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Статті в журналах з теми "Radar in Banda X"
Gama, Fábio Furlan, José Claudio Mura, Paulo César Gurgel De Albuquerque, and João Roberto Dos Santos. "Avaliação do potencial da interferometria sar para o mapeamento altimétrico de áreas reflorestadas por eucalyptus sp." Boletim de Ciências Geodésicas 16, no. 4 (December 2010): 519–37. http://dx.doi.org/10.1590/s1982-21702010000400003.
Повний текст джерелаLarrañaga, J. R., R. De Porras, J. Del Castillo, N. Gimeno, P. Aguilar, A. M. Baquero, N. Casal, et al. "RBX: El nuevo radar SAR en banda X del INTA." Revista de Teledetección, no. 41 (June 6, 2014): 89. http://dx.doi.org/10.4995/raet.2014.2285.
Повний текст джерелаYoon, Sung-Hyun. "3-Port Circulator for X-Band Radar." Journal of Korean Institute of Communications and Information Sciences 40, no. 2 (February 28, 2015): 355–62. http://dx.doi.org/10.7840/kics.2015.40.2.355.
Повний текст джерелаAzevedo, Adriana Rodrigues de, João Roberto dos Santos, Fábio Furlan Gama, Paulo Maurício Lima de Alencastro Graça, and José Cláudio Mura. "Caracterização de uso e cobertura da terra na Amazônia utilizando imagens duais multitemporais do COSMO-SkyMed." Acta Amazonica 44, no. 1 (2014): 87–97. http://dx.doi.org/10.1590/s0044-59672014000100009.
Повний текст джерелаSalgado, Héctor, Stella Maris Zabala, Catalina Romay, Monique Bernier, Andres Jacome, and Karem Chokmani. "ESTIMACIÓN DE LA HUMEDAD SUPERFICIAL DEL SUELO MEDIANTE DATOS SAR EN BANDA X." Meteorologica 46, no. 1 (June 1, 2021): e001-e001. http://dx.doi.org/10.24215/1850468xe001.
Повний текст джерелаJeong, Sun-Hwa, and Hee-Yong Hwang. "Design of X-Band SOM for Doppler Radar." Journal of Korean Institute of Electromagnetic Engineering and Science 24, no. 12 (December 31, 2013): 1167–72. http://dx.doi.org/10.5515/kjkiees.2013.24.12.1167.
Повний текст джерелаKim, Jeong-Yeon, Kil-To Chong, and Tae-Yeong Kim. "X-Band FMCW RADAR Signal Processing for small ship." Journal of the Korea Academia-Industrial cooperation Society 10, no. 11 (November 30, 2009): 3121–29. http://dx.doi.org/10.5762/kais.2009.10.11.3121.
Повний текст джерелаAl-Sakka, Hassan, Alain Weill, Christophe Le Gac, Richard Ney, Laurent Chardenal, Jean Vinson, Laurent Paul Barthès, and Eric Dupont. "CURIE: a low power X-band, low atmospheric Boundary Layer Doppler radar." Meteorologische Zeitschrift 18, no. 3 (June 1, 2009): 267–76. http://dx.doi.org/10.1127/0941-2948/2009/0377.
Повний текст джерелаUSHIYAMA, Tomoki, Atsuhiro YOROZUYA, and Kazuhiko FUKAMI. "QPE BY COMBINED USE OF X-BAND MP RADAR AND CONVENTIONAL C-BAND RADAR FOR SEAMLESS RAINFALL DISTRIBUTION." Journal of Japan Society of Civil Engineers, Ser. B1 (Hydraulic Engineering) 68, no. 4 (2012): I_349—I_354. http://dx.doi.org/10.2208/jscejhe.68.i_349.
Повний текст джерелаYu, Lei, Weiwen Zou, Xinwan Li, and Jianping Chen. "An X- and Ku-band multifunctional radar receiver based on photonic parametric sampling." Chinese Optics Letters 18, no. 4 (2020): 042501. http://dx.doi.org/10.3788/col202018.042501.
