Thematische Bibliographien / Radar Antennas Testing

Auswahl der wissenschaftlichen Literatur zum Thema „Radar Antennas Testing“

Autor: Grafiati
Veröffentlicht am 4. Juni 2021
Zuletzt aktualisiert am 30. Januar 2023

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  1. Zeitschriftenartikel
  2. Dissertationen
  3. Konferenzberichte

Zeitschriftenartikel zum Thema "Radar Antennas Testing":

1

Wang, Bin, Shunan Wang, Dan Zeng und Min Wang. „Convolutional Neural Network-Based Radar Antenna Scanning Period Recognition“. Electronics 11, Nr. 9 (26.04.2022): 1383. http://dx.doi.org/10.3390/electronics11091383.

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The antenna scanning period (ASP) of radar is a crucial parameter in electronic warfare (EW) which is used in many applications, such as radar work pattern recognition and emitter recognition. For antennas of radars and EW systems, which perform scanning circularly, the method based on threshold measurement is invalid. To overcome this shortcoming, this study proposes a method using the convolutional neural network (CNN) to recognize the ASP of radar under the condition that antennas of the radar and EW system both scan circularly. A system model is constructed, and factors affecting the received signal power are analyzed. A CNN model for rapid and accurate ASP radar classification is developed. A large number of received signal time–power images of three separate ASPs are used for the training and testing of the developed model under different experimental conditions. Numerical experiment results and performance comparison demonstrate high classification accuracy and effectiveness of the proposed method in the condition that antennas of radar and EW system are circular scan, where the average recognition accuracy for radar ASP is at least 90% when the signal to-noise ratio (SNR) is not less than 30 dB, which is significantly higher than the recognition accuracy of NAC and AFT methods based on adaptive threshold detection.
2

Wang, Bin, Shunan Wang, Dan Zeng und Min Wang. „Convolutional Neural Network-Based Radar Antenna Scanning Period Recognition“. Electronics 11, Nr. 9 (26.04.2022): 1383. http://dx.doi.org/10.3390/electronics11091383.

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The antenna scanning period (ASP) of radar is a crucial parameter in electronic warfare (EW) which is used in many applications, such as radar work pattern recognition and emitter recognition. For antennas of radars and EW systems, which perform scanning circularly, the method based on threshold measurement is invalid. To overcome this shortcoming, this study proposes a method using the convolutional neural network (CNN) to recognize the ASP of radar under the condition that antennas of the radar and EW system both scan circularly. A system model is constructed, and factors affecting the received signal power are analyzed. A CNN model for rapid and accurate ASP radar classification is developed. A large number of received signal time–power images of three separate ASPs are used for the training and testing of the developed model under different experimental conditions. Numerical experiment results and performance comparison demonstrate high classification accuracy and effectiveness of the proposed method in the condition that antennas of radar and EW system are circular scan, where the average recognition accuracy for radar ASP is at least 90% when the signal to-noise ratio (SNR) is not less than 30 dB, which is significantly higher than the recognition accuracy of NAC and AFT methods based on adaptive threshold detection.
3

Wang, Bin, Shunan Wang, Dan Zeng und Min Wang. „Convolutional Neural Network-Based Radar Antenna Scanning Period Recognition“. Electronics 11, Nr. 9 (26.04.2022): 1383. http://dx.doi.org/10.3390/electronics11091383.

