Letteratura scientifica selezionata sul tema "Radar in aeronautics"
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Articoli di riviste sul tema "Radar in aeronautics"
Marks, David A., David B. Wolff, Lawrence D. Carey e Ali Tokay. "Quality Control and Calibration of the Dual-Polarization Radar at Kwajalein, RMI". Journal of Atmospheric and Oceanic Technology 28, n. 2 (1 febbraio 2011): 181–96. http://dx.doi.org/10.1175/2010jtecha1462.1.
Testo completoWang, Lei, Ming Wei, Tao Yang e Ping Liu. "Effects of Atmospheric Refraction on an Airborne Weather Radar Detection and Correction Method". Advances in Meteorology 2015 (2015): 1–8. http://dx.doi.org/10.1155/2015/407867.
Testo completoMatthee, Retha, John R. Mecikalski, Lawrence D. Carey e Phillip M. Bitzer. "Quantitative Differences between Lightning and Nonlightning Convective Rainfall Events as Observed with Polarimetric Radar and MSG Satellite Data". Monthly Weather Review 142, n. 10 (19 settembre 2014): 3651–65. http://dx.doi.org/10.1175/mwr-d-14-00047.1.
Testo completoTokay, Ali, Leo Pio D’Adderio, David A. Marks, Jason L. Pippitt, David B. Wolff e Walter A. Petersen. "Comparison of Raindrop Size Distribution between NASA’s S-Band Polarimetric Radar and Two-Dimensional Video Disdrometers". Journal of Applied Meteorology and Climatology 59, n. 3 (marzo 2020): 517–33. http://dx.doi.org/10.1175/jamc-d-18-0339.1.
Testo completoD’Adderio, Leo Pio, Gianfranco Vulpiani, Federico Porcù, Ali Tokay e Robert Meneghini. "Comparison of GPM Core Observatory and Ground-Based Radar Retrieval of Mass-Weighted Mean Raindrop Diameter at Midlatitude". Journal of Hydrometeorology 19, n. 10 (1 ottobre 2018): 1583–98. http://dx.doi.org/10.1175/jhm-d-18-0002.1.
Testo completoYin, Mengtao, e Cheng Yuan. "Exploring the Environmental Conditions of Snow Particles Using Spaceborne Triple-Frequency Radar Measurements over Ocean". Remote Sensing 14, n. 21 (1 novembre 2022): 5512. http://dx.doi.org/10.3390/rs14215512.
Testo completoWijesundara, Shanka N., e Joel T. Johnson. "Physics-Based Forward Modeling of Ocean Surface Swell Effects on SMAP L1-C NRCS Observations". Sensors 22, n. 2 (17 gennaio 2022): 699. http://dx.doi.org/10.3390/s22020699.
Testo completoLiao, Liang, Robert Meneghini, Toshio Iguchi e Ali Tokay. "Characteristics of DSD Bulk Parameters: Implication for Radar Rain Retrieval". Atmosphere 11, n. 6 (25 giugno 2020): 670. http://dx.doi.org/10.3390/atmos11060670.
Testo completoOwerko, Tomasz, Przemysław Kuras e Łukasz Ortyl. "Atmospheric Correction Thresholds for Ground-Based Radar Interferometry Deformation Monitoring Estimated Using Time Series Analyses". Remote Sensing 12, n. 14 (12 luglio 2020): 2236. http://dx.doi.org/10.3390/rs12142236.
Testo completoAdirosi, Elisa, Luca Baldini e Ali Tokay. "Rainfall and DSD Parameters Comparison between Micro Rain Radar, Two-Dimensional Video and Parsivel2 Disdrometers, and S-Band Dual-Polarization Radar". Journal of Atmospheric and Oceanic Technology 37, n. 4 (aprile 2020): 621–40. http://dx.doi.org/10.1175/jtech-d-19-0085.1.
Testo completoTesi sul tema "Radar in aeronautics"
Miller, Samuel(Samuel John). "Object tracking in mmWave radar networks". Thesis, Massachusetts Institute of Technology, 2020. https://hdl.handle.net/1721.1/127079.
Testo completoCataloged from the official PDF of thesis.
Includes bibliographical references (pages 71-87).
Location-aware devices enable new services such as localization and tracking of objects within existing wireless communication networks like cellular mobile, Wi-Fi, and radio. To ensure these services are also available in the evolving millimeter wave (mmWave) communication infrastructure, it is important to develop algorithms that enable mmWave devices, like radars and 5G nodes, to localize and track objects. The main challenges that these algorithms must address is localizing objects that are not carrying sensing equipment, synchronizing devices exclusively via the mmWave band, and solving a data association uncertainty problem to reliably track objects of interest. Our development of the Multistatic Networking with mmWave Radar Arrays for Positioning (MiNiMAP) system solved these challenges by implementing mmWave processing in a multistatic network, scheduling, and radar synchronization algorithms. Through the use of these three algorithms in addition to Bayesian filtering, MiNiMAP is capable of tracking a single object with a network of mmWave radars. Indoor localization experiments validate MiNiMAP's overall system performance and the impact of each algorithm.
by Samuel Miller.