Повний текст джерелаДисертації з теми "Radar in Banda X"
Ramirez, Yusvelis Maribel Barzaga. "Inferência de hidrometeoros a partir de um radar meteorológico de dupla polarização banda X." Universidade de São Paulo, 2018. http://www.teses.usp.br/teses/disponiveis/14/14133/tde-12092018-143854/.
Повний текст джерелаThis study presents a methodology for inferring hydrometeors from polarimetric mea- surements of a X band double polarization meteorological radar. The methodology consists of a theoretical approach based on numerical simulations with a Mie scattering model (T-Matrix and Mueller) and an experimental approach based on the application of a classification algorithm of hydrometeors (Dolan and Rutledge [2009]). The theoretical simulations were used to study the effects of droplet size distribution, hydrometeor tem- perature, elevation angle and mixture of hydrometeors from radar reflectivity factor (Z), differential reflectivity (Z DR ), specific differential phase (K DP ) and correlation coefficient ( HV ). The values of Z DR are 0.5 dBZ higher for the X band frequency than for the S band frequency. From Z greater than 45 dBZ, K DP starts to get higher than 0. When Z is greater than 25 dBZ, HV starts to decrease. No significant variations are observed for the graupel, however for hail, K DP is greater than 0 when Z is greater than 15 dBZ, but these values were much lower than for water. Temperature effects are only noticed when Z is greater than 60 dBZ. When analyzing the effect of elevation, it is observed that Z DR decreases with increasing elevation, being more sensitive to Z larger; the same effect is observed for K DP and HV . These variations are more sensitive to water and hail than to the graupel. Comparing the exponential and gamma distributions to consider the effects of droplet size distribution in the case of rain, it is noted that the exponential distribution is larger than the gamma when the droplets increase in size and decrease in concentration, due to the fact that in the simulation was used N 0 fixed. When analyzing the effects of co-existence of water and graupel, we have that the water droplets dominate the Z signal when Z is greater than 30 dBZ, K DP will be positive (negative) when Z is greater (lower) than 35 dBZ of water, since Z of the graupel is less than 10 dBZ and HV tends to be close to 1 when more graupel is observed. For the mixture of hail and water, Z of water dominates that of hail when Z is greater than 45 dBZ, K DP is larger (smaller) than zero when Z is larger (smaller) than 25 dBZ since Z of hail is less than 10 dBZ and Z DR of water (hail) dominates hail (water) when Z is greater (lower) than 45 dBZ. In the experimental part, two cases observed during the field experiment of the RAIN Project in Vale do Paraíba on February 8 and March 22, 2012 were used. The classification of hydrometeors according to Dolan and Rutledge [2009] indicated the presence of rain near the surface coming of graupel and hail. Above 5 km were identified the presence of graupel, hail and ice crystals. When examining the regions classified as hail and graupel within the region of 0 and 15 C with the theoretical results, it is possible to explain the concomitant presence of water and hail and water and graupel in these regions.
Ferreira, José Everardo Julião. "Desenvolvimento, análise numérica e estudo experimental de metamateriais na banda X." Instituto Tecnológico de Aeronáutica, 2009. http://www.bd.bibl.ita.br/tde_busca/arquivo.php?codArquivo=938.
Повний текст джерелаMohan, Abishek. "Bistatic Radar Land Clutter Characterization at X-band." The Ohio State University, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=osu1440174330.
Повний текст джерелаBEZERRA, Cristiane Santos. "Clima de ondas e correntes no litoral de boa viagem (recife – pe): aplicação do sistema de radar náutico de banda-x." Universidade Federal de Pernambuco, 2013. https://repositorio.ufpe.br/handle/123456789/10557.