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The antenna scanning period (ASP) of radar is a crucial parameter in electronic warfare (EW) which is used in many applications, such as radar work pattern recognition and emitter recognition. For antennas of radars and EW systems, which perform scanning circularly, the method based on threshold measurement is invalid. To overcome this shortcoming, this study proposes a method using the convolutional neural network (CNN) to recognize the ASP of radar under the condition that antennas of the radar and EW system both scan circularly. A system model is constructed, and factors affecting the received signal power are analyzed. A CNN model for rapid and accurate ASP radar classification is developed. A large number of received signal time–power images of three separate ASPs are used for the training and testing of the developed model under different experimental conditions. Numerical experiment results and performance comparison demonstrate high classification accuracy and effectiveness of the proposed method in the condition that antennas of radar and EW system are circular scan, where the average recognition accuracy for radar ASP is at least 90% when the signal to-noise ratio (SNR) is not less than 30 dB, which is significantly higher than the recognition accuracy of NAC and AFT methods based on adaptive threshold detection.
4

MARUDDANI, BASO, EFRI SANDI EFRI SANDI und MUHAMMAD FADHIL NAUFAL SALAM. „Perancangan dan Optimasi Antena Vivaldi pada Sistem Radar Penembus Permukaan (Ground Penetrating Radar)“. ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika 7, Nr. 1 (24.01.2019): 151. http://dx.doi.org/10.26760/elkomika.v7i1.151.

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ABSTRAKAntena Vivaldi merupakan salah satu jenis antena yang diimplementasikan pada radar penembus permukaan (Ground Penetrating Radar, GPR). GPR adalah salah satu metode non-destructive testing yang biasa digunakan untuk mengetahui kondisi beton/jalan raya. Penelitian ini merancang sebuah antena Vivaldi untuk digunakan pada GPR dengan frekuensi kerja 1 GHz – 2 GHz. Metode yang digunakan untuk merancang dan mengoptimasi antena Vivaldi adalah dengan mengubah beberapa parameter untuk mencapai spesifikasi yang diinginkan. Parameter tersebut antara lain lebar antena, panjang antena dan tapered slot. Optimasi yang dilakukan tetap memperhatikan pola radiasi antena agar tetap terarah. Hasil penelitian ini menghasilkan antena Vivaldi dengan dimensi 350x300 mm dengan return loss di bawah -10 dB pada rentang frekuensi 1 GHz – 2 GHz. Hasil penelitian juga menunjukkan bahwa perubahan nilai parameter lebar antena dan tapered slot menggeser frekuensi kerja antena secara signifikan.Kata kunci: Ground Penetrating Radar, Vivaldi, return loss, parameter antena ABSTRACTThe Vivaldi antenna is one type of antenna that is implemented on Ground Penetrating Radar (GPR). GPR is one of the non-destructive testing methods commonly used to determine the condition of concrete / highway. This studyaim to design a Vivaldi antenna to be used on GPR with a working frequency of 1 GHz - 2 GHz. The method that used to design and optimize Vivaldi antennas is by changing several parameters to achieve the desired specifications. These parameters include antenna width, antenna length and tapered slot. Optimization carried out still observes the radiation pattern of the antenna to keep it directed. The results showed that 350 x 300 mm antennas with return loss below -10 dB in the frequency range of 1 GHz - 2 GHz. The results also show that changes in the parameter width of the antenna and tapered slots shift the antenna working frequency significantly.Keywords: Ground Penetrating Radar, Vivaldi, return loss, antenna parameter
5

Chipengo, Ushemadzoro, Peter M. Krenz und Shawn Carpenter. „From Antenna Design to High Fidelity, Full Physics Automotive Radar Sensor Corner Case Simulation“. Modelling and Simulation in Engineering 2018 (27.12.2018): 1–19. http://dx.doi.org/10.1155/2018/4239725.

