Described and illustrated is a method (1) for monitoring an operating according to the radar prin... more Described and illustrated is a method (1) for monitoring an operating according to the radar principle level gauge (2), wherein the gauge (2) a holder housing (3) with a process-side leak chamber (4), a signal conductor (5) for passing transmission - and / or receiving signals, a transmitting and receiving unit (6a) configured to transmit and receive the transmission and reception signals and a control and evaluation unit (6b) designed for controlling the transmitting and receiving unit and for evaluating the received signals, wherein the signal conductor (5) from the interior of the leakage chamber (4) of the holder housing (3) by a process-side first port (7) of the leakage chamber (4) and / or the holder housing (3) into the process side outside of the holder housing (3) is guided wherein the process-side first port (7) of the leakage chamber (4) and / or the holder housing (3) and the transmitting and receiving unit (6a) facing zw eite opening (8) of the leakage chamber (4) and ...
The objective of this thesis is the Automatic Target Classification (ATC) based on radar backscat... more The objective of this thesis is the Automatic Target Classification (ATC) based on radar backscattered Ultra WideBand (UWB) signals. The classification of the targets is realized by making comparison between the deduced target properties and the different target features which are already recorded in a database. First, the study of scattering theory allows us to understand the physical meaning of the extracted features and describe them mathematically. Second, feature extraction methods are applied in order to extract signatures of the targets. A good choice of features is important to distinguish different targets. Different methods of feature extraction are compared including wavelet transform and high resolution techniques such as: Prony’s method, Root-Multiple SIgnal Classification (Root-MUSIC), Estimation of Signal Parameters via Rotational Invariance Techniques (ESPRIT) and Matrix Pencil Method (MPM). Third, an efficient method of supervised classification is necessary to clas...
Dans cette proposition, la Section de Diffraction Totale (SDT) de différents objets est implément... more Dans cette proposition, la Section de Diffraction Totale (SDT) de différents objets est implémentée à partir d’un modèle numérique de Chambre Réverbérante (CR). En théorie, les mesures de SDT nécessitent de travailler en espace libre (chambre anéchoïde par exemple) en illuminant la cible par une série d’ondes planes. La méthode développée dans cette contribution autorise une prédiction de la SDT en quelques simulations incluant une CR via la méthode “Finite Integration Technique” (FIT). D’une part ces données simulées seront confrontées à des mesures réalisées dans la CR de l’Institut Pascal (IP). D’autre part, les résultats obtenus mettant en jeu différents objets sont comparés à la classification obtenue à partir d’une technique de Reconnaissance Automatique de Cibles (RAC) et de la méthode des équations intégrales.
In this paper, we propose a robust method for UWB automatic radar classification in white Gaussia... more In this paper, we propose a robust method for UWB automatic radar classification in white Gaussian noise and different aspect angles between the radar and the target. The method is based on the use of Matrix Pencil Method in Frequency Domain (MPMFD) for feature extraction and Mahalanobis Distance for classification. In order to test the accuracy of the proposed method, we have used complex target geometries modeled by perfectly conducting, straight, thin wires. Simulation results show that accurate results of radar target classification can be obtained by the proposed method. In addition, we prove that the proposed method has better ability to tolerate noise effects in radar target classification.
International Journal of Antennas and Propagation, 2014
Feature extraction is a challenging problem in radar target identification. In this paper, we pro... more Feature extraction is a challenging problem in radar target identification. In this paper, we propose a new approach of feature extraction by using Matrix Pencil Method in Frequency Domain (MPMFD). The proposed method takes into account not only the magnitude of the signal, but also its phase, so that all the physical characteristics of the target will be considered. With this method, the separation between the early time and the late time is not necessary. The proposed method is compared to Matrix Pencil Method in Time Domain (MPMTD). The methods are applied on UWB backscattered signal from three canonical targets (thin wire, sphere, and cylinder). MPMFD is applied on a complex field (real and imaginary parts of the signal). To the best of our knowledge, this comparison and the reconstruction of the complex electromagnetic field by MPMFD have not been done before. We show the effect of the two extraction methods on the accuracy of three different classifiers: Naïve bayes (NB), K-Ne...
Abstract—The principal objective of automatic target recognition (ATR) is to identify the target ... more Abstract—The principal objective of automatic target recognition (ATR) is to identify the target from UWB radar returns. In intelligent vehicles, ATR can be a solution to identify pedestrians, vehicles, traffic signs, etc. Typically radar ATR relies on classifying the characteristics of the target obtained from the backscattered signal. In this paper, we apply Matrix Pencil Method (MPM) to extract complex natural resonances (CNRs) from the late time part of the backscattered field, which is characteristic of the studied target and can be ...