Повний текст джерелаMade available in DSpace on 2015-03-05T12:03:40Z (GMT). No. of bitstreams: 2 Dissertação BEZERRA,C. S. 2013.pdf: 7476726 bytes, checksum: 97af6d034dd0d2747df21f2cfd5e7912 (MD5) license_rdf: 1232 bytes, checksum: 66e71c371cc565284e70f40736c94386 (MD5) Previous issue date: 2013
CNPq
As ondas e correntes representam a mais constante forma de transporte de energia no mar, fornecendo energia para uma vasta gama de processos litorâneos os quais exercem papel preponderante na morfologia da linha de costa e, por conseguinte na determinação das feições litorâneas. Além disso, representam ameaça às construções costeiras, às atividades de lazer e às operações navais. Diante deste cenário a presente dissertação de mestrado pretende contribuir através da análise temporal e espacial das ondas wind sea e swell, assim como das correntes atuantes no litoral de Boa Viagem (Recife – PE), a partir de dados de parâmetros físicos de ondas (altura máxima – Hmax, altura significativa – Hs, Período de pico – Tp, e direção média – ) e correntes (direção e intensidade), os quais foram obtidos a partir de imagens polares de radar náutico de banda-X, gerados a partir de um sistema denominado Wave and Surface Current Monitoring System - WaMoS II. O radar esteve em funcionamento entre o mês de abril de 2010 a abril de 2011. A partir das análises realizadas foi possível observar a ocorrência conjunta de ondas do tipo wind sea e swell no litoral de Boa Viagem, sendo que esta última foi bastante expressiva nos meses de junho e outubro de 2010, além dos meses entre dezembro de 2010 a março de 2011, sendo provenientes em sua maioria de leste. As ondas wind sea apresentaram uma altura significativa predominante entre 1 e 2 m, sendo provenientes de leste-sudeste. Além disso, foi possível observar uma variação na direção e diminuição na altura das ondas ao longo da plataforma interna de Boa Viagem, causadas pela variação na batimetria e pela presença de recifes de arenito. Para as correntes não se observou diferença na direção das mesmas nas duas áreas de análise, porém no que se refere a intensidade, esta foi maior na área mais afastada da costa (área 3) do que na área sobre o canal (área 1). De uma forma geral, neste trabalho foi possível identificar as características predominantes, em cada mês ao longo de todo período estudado, das ondas wind sea, as quais estão sempre presente no litoral de Boa Viagem, bem como as características de swell identificando seu período de maior atuação neste litoral; foi possível verificar como as características das ondas estão se alterando conforme se aproximam da costa; e também observar o padrão das correntes atuantes no litoral; e a altura máxima das ondas que incidem sobre a região. E diante de comparações com boia e modelo, foi possível comprovar a eficiência da medição de ondas a partir de radar e do sistema WaMoS II para o litoral de Boa Viagem (Recife – PE).
Ichiba, Abdellah. "Données radar bande X et gestion prédictive en hydrologie urbaine." Thesis, Paris Est, 2016. http://www.theses.fr/2016PESC1007/document.
Повний текст джерелаThe main goal of this thesis was to achieve a reliable management tool of storm water storage basins using high resolution X-band radar. It turned out that it required several research developments. The analysed case study includes a retention basin of 10000 m3 located in Val de Marne county downstream of a 2.15 km2 urban catchment. It has a twofold goal: storm water decontamination and flood protection by volume storage. Operationally the management strategies associated with these two aims are conflicting; hence, a predictive management has been set up: a routine exploitation of the basin in the anti-pollution mode, and a switch to the flood protection mode when needed. It should be based a reliable knowledge of short-term rainfall forecasts. A common way to respond to operational needs of the predictive management is to set up a warning system based on the use of radar data. For example, the CALAMAR system relies on the use of single-polarization raw radar data, coming from Meteo-France radar network, being processed with the conventional Z-R conversion methods followed by a calibration with rain gauge. However, the reliability of such warning systems has been subject to debate, often due to a questionable quality of the resulting radar rainfall estimates, compared to local rain gauges. Therefore a new methodology for more meaningful comparison of radar rainfall field products was developed during this PhD project. Being rooted to the multifractal theory, it allows a comparison of the structure and the morphology of rainfall fields in both space and time through scales. It was initially tested on CALAMAR and Meteo-France rainfall products before being applied for results confirmation on initial data from a X band radar, acquired by Ecole des Ponts ParisTech in the framework of the European project RainGain