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Advanced driver assistance systems (ADAS) have recently been thrust into the spotlight in the automotive industry as carmakers and technology companies pursue effective active safety systems and fully autonomous vehicles. Various sensors such as lidar (light detection and ranging), radar (radio detection and ranging), ultrasonic, and optical cameras are employed to provide situational awareness to vehicles in a highly dynamic environment. Radar has emerged as a primary sensor technology for both active/passive safety and comfort-advanced driver-assistance systems. Physically building and testing radar systems to demonstrate reliability is an expensive and time-consuming process. Simulation emerges as the most practical solution to designing and testing radar systems. This paper provides a complete, full physics simulation workflow for automotive radar using finite element method and asymptotic ray tracing electromagnetic solvers. The design and optimization of both transmitter and receiver antennas is presented. Antenna interaction with vehicle bumper and fascia is also investigated. A full physics-based radar scene corner case is modelled to obtain high-fidelity range-Doppler maps. Finally, this paper investigates the effects of inclined roads on late pedestrian detection and the effects of construction metal plate radar returns on false target identification. Possible solutions are suggested and validated. Results from this study show how pedestrian radar returns can be increased by over 16 dB for early detection along with a 27 dB reduction in road construction plate radar returns to suppress false target identification. Both solutions to the above corner cases can potentially save pedestrian lives and prevent future accidents.
6

Bernatek-Jakiel, Anita, und Marta Kondracka. „Detection of Soil Pipes Using Ground Penetrating Radar“. Remote Sensing 11, Nr. 16 (09.08.2019): 1864. http://dx.doi.org/10.3390/rs11161864.

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Soil piping leads to land degradation in almost all morphoclimatic regions. However, the detection of soil pipes is still a methodological challenge. Therefore, this study aims at testing ground penetrating radar (GPR) to identify soil pipes and to present the complexity of soil pipe networks. The GPR surveys were conducted at three sites in the Bieszczady Mountains (SE Poland), where pipes develop in Cambisols. In total, 36 GPR profiles longitudinal and transverse to piping systems were made and used to provide spatial visualization of pipe networks. Soil pipes were identified as reflection hyperbolas on radargrams, which were verified with the surface indicators of piping, i.e., sagging of the ground and the occurrence of pipe roof collapses. Antennas of 500 MHz and 800 MHz were tested, which made possible the penetration of the subsurface up to 3.2 m and 2 m, respectively. Concerning ground properties, antenna frequencies and processing techniques, there was a potential possibility to detect pipes with a minimum diameter of 3.5 cm (using the antenna of lower frequency), and 2.2 cm (with the antenna of higher frequency). The results have proved that soil pipes meander horizontally and vertically and their networks become more complicated and extensive down the slope. GPR is a useful method to detect soil pipes, although it requires field verification and the proper selection of antenna frequency.
7

Langston, Glen. „NRAO 43-m telescope operation at 170-1700 MHz: a Bi-Static Radar Collaboration“. Proceedings of the International Astronomical Union 2, Nr. 14 (August 2006): 367. http://dx.doi.org/10.1017/s1743921307011015.

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AbstractThe NRAO 43m telescope has been refurbished and begun regular observations in the frequency range 170 - 1700 MHz. The 43 m operations support a Bi-Static Radar Collaboration to measure the Earth's ionospheric turbulence. Researchers from Chalmers University of Technology in Sweden have designed and built a unique design wide-band feed, 150 - 1700 MHz. Lincoln Laboratories/MIT has packaged the feed with room temperature low noise amplifiers. Lincoln Laboratories has installed a high-dynamic range RF system together with a wide-band sampler system. The NRAO operates the 43 m telescope according to schedules authored by Lincoln Laboratories. Currently the 43 m telescope is tracking spacecraft 48 hr a week. The tracking antenna operation is completely automated. A group at MIT/Haystack have installed a second radar experiment at the 43 m as well as an array of 6 ‘discone’ antennas. Their experiment is testing the use of reflected FM radio stations as probes of the ionosphere.
8

Galajda, Pavol, Alena Galajdova, Stanislav Slovak, Martin Pecovsky, Milos Drutarovsky, Marek Sukop und Ihab BA Samaneh. „Robot vision ultra-wideband wireless sensor in non-cooperative industrial environments“. International Journal of Advanced Robotic Systems 15, Nr. 4 (01.07.2018): 172988141879576. http://dx.doi.org/10.1177/1729881418795767.