In this paper, we investigate the interference caused by Non Linear (NL) power amplifiers togethe... more In this paper, we investigate the interference caused by Non Linear (NL) power amplifiers together with timing errors for multicarrier OFDM/FBMC transmissions. This kind of interference will be found in Cognitive Radio systems where users are non synchronized. We found that the global interference can be computed by adding the NL effect with the unsynchronized one. Finally, simulation results are
Described and illustrated is a method (1) for monitoring an operating according to the radar prin... more Described and illustrated is a method (1) for monitoring an operating according to the radar principle level gauge (2), wherein the gauge (2) a holder housing (3) with a process-side leak chamber (4), a signal conductor (5) for passing transmission - and / or receiving signals, a transmitting and receiving unit (6a) configured to transmit and receive the transmission and reception signals and a control and evaluation unit (6b) designed for controlling the transmitting and receiving unit and for evaluating the received signals, wherein the signal conductor (5) from the interior of the leakage chamber (4) of the holder housing (3) by a process-side first port (7) of the leakage chamber (4) and / or the holder housing (3) into the process side outside of the holder housing (3) is guided wherein the process-side first port (7) of the leakage chamber (4) and / or the holder housing (3) and the transmitting and receiving unit (6a) facing zw eite opening (8) of the leakage chamber (4) and ...
The objective of this thesis is the Automatic Target Classification (ATC) based on radar backscat... more The objective of this thesis is the Automatic Target Classification (ATC) based on radar backscattered Ultra WideBand (UWB) signals. The classification of the targets is realized by making comparison between the deduced target properties and the different target features which are already recorded in a database. First, the study of scattering theory allows us to understand the physical meaning of the extracted features and describe them mathematically. Second, feature extraction methods are applied in order to extract signatures of the targets. A good choice of features is important to distinguish different targets. Different methods of feature extraction are compared including wavelet transform and high resolution techniques such as: Prony’s method, Root-Multiple SIgnal Classification (Root-MUSIC), Estimation of Signal Parameters via Rotational Invariance Techniques (ESPRIT) and Matrix Pencil Method (MPM). Third, an efficient method of supervised classification is necessary to clas...
Dans cette proposition, la Section de Diffraction Totale (SDT) de différents objets est implément... more Dans cette proposition, la Section de Diffraction Totale (SDT) de différents objets est implémentée à partir d’un modèle numérique de Chambre Réverbérante (CR). En théorie, les mesures de SDT nécessitent de travailler en espace libre (chambre anéchoïde par exemple) en illuminant la cible par une série d’ondes planes. La méthode développée dans cette contribution autorise une prédiction de la SDT en quelques simulations incluant une CR via la méthode “Finite Integration Technique” (FIT). D’une part ces données simulées seront confrontées à des mesures réalisées dans la CR de l’Institut Pascal (IP). D’autre part, les résultats obtenus mettant en jeu différents objets sont comparés à la classification obtenue à partir d’une technique de Reconnaissance Automatique de Cibles (RAC) et de la méthode des équations intégrales.
In this paper, we propose a robust method for UWB automatic radar classification in white Gaussia... more In this paper, we propose a robust method for UWB automatic radar classification in white Gaussian noise and different aspect angles between the radar and the target. The method is based on the use of Matrix Pencil Method in Frequency Domain (MPMFD) for feature extraction and Mahalanobis Distance for classification. In order to test the accuracy of the proposed method, we have used complex target geometries modeled by perfectly conducting, straight, thin wires. Simulation results show that accurate results of radar target classification can be obtained by the proposed method. In addition, we prove that the proposed method has better ability to tolerate noise effects in radar target classification.
International Journal of Antennas and Propagation, 2014
Feature extraction is a challenging problem in radar target identification. In this paper, we pro... more Feature extraction is a challenging problem in radar target identification. In this paper, we propose a new approach of feature extraction by using Matrix Pencil Method in Frequency Domain (MPMFD). The proposed method takes into account not only the magnitude of the signal, but also its phase, so that all the physical characteristics of the target will be considered. With this method, the separation between the early time and the late time is not necessary. The proposed method is compared to Matrix Pencil Method in Time Domain (MPMTD). The methods are applied on UWB backscattered signal from three canonical targets (thin wire, sphere, and cylinder). MPMFD is applied on a complex field (real and imaginary parts of the signal). To the best of our knowledge, this comparison and the reconstruction of the complex electromagnetic field by MPMFD have not been done before. We show the effect of the two extraction methods on the accuracy of three different classifiers: Naïve bayes (NB), K-Ne...
Abstract—The principal objective of automatic target recognition (ATR) is to identify the target ... more Abstract—The principal objective of automatic target recognition (ATR) is to identify the target from UWB radar returns. In intelligent vehicles, ATR can be a solution to identify pedestrians, vehicles, traffic signs, etc. Typically radar ATR relies on classifying the characteristics of the target obtained from the backscattered signal. In this paper, we apply Matrix Pencil Method (MPM) to extract complex natural resonances (CNRs) from the late time part of the backscattered field, which is characteristic of the studied target and can be ...
In this paper, we investigate the interference caused by Non Linear (NL) power amplifiers togethe... more In this paper, we investigate the interference caused by Non Linear (NL) power amplifiers together with timing errors for multicarrier OFDM/FBMC transmissions. This kind of interference will be found in Cognitive Radio systems where users are non synchronized. We found that the global interference can be computed by adding the NL effect with the unsynchronized one. Finally, simulation results are
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Papers by Mahmoud Khodjet-Kesba