and providing data at higher resolution (up to 100 m in space and 1 min in time). The obtained results not only highlight the crucial influence of raw data processing on the scaling behaviour, but also permit to pre-define the conditions when the CALAMAR optimization may worsen the quality of rainfall estimates. Such conditions would be very difficult to detect with widely used conventional methods, which rely on a very limited number of radar pixels (only those containing rain gauges). Further extensions of the proposed methodology open new horizons for the rainfall data merging. While the scientific literature, notably around the TOMACS experiment in Japan and CASA one in the United States, highlights the operational benefits of higher resolution rainfall measurements thanks to X-band radars, its impact on the performance of hydrological models still remains a subject of debate. Indeed previous research, mainly based on conceptual models remains inconclusive. To overcome these limitations, we used two models relying on two very distinct modelling approaches: CANOE (semi-distributed and conceptual) and Multi-Hydro (fully distributed and physically based research model developed at ENPC). An operational version of CANOE and a new much finer configuration, which increases the sensitivity of the model to spatio-temporal variability of small-scale rainfall, were used. Several extensions of the Multi-Hydro were developed, including an optimization of its resolution, which greatly improves its whole functionality. It appears from this work that by taking into account the spatial and temporal variability of small-scale rainfall, the performance of hydrologic models can be increased up to 20%.Overall, we believe that this dissertation contributes to the development of new, reliable, operational tools to use in their full extent the high-resolution X-band data
Dufton, David Richard Lloyd. "Quantifying uncertainty in radar rainfall estimates using an X-band dual polarisation weather radar." Thesis, University of Leeds, 2016. http://etheses.whiterose.ac.uk/15486/.
Повний текст джерелаMohungoo, Ajmal Ismail. "An airborne X-band synthetic aperture radar receiver design and implementation." Master's thesis, University of Cape Town, 2004. http://hdl.handle.net/11427/17438.
Повний текст джерелаThis dissertation focuses on the design and implementation of an X-band receiver for use in the South African Synthetic Aperture Radar (SASAR II) project. The SAR will be used to demonstrate the capability of building a high resolution X-hand imaging radar in South Africa. The design starts by investigating the maximum power return from different targets over a swath width with changing incidence angles. A receiver-power-level table and diagram were constructed, with the power return from at trihedral corner reflector as maximum input power and thermal noise as the minimum input power to the receiver. The output of the receiver, which has to be fed to the input of an analogue-to-digital converter (ADC), is limited by the ADC's maximum operating input power. Amplifiers, attenuators and mixers were chosen to implement a dual-stage downconversion from a radio frequency (RF) of 9300 MHZ to a 2nd IF of 1300 MHZ and then to a 1st IF of 158 MHz. A sensitivity time control (STC) is implemented in the receiver to cater for the limited dynamic range of the ADC. The power return varies with range and hence, time. Thus, an STC will correct for low return power, at far range, by boosting the received signal and attenuating large return power, at close range, ideally providing a fairly constant power return at the receiver output. A manual gain control (MGC) is also needed in the receiver, such that none of the components are driven into saturation. The gain control is switched on when large targets are expected to fall in the swath width, otherwise it is switched to a minimum for targets with tow backscattered power. The tests that were carried out on the receiver components showed that all the components operated very close to their specifications. The cascaded filters work well in tailoring the front-end 3-dB bandwidth to close to the required 3-dB bandwidth. The receiver was designed to have enough gain to boost the maximum power received to within the operating range of the ADC, without saturating any components in the receiver. The noise figure test showed a noise figure of 4.20 dB. This is 1.73 dB higher than the calculated noise figure of 2.47 dB which is a result of an underestimation of the losses in the system.
Moes, Henderikus Jan. "A low noise PLL-based frequency synthesiser for X-band radar." Thesis, Link to the online version, 2008. http://hdl.handle.net/10019/1337.
Повний текст джерелаKabeche, Fadela. "Développement d'une méthode de détection de la turbulence atmosphérique par radar aéroporté en bande X." Versailles-St Quentin en Yvelines, 2009. http://www.theses.fr/2009VERS0049.