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In this article, the ultra-wideband technology for localization and tracking of the robot gripper (behind the obstacles) in industrial environments is presented. We explore the possibilities of ultra-wideband radar sensor network employing the centralized data fusion method that can significantly improve tracking capabilities in a complex environment. In this article, we present ultra-wideband radar sensor network hardware demonstrator that uses a new wireless ultra-wideband sensor with an embedded controller to detect and track online or off-line movement of the robot gripper. This sensor uses M-sequence ultra-wideband radars front-end and low-cost powerful processors on a system on chip with the advanced RISC machines (ARM) architecture as a main signal processing block. The ARM-based single board computer ODROID-XU4 platform used in our ultra-wideband sensor can provide processing power for the preprocessing of received raw radar signals, algorithms for detection and estimation of target’s coordinates, and finally, compression of data sent to the data fusion center. Data streams of compressed target coordinates are sent from each sensor node to the data fusion center in the central node using standard the wireless local area network (WLAN) interface that is the feature of the ODROID-XU4 platform. The article contains experimental results from measurements where sensors and antennas are located behind the wall or opaque material. Experimental testing confirmed capability of real-time performance of developed ultra-wideband radar sensor network hardware and acceptable precision of software. The introduced modular architecture of ultra-wideband radar sensor network can be used for fast development and testing of new real-time localization and tracking applications in industrial environments.
9

Pryshchenko, Oleksandr A., Vadym Plakhtii, Oleksandr M. Dumin, Gennadiy P. Pochanin, Vadym P. Ruban, Lorenzo Capineri und Fronefield Crawford. „Implementation of an Artificial Intelligence Approach to GPR Systems for Landmine Detection“. Remote Sensing 14, Nr. 17 (05.09.2022): 4421. http://dx.doi.org/10.3390/rs14174421.

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Artificial Neural Network (ANN) approaches are applied to detect and determine the object class using a special set of the UltraWideBand (UWB) pulse Ground Penetrating Radar (GPR) sounding results. It used the results of GPR sounding with the antenna system, consisting of one radiator and four receiving antennas located around the transmitting antenna. The presence of four receiving antennas and, accordingly, the signals received from four spatially separated positions of the antennas provide a collection of signals received after reflection from an object at different angles and, due to this, to determine the location of the object in a coordinate system, connected to the antenna. We considered the sums and differences of signals received by two of the four antennas in six possible combinations: (1 and 2, 1 and 3, 2 and 3, 1 and 4, etc.). These combinations were then stacked sequentially one by one into one long signal. Synthetic signals constructed in such a way contain many more notable differences and specific information about the class to which the object belongs as well as the location of the searched object compared to the signals obtained by an antenna system with just one radiating and one receiving antenna. It therefore increases the accuracy in determining the object’s coordinates and its classification. The pulse radiation, propagation, and scattering are numerically simulated by the finite difference time domain (FDTD) method. Results from the experiment on mine detection are used to examine ANN too. The set of signals from different objects having different distances from the GPR was used as a training and testing dataset for ANN. The training aims to recognize and classify the detected object as a landmine or other object and to determine its location. The influence of Gaussian noise added to the signals on noise immunity of ANN was investigated. The recognition results obtained by using an ANN ensemble are presented. The ensemble consists of fully connected and recurrent neural networks, gated recurrent units, and a long-short term memory network. The results of the recognition by all ANNs are processed by a meta network to provide a better quality of underground object classification.
10

Ajith, K. K., und Amitabha Bhattacharya. „Improving the GPR Detectability Using a Novel Loop Bowtie Antenna“. Journal of Telecommunications and Information Technology, Nr. 3 (2017): 9–16. http://dx.doi.org/10.26636/jtit.2017.120917.

