present an efficient measurement set-up that provides scattering measurements with spatial and polarization diversities. The targeted application is Foreign Object Debris (FOD) detection and identification for surveillance of airport runways. Most existing systems are monostatic but rapid advances in MMW technology pushes toward the deployment of Multistatic Radars on either side of airport runways. In the following, we investigate the contribution of Multistatic measurements with a special focus on the reconstruction of glass and brake pad debris, courtesy of DGAC (French Civil Aviation). We also present an efficient approach for making images of FODs. For this, we process scattered field measurements with an additive (with respect to polarization) back-propagation algorithm. First images include all measured points taken from the upper hemisphere. In order to get closer to the final application, we restrict the field of view to receivers facing the transmitter. Both approaches provide very good shape reconstruction of the glass debris and the central zone of the brake pad. To our best knowledge, this is the first time that full-3D measurements have been conducted on FODs in the W-band. It is also the first example of a 3D qualitative image of FOD obtained from measured data in the W-band
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Millimeter-Wave Imaging for FOD Detection
Air Traffic Management and Systems III, 2019Co-Authors: Florence. Nsengiyumva, Carla Migliaccio, Ch PichotAbstract:We present an efficient approach for reconstructing images of small objects and Foreign Object Debris (FODs) from scattered field synthetic data and measurements in W-band (75−110 GHz), taking advantages of spatial and polarization diversities, and process them with either qualitative or quantitative inverse methods. The target application is FOD detection for airport runways. We investigate FOD detection and identification capabilities through two approaches: a quantitative reconstruction under 2D assumption and qualitative reconstruction using a Backpropagation algorithm (BP). Most existing systems are monostatic but rapid advances in millimeter-wave technologies make it realistic to imagine the deployment of Multistatic Radars on either side of airport runways. In the following, we investigate the contribution of Multistatic measurements, on the reconstruction of typical debris, courtesy of DGAC (French Civil Aviation).
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Millimeter-Wave Imaging for FOD Detection
2017Co-Authors: Florence. Nsengiyumva, Carla Migliaccio, Ch PichotAbstract:We present an efficient approach to reconstruct images of small objects and Foreign Object Debris (FODs) from scattered field synthetic data and measurements in W-band (75-110 GHz), taking advantages of spatial and polarization diversities, and processed with either qualitative or quantitative inverse methods. The target application is FOD detection for airport runways. Most existing systems are monostatic but rapid advances in millimeter-wave technologies make it realistic to imagine the deployment of Multistatic Radars on either side of airport runways. In the following, we investigate the contribution of Multistatic measurements, on the reconstruction of typical debris, courtesy of DGAC (French Civil Aviation).