Повний текст джерелаWe focus on this thesis on the definition, development and evaluation of a method that we call DTCOR (Detection of Convective Turbulence by Radar). This method detects in real time the turbulent structures whose sizes are between 300m and 3km, using an airborne X-band Doppler radar. This work is realized in the frame of an industrial project whose goal is the development of a new concept of radar that would be implemented on the airliners. The technique is based on a variational formalism with physical constraints in order to obtain the wind field and its derivatives. This method is evaluated on two sets of data (radial velocities and reflectivities), the first one synthesized from analytical form representing the main features of these turbulent structures (wavelength and amplitude) and the second on real data from a campaign of airborne observations
Domaszczynski, Piotr. "Performance evaluation of a network of polarimetric X-Band radars used for rainfall estimation." Diss., University of Iowa, 2012. https://ir.uiowa.edu/etd/3286.
Повний текст джерелаКниги з теми "Radar in Banda X"
Estefanía, M. L. La banda X. Miami, Fla: Brains Co., 2002.
Знайти повний текст джерелаMartner, Brooks E. NOAA X-band radar measurements in 3CPO. Boulder, Colo: United States Dept. of Commerce, National Oceanic and Atmospheric Administration, Environmental Research Laboratories, Wave Propagation Laboratory, 1988.
Знайти повний текст джерелаMartner, Brooks E. NOAA X-band radar measurements in 3CPO. Boulder, Colo: United States Department of Commerce, National Oceanic and Atmospheric Administration, Environmental Research Laboratories, Wave Propagation Laboratory, 1988.
Знайти повний текст джерелаShelby, Frisch, Kropfli Robert A, and Wave Propagation Laboratory, eds. NOAA X-band radar measurements in 3CPO. Boulder, Colo: United States Department of Commerce, National Oceanic and Atmospheric Administration, Environmental Research Laboratories, Wave Propagation Laboratory, 1988.
Знайти повний текст джерелаMartner, Brooks E. NOAA X-band radar measurements in 3CPO. Boulder, Colo: United States Dept. of Commerce, National Oceanic and Atmospheric Administration, Environmental Research Laboratories, Wave Propagation Laboratory, 1988.
Знайти повний текст джерелаH, Öttl, ed. The X-SAR science plan. Köln: Wissenschaftliches Berichtswesen der DFVLR, 1985.
Знайти повний текст джерелаL, Evans Diane, Plaut Jeffrey J, and Jet Propulsion Laboratory (U.S.), eds. Science results from the spaceborne imaging radar-C/X-band synthetic aperture radar (SIR-C/X-SAR): Progress report. Pasadena, Calif: National Aeronautics and Space Administration, Jet Propulsion Laboratory, California Institute of Technology, 1996.
Знайти повний текст джерелаW, Kamerman Gary, Society of Photo-optical Instrumentation Engineers., and Ball Aerospace & Technologies Corporation (USA), eds. Laser radar technology and applications X: 30 March-1 April, 2005, Orlando, Florida, USA. Bellingham, Wash: SPIE, 2005.
Знайти повний текст джерелаG, Zelnio Edmund, Garber Frederick D, and Society of Photo-optical Instrumentation Engineers., eds. Algorithms for synthetic aperture radar imagery X: 21-23 April, 2003, Orlando, Florida, USA. Bellingham, Wash: SPIE, 2003.
Знайти повний текст джерела1944-, Trebits R. N., and Kurtz J. L. 1945-, eds. Radar sensor technology X: 20-21 April, 2006, Kissimmee, Florida, USA. Bellingham, Wash: SPIE, 2006.
Знайти повний текст джерелаЧастини книг з теми "Radar in Banda X"
Hasan, G. M. Jahid, and Satoshi Takewaka. "Foreshore Applications of X-band Radar." In Remote Sensing and Modeling, 161–91. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-06326-3_7.
Повний текст джерелаMori, Saverio, Frank S. Marzano, and Nazzareno Pierdicca. "X-Band Synthetic Aperture Radar Methods." In Advances in Global Change Research, 315–39. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-24568-9_18.
Повний текст джерелаWeinberg, Graham V. "3 Distributions for X-Band Maritime Surveillance Radar Clutter." In Radar Detection Theory of Sliding Window Processes, 51–74. Boca Raton : Taylor & Francis, CRC Press, [2017] | “A science publishers book.”|Includes bibliographical references and index.|: CRC Press, 2017. http://dx.doi.org/10.1201/9781315154015-3.