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The Ground Penetrating Radar (GPR) technique finds immense applications in civil engineering today, as the most suitable approach for non-destructive testing of pavements, highways, concrete structures, and more. The major challenge in carrying out a GPR evaluation is that the properties of the probed medium are usually unknown. The permittivity and conductivity of the medium may vary from those of air to water. The electromagnetic waves also have a frequency dependent attenuation. The ability of GPR to detect signals reflected and scattered by the targets largely depends upon the antenna performance. This paper studies a novel 11:1 wideband loop bowtie antenna with very good radiation properties in the entire operating bandwidth. Synthetic and experimental results are presented for the return loss and gain of the antenna. Furthermore, experimental results are presented for the radiation patterns in the E- and H-plane. We also used the antenna to measure B-scans over two different pipes, a bamboo, and a reinforced concrete structure. All results obtained with the proposed antenna have been compared with results obtained by using a RC loaded antenna. It has been found that the loop bowtie antenna has excellent detection capability and produces less clutter. The loop loading technique can be applied to existing antennas for improved GPR imaging. This will improve the detectability of GPR by improving the target return signal.
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Zeitschriftenartikel

Dissertationen zum Thema "Radar Antennas Testing":

1

Chong, Aaron A. „Complementary GPR antennas and watertank testing /“. St. Lucia, Qld, 2001. http://www.library.uq.edu.au/pdfserve.php?image=thesisabs/absthe16096.pdf.

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2

Esswein, Lance C. „Genetic algorithm design and testing of a random element 3-D 2.4 GHZ phased array transmit antenna constructed of commercial RF microchips“. Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2003. http://library.nps.navy.mil/uhtbin/hyperion-image/03Jun%5FEsswein.pdf.

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Thesis (M.S. in Physics)--Naval Postgraduate School, June 2003.
Thesis advisor(s): Michael Melich, David Jenn, Rodney Johnson. Includes bibliographical references (p. 113-115). Also available online.
3

May, Peter T. „VHF radar studies of the troposphere /“. Title page, contents and summary only, 1986. http://web4.library.adelaide.edu.au/theses/09PH/09phm4666.pdf.

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4

Choudhary, Vipin. „Nondestructive testing and antenna measurements using UWB radar in industrial applications“. Licentiate thesis, KTH, Teknisk informationsvetenskap, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-291129.