Повний текст джерелаCostanzo, Sandra, Giuseppe Di Massa, and Marco Salzano. "X-band Radar Sensor for the Landslide Risk Mitigation." In Advances in Intelligent Systems and Computing, 981–87. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-36981-0_92.
Повний текст джерелаArakelian, A. K. "X-Band Radar-Radiometer Images of a Sea Surface." In Microwave Physics and Techniques, 413–18. Dordrecht: Springer Netherlands, 1997. http://dx.doi.org/10.1007/978-94-011-5540-3_42.
Повний текст джерелаWolff, Ulrike, Jörg Seemann, Christian M. Senet, and Friedwart Ziemer. "Analysis of Morphodynamical Processes with a Nautical X-Band Radar." In Informatik aktuell, 372–80. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/978-3-642-60243-6_43.
Повний текст джерелаSheen, D. R., E. S. Kasischke, R. A. Shuchman, and R. G. Onstott. "Polarimetric Calibration and Remote Sensing Applications Using an X-C-L-Band SAR." In Direct and Inverse Methods in Radar Polarimetry, 877–98. Dordrecht: Springer Netherlands, 1992. http://dx.doi.org/10.1007/978-94-010-9243-2_35.
Повний текст джерелаStefigraf, I., and S. Rajaram. "Layout Design of X-Band Low Noise Amplifier for Radar Applications." In Communications in Computer and Information Science, 140–56. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-5950-7_13.
Повний текст джерелаMcLaughlin, David, Nicholas Allan, and Elizabeth Twarog. "Coherent Sea Clutter Signatures Observed with A High-Resolution X-Band Radar." In Ultra-Wideband, Short-Pulse Electromagnetics 2, 141–48. Boston, MA: Springer US, 1995. http://dx.doi.org/10.1007/978-1-4899-1394-4_16.
Повний текст джерелаNagasree, Puppala Siva, Koona Ramji, Killi Krushna Murthy, Mantri Kannam Naidu, and Tammareddy Haritha. "Fibre Reinforced Polymer (FRP) Nanocomposites for Radar Absorption Application in the X-Band." In Lecture Notes in Mechanical Engineering, 409–18. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-1124-0_35.
Повний текст джерелаТези доповідей конференцій з теми "Radar in Banda X"
Feldle, H. P. "Transmit/receive modules for X-band airborne radar." In Radar Systems (RADAR 97). IEE, 1997. http://dx.doi.org/10.1049/cp:19971703.
Повний текст джерелаTorvik, Borge, Karl Erik Olsen, and Hugh D. Griffiths. "X-band measurements of radar signatures of large sea birds." In 2014 International Radar Conference (Radar). IEEE, 2014. http://dx.doi.org/10.1109/radar.2014.7060266.
Повний текст джерелаDrake, Peter R., Jacqueline Bourgeois, Anthony P. Hopf, Francis Lok, and David McLaughlin. "Dual-polarization X-band phased array weather radar: Technology update." In 2014 International Radar Conference (Radar). IEEE, 2014. http://dx.doi.org/10.1109/radar.2014.7060423.
Повний текст джерелаXu, Yong, Dejun Feng, Junjie Wang, and Chenxiao Wang. "An X-band and Ku-band adjustable polarization insensitive AFSS reflector." In 2021 CIE International Conference on Radar (Radar). IEEE, 2021. http://dx.doi.org/10.1109/radar53847.2021.10028224.
Повний текст джерелаRosenberg, Luke, and Nick J. Stacy. "Analysis of medium grazing angle X-band sea-clutter Doppler spectra." In 2008 IEEE Radar Conference (RADAR). IEEE, 2008. http://dx.doi.org/10.1109/radar.2008.4721061.
Повний текст джерелаPalama, Riccardo, Francesco Fioranelli, Matthew Ritchie, M. R. Inggs, Simon Lewis, and Hugh Griffiths. "Measurements of Multistatic X&L Band Radar Signatures of UAVS." In 2019 International Radar Conference (RADAR). IEEE, 2019. http://dx.doi.org/10.1109/radar41533.2019.171389.