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Many industries are rapidly substituting the manual test operations and move towards automated operations using modern technologies.Modern technologies such as digital cameras, sonic sensors, infrared sensors, and radar and lidar systems are used for non-destructive testingoperations. Among all the different sensors, radar systems have theability to penetrate built structures (dielectric materials), which makes them flexible and suitable for a wide range of industrial and military applications in non-destructive sensing. Such examples are the detection of damages in goods manufacturing, monitoring the health of manystructures, object detection through the wall for security purposes, etc.In particular, ultra-wide-band (UWB) radar systems are beneficial inproviding high measurement accuracy and simultaneously reduced sensitivityto passive interference (such as rain, smoke, mist etc.), immunity to external radiation and noise.The objectives of this thesis are: I) to investigate electrically small concealed structures using synthetic aperture radar (SAR), II) to determinethe complex refractive index of objects using an UWB radar system,and III) to answer to the question how we can reduce the mutual coupling (cross talk) in an UWB radar system with collocated transmitand receive antennae. In objective I, the aim is non-destructive testing of built structures, such as in concrete slab manufacturing or for use in the renovation process. In addition electrically small periodic meshes,and their orientation, could not be distinguished in conventional SAR images. The proposed polarimetric analysis method demonstrates the usefulness of the singular value decomposition (SVD) using back projection algorithm (BPA) in extracting information about shape and for classifying an electrically small object. Further in this thesis for objective II, a new method for determining the complex refractive index (or equivalently the complex relative permittivity) of objects with planar interfaces is presented. The proposed method is relatively insensitive to hardware-impairments such as frequency-dependence of antennas and analog front end. The objects can be finite in size and at a finite distance. The limits in size and distance for the method to be valid are experimentally investigated. Hence, the method is designed for industrial in-line measurements onobjects on conveyor belts. Furthermore, in the following parts of this thesis −objective III− we investigate and show how a microwave metamaterial based absorber can be used to improve the performance of aradar system for short range applications, when positioned between the transmit and receive antennas. As results, the error in estimated target distance is reduced and clutter reduction is improved.
Många branscher ersätter snabbt de manuella testoperationerna och går mot automatiserad drift med modern teknik. Modern teknik såsom digitalkameror, soniska sensorer, infraröda sensorer och radar och lidarsystem används för i icke-förstörande tester. Bland alla olika sensorerhar radarsystem förmågan att tränga igenom byggda strukturer (dielektriskmaterial), vilket gör dem flexibla och lämpliga för ett brettspektrum av industriella och militära applikationer vid icke-förstörande avkänning. Sådana exempel är upptäckt av skador vid tillverkning av varor, övervakning av hälsa hos många strukturer, detektering av objekt genom väggen av säkerhetsskäl etc. Speciellt är radarsystem med ultrabredband (UWB) fördelaktiga då de ger hög mätnoggrannhet och samtidigt minskad känslighet mot passiva störningar (såsom regn, rök,dimma etc.), och immunitet mot yttre strålning och buller. Syftet med denna avhandling är : I) att undersöka elektriskt små dolda struktur med syntetisk bländaradar (SAR), II) att bestämma komplex brytningsindex för objekt som använder UWB radarsystem, ochIII) att svar på frågan hur vi kan minska den ömsesidiga kopplingen(överhörning) i ett UWB radarsystem med sändar- och mottagarantenner nära varandra. I mål I, är målet icke-förstörande provning avbyggda struktures såsom vid tillverkning av betongplattor eller vid renovering. I tillägg kunde inte elektriskt små strukturer och deras inre struktur urskiljas i konventionella SAR-bilder. Den föreslagna polarimetriskaanalysmetoden visar på hur användbar singulärvärdesuppdelning(SVD) med bakåtprojektion (BPA) är för att få information om och för att klassificera elektriskt små objekt.Vidare i denna avhandling visas för mål II en ny metod för att bestämma komplexa brytningsindex (eller motsvarande komplexa relativa permittiviteten) hos objekt med plana ytor. Den föreslagna metoden är relativt okänslig för svagheter hos hårdvaran, såsom frekvensberoende hos antennener och analog front-end. Objekten kan vara av ändlig storlek och på ändligt avstånd. Begränsningarna i storlek och avstånd för metoden att vara giltig undersöktes experimentellt. Sålunda är metoden utformad för industriella mätningar på föremål på transportband. I de följande delarna av avhandlingen - mål III - undersöker och visar vi dessutom hur en absorbator för mikrovågor, baserad på metamaterial, kan användas för att förbättra prestanda hos ett radarsystem för korta avstånd, när absorbatorn placeras mellan sändar- och mottagantenner. Resultatet blir att felet i det bestämda avståndet till målet minskar och undertryckning av klotter ökar.

QC 20210309

5

Sterne, Kevin Tyler. „Testing the Re-designed SuperDARN HF Radar and Modeling of a Twin Terminated Folded Dipole Array“. Thesis, Virginia Tech, 2010. http://hdl.handle.net/10919/32239.

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The Super Dual Auroral Radar Network (SuperDARN) is an international collaboration of researchers interested in Earthâ s near-space plasma environment. This group uses high frequency (HF) radars and backscatter from magnetic field-aligned plasma irregularities to study space weather manifested in the Earthâ s magnetosphere and ionosphere. Space weather impacts many technological systems including Global Positioning System (GPS), spacecraft orbits, power distribution, surveillance radar, HF communications and transpolar aviation. This thesis explores, in detail, the techniques and challenges of constructing, testing, and operating a newly designed SuperDARN HF radar. In modern times, the use of such frequencies for radar is limited to very specific applications and thus the topics presented are not common place. A new antenna design, the twin terminated folded dipole (TTFD), is analyzed along with the modeling results for several proposed and constructed phased arrays for this design. Finally, an initial radiation pattern measurement for the TTFD is presented and notes on how a similar measurement might be conducted on a TTFD phased array.
Master of Science
6

Ben, Abdallah Rayen. „Statistical signal processing exploiting low-rank priors with applications to detection in Heterogeneous Environment“. Thesis, Paris 10, 2019. http://www.theses.fr/2019PA100076.

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Dans un premier lieu, nous considérons le problème de l'estimation de sous-espace d'un signal d'intérêt à partir d'un jeu de données bruité. Pour ce faire, nous adoptons une approche Bayésienne afin d'obtenir un estimateur minimisant la distance moyenne entre la vraie matrice de projection et son estimée. Plus particulièrement, nous étendons les estimateurs au contexte Gaussien composé pour les sources où l'a priori sur la base sera une loi complexe generalized Bingham Langevin. Enfin, nous étudions numériquement les performances de l'estimateur proposé sur une application de type space time adaptive processing pour un radar aéroporté au travers de données réelles.Dans un second lieu, nous nous intéressons au test de propriété communes entre les matrices de covariance. Nous proposons des nouveaux tests statistiques dans le contexte de matrices de covariance structurées. Plus précisément, nous considérons un signal de rang faible corrompu par un bruit blanc Gaussien additif. Notre objectif est de tester la similarité des composantes principales à rang faible communes à un ensemble de matrices de covariance. Dans un premier temps, une statistique de décision est dérivée en utilisant le rapport de vraisemblance généralisée. Le maximum de vraisemblance n'ayant pas d'expression analytique dans ce cas, nous proposons un algorithme d'estimation itératif de type majoration-minimisation pour pouvoir évaluer les tests proposés. Enfin, nous étudions les propriétés des détecteurs proposés à l'aide de simulations numériques
In this thesis, we consider first the problem of low dimensional signal subspace estimation in a Bayesian context. We focus on compound Gaussian signals embedded in white Gaussian noise, which is a realistic modeling for various array processing applications. Following the Bayesian framework, we derive algorithms to compute both the maximum a posteriori and the so-called minimum mean square distance estimator, which minimizes the average natural distance between the true range space of interest and its estimate. Such approaches have shown their interests for signal subspace estimation in the small sample support and/or low signal to noise ratio contexts. As a byproduct, we also introduce a generalized version of the complex Bingham Langevin distribution in order to model the prior on the subspace orthonormal basis. Numerical simulations illustrate the performance of the proposed algorithms. Then, a practical example of Bayesian prior design is presented for the purpose of radar detection.Second, we aim to test common properties between low rank structured covariance matrices.Indeed, this hypothesis testing has been shown to be a relevant approach for change and/oranomaly detection in synthetic aperture radar images. While the term similarity usually refersto equality or proportionality, we explore the testing of shared properties in the structure oflow rank plus identity covariance matrices, which are appropriate for radar processing. Specifically,we derive generalized likelihood ratio tests to infer i) on the equality/proportionality ofthe low rank signal component of covariance matrices, and ii) on the equality of the signalsubspace component of covariance matrices. The formulation of the second test involves nontrivialoptimization problems for which we tailor ecient Majorization-Minimization algorithms.Eventually, the proposed detection methods enjoy interesting properties, that are illustrated on simulations and on an application to real data for change detection
7

May, Peter T. „VHF radar studies of the troposphere / by Peter T. May“. Thesis, 1986. http://hdl.handle.net/2440/20636.

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8

Grant, Stephen Ian. „Medium frequency radar studies of meteors“. 2003. http://thesis.library.adelaide.edu.au/public/adt-SUA20040224.152811.