Повний текст джерелаCrisp, David J., Ross Kyprianou, Luke Rosenberg, and Nick J. S. Stacy. "Modelling X-band sea clutter at moderate grazing angles." In 2008 International Conference on Radar (Radar 2008). IEEE, 2008. http://dx.doi.org/10.1109/radar.2008.4653988.
Повний текст джерелаKohler, Michael, Vichet Duk, Matthias Weiss, Wojciech Brodowski, Josef Worms, Daniel O'Hagan, and Oliver Bringmann. "A Multifunctional Broadband Receiver for Bistatic X-Band Radar Measurements." In 2020 IEEE International Radar Conference (RADAR). IEEE, 2020. http://dx.doi.org/10.1109/radar42522.2020.9114623.
Повний текст джерелаDamini, Anthony, Mike McDonald, and Vince Mantle. "Image-while-scan results from the X-band Wideband Experimental Airborne Radar." In 2008 IEEE Radar Conference (RADAR). IEEE, 2008. http://dx.doi.org/10.1109/radar.2008.4721020.
Повний текст джерелаZhou Jun, Wenbin Dou, and Shen Ya. "X-band core T/R module with LTCC technology." In 2011 IEEE CIE International Conference on Radar (Radar). IEEE, 2011. http://dx.doi.org/10.1109/cie-radar.2011.6159689.
Повний текст джерелаЗвіти організацій з теми "Radar in Banda X"
Widener, K., and N. Bharadwaj. X-band Scanning ARM Precipitation Radar (X-SAPR) Instrument Handbook. Office of Scientific and Technical Information (OSTI), October 2012. http://dx.doi.org/10.2172/1053990.
Повний текст джерелаSander, Grant J., and Douglas Lloyd Bickel. Antarctica X-band MiniSAR crevasse detection radar : final report. Office of Scientific and Technical Information (OSTI), September 2007. http://dx.doi.org/10.2172/920457.
Повний текст джерелаPrevisic, Mirko. Final Summary Report Wave Prediction using X-Band Radar. Office of Scientific and Technical Information (OSTI), May 2022. http://dx.doi.org/10.2172/1867805.
Повний текст джерелаSander, Grant J., and Douglas Lloyd Bickel. Antarctica X-band MiniSAR Crevasse Detection Radar : draft final report. Office of Scientific and Technical Information (OSTI), August 2010. http://dx.doi.org/10.2172/993311.
Повний текст джерелаHackett, Erin E., Anne M. Fullerton, Craig F. Merrill, and Thomas C. Fu. Wave Field Characterization Using Dual-Polarized Pulse-Doppler X-Band Radar. Fort Belvoir, VA: Defense Technical Information Center, June 2012. http://dx.doi.org/10.21236/ada564044.
Повний текст джерелаPlant, William J. Shipboard Survey Near the Philippines with a Coherent X-Band Radar. Fort Belvoir, VA: Defense Technical Information Center, February 2008. http://dx.doi.org/10.21236/ada477419.
Повний текст джерелаNwogu, Okey G., and Paul S. Bell. Determination of Nearshore Wave Conditions and Bathymetry from X-Band Radar Systems. Fort Belvoir, VA: Defense Technical Information Center, September 2004. http://dx.doi.org/10.21236/ada613880.
Повний текст джерелаPlant, William J. A Shipboard Survey near the Philippines with a Coherent X-band Radar. Fort Belvoir, VA: Defense Technical Information Center, September 2007. http://dx.doi.org/10.21236/ada573293.
Повний текст джерелаHasley, David. Sea-Based X-Band (SBX) Radar Vessel Maintenance and Repair. Draft Environmental Assessment. Fort Belvoir, VA: Defense Technical Information Center, February 2011. http://dx.doi.org/10.21236/ada539383.
Повний текст джерелаBillingsley, J. B., and John F. Larrabee. Measured Spectral Extent of L- and X-Band Radar Reflections from Wind- Blown Trees. Fort Belvoir, VA: Defense Technical Information Center, February 1987. http://dx.doi.org/10.21236/ada179942.
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