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"July 2003." Includes bibliographical references (leaves 459-484) Electronic publication; full text available in PDF format; abstract in HTML format. Details the application of a medium frequency Doppler radar to observations of meteorites entering the Earth's atmosphere. Techniques were developed that verified system performance was to specification Electronic reproduction.[Australia] :Australian Digital Theses Program,2001. xx, 485 leaves : ill. ; 30 cm.

Konferenzberichte zum Thema "Radar Antennas Testing":

1

Guidi, Rodolfo, Antonio Sarri, Luca Fiori und Andreina Armogida. „An optimized radar reflector antenna pair for field testing“. In 2012 Loughborough Antennas & Propagation Conference (LAPC). IEEE, 2012. http://dx.doi.org/10.1109/lapc.2012.6403050.

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2

Iversen, P., M. Boumans und S. Burgos. „Mini compact range for automotive radar antenna testing“. In 2012 6th European Conference on Antennas and Propagation (EuCAP). IEEE, 2012. http://dx.doi.org/10.1109/eucap.2012.6206672.

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3

Kedzia, Jean-Claude, Philippe de Souza und Dominique Gruyer. „Advanced RADAR sensors modeling for driving assistance systems testing“. In 2016 10th European Conference on Antennas and Propagation (EuCAP). IEEE, 2016. http://dx.doi.org/10.1109/eucap.2016.7481398.

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4

Porter, Emily, Adam Santorelli und Milica Popovic. „Time-domain microwave radar for breast screening: Initial testing with volunteers“. In 2014 8th European Conference on Antennas and Propagation (EuCAP). IEEE, 2014. http://dx.doi.org/10.1109/eucap.2014.6901703.

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5

Peng, Gang, Tao Hong, Minghua Xue und Jinjun Tian. „New Method of Velocity Compensation in a Stepped-Frequency Testing Radar“. In 2006 7th International Symposium on Antennas, Propagation & EM Theory. IEEE, 2006. http://dx.doi.org/10.1109/isape.2006.353264.

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6

Salazar-Cerreno, Jorge L., Syed S. Jehangir, Antony Segales, Nafati Aboserwal und Zeeshan Qamar. „An Ultrawideband UAV-Based Metrology Platform for In-situ EM Testing of Antennas, Radars, and Communication Systems“. In 2022 IEEE Radar Conference (RadarConf22). IEEE, 2022. http://dx.doi.org/10.1109/radarconf2248738.2022.9764263.

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7

Chong, Aaron A., Christopher J. Leat und Glen F. Stickley. „Gain, impedance measurements, and dielectric loading of ground penetrating radar (GPR) antennas using a watertank testing facility“. In 8th International Conference on Ground Penetrating Radar, herausgegeben von David A. Noon, Glen F. Stickley und Dennis Longstaff. SPIE, 2000. http://dx.doi.org/10.1117/12.383545.

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8

Younp-Jin Park, Sung-Bae Cho, Kwan-Ho Kim und Dong-Gi Youn. „Development of an ultra wideband ground penetrating radar (UWB GPR) for nondestructive testing of underground objects“. In IEEE Antennas and Propagation Society Symposium, 2004. IEEE, 2004. http://dx.doi.org/10.1109/aps.2004.1330418.

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9

Rocha, Carlos Junio, Renato Ribeiro, Pedro Miguel Cruz und Paula Viana. „Automatized Solution for Over-the-Air (OTA) Testing and Validation of Automotive Radar Sensors“. In 2019 IEEE-APS Topical Conference on Antennas and Propagation in Wireless Communications (APWC). IEEE, 2019. http://dx.doi.org/10.1109/apwc.2019.8870448.

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10

Donovan, William, David Mueller, Erik Runge und W. Liu. „Structural Design, Analysis, and Testing of Vivaldi Ground Penetrating Radar Antennas for the Meridian UAS“. In 49th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference
16th AIAA/ASME/AHS Adaptive Structures Conference
10t. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2008. http://dx.doi.org/10.2514/6.2008-1832.

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