S.M.
S.M. Massachusetts Institute of Technology, Department of Aeronautics and Astronautics
Reynolds, Obie D. "Life cycle analysis of a radar system". Master's thesis, This resource online, 1993. http://scholar.lib.vt.edu/theses/available/etd-12232009-020224/.
Testo completoMarais, Karen 1973. "The development and analysis of Scanned Pattern Interferometric Radar". Thesis, Massachusetts Institute of Technology, 2001. http://hdl.handle.net/1721.1/82229.
Testo completoAqui, Paula S. (Paula Simone). "Meteorological effects on the accuracy of the measurement of radar cross sections". Thesis, Massachusetts Institute of Technology, 1991. http://hdl.handle.net/1721.1/43127.
Testo completoBerisset, Philippe. "Simulation of millimeter wave radar return from a three dimensional environmental scene". Thesis, Massachusetts Institute of Technology, 1993. http://hdl.handle.net/1721.1/49905.
Testo completoHacker, Troy L. (Troy LeRoy) 1976. "Performance analysis of a space-based GMTI radar system using separated spacecraft interferometry". Thesis, Massachusetts Institute of Technology, 2000. http://hdl.handle.net/1721.1/9088.
Testo completoIncludes bibliographical references (p. 153-156).
The development of a model to assess the radar performance capabilities of a sparse aperture space-based GMTI radar system is presented. Airborne radars have provided reliable detection of moving targets for many years. Recent technological advancements have allowed the deployment of radar systems in space to improve global coverage. Additional radar performance benefits from space-based platforms are made possible with clusters of collaborative microsatellites. Using quantitative capability metrics, specifically the probability of detection and the minimum detectable velocity, the performance of the radar system can be modeled to enable effective and unbiased comparison of candidate system architectures. A design study based on the space-based GMTI radar reference mission for the Air Force's TechSat 21 program was conducted to identify viable system design configurations that satisfy specific radar performance requirements. A comprehensive analysis of the cost, reliability, and performance considerations for the complete TechSat 21 system is proposed.
by Troy L. Hacker.
S.M.
Wickert, Douglas P. (Douglas Paul). "Space based radar--system architecture design and optimization for a space-based replacement to AWACS". Thesis, Massachusetts Institute of Technology, 1997. http://hdl.handle.net/1721.1/10513.
Testo completoReid, David Charles. "Improved aircraft flight parameter estimation based on passive acoustic techniques using time-frequency methods". Thesis, Queensland University of Technology, 1997.
Cerca il testo completoDavis, Bradley A. "A clutter power computation procedure for airborne Doppler radar". Thesis, Virginia Polytechnic Institute and State University, 1988. http://hdl.handle.net/10919/53722.
Testo completoMaster of Science
Volpe, Kyle Clarke. "Application of the backward-smoothing extended Kalman filter to attitude estimation and prediction using radar observations". Thesis, Massachusetts Institute of Technology, 2009. http://hdl.handle.net/1721.1/51646.
Testo completoIncludes bibliographical references (p. 317-322).
The Lincoln Attitude Estimation System (LAES), a new tool being developed for the Space Situational Awareness Group (SSAG) at MIT Lincoln Laboratory, integrates several existing hardware and software systems, with a backward-smoothing extended Kalman filter (BSEKF). LAES is intended to determine the rotational motion of a freely tumbling spacecraft from a sequence of discrete-time radar images. The raw range-Doppler returns are collected using a ground-based sensor, which is owned and operated by the SSAG, and processed into a set of range/cross-range images. A three-dimensional geometric model is, through computer graphics procedures, displayed on top of the two-dimensional radar images, enabling an analyst to rotate (and scale in cross-range) the model in order to align it to the object's image. Therefore, the orthographic projection matrix that the computer graphics procedures computed to display the computer model, simultaneously describes the projection of the object onto the radar image plane. These measurements are essentially corrections to a nominal or baseline motion which had to be assumed in order to generate the images in the first place. Combining the reference motion, which describes the orientation of the image plane in inertial space, with the sequence of rotations describing the attitude of the spacecraft within the image plane, yields the final set of attitude measurements which are then passed to the BSEKF for processing.
(cont.) The existing free motion software currently in use within the Space Situational Awareness Group makes two critical assumptions: 1) that that the spacecraft is a symmetric rigid body and 2) that there are no disturbance torques acting on the spacecraft during the imaging period. The Lincoln Attitude Estimation System removes these simplifying assumptions in favor of a more flexible approach which is better suited for long-term studies of rigid body motion. Accordingly, several additions have been made to the backward-smoothing extended Kalman filter, including the addition of environmental torque models and an algorithm which generates an initial estimate for the inertia tensor using the same geometric model used in the image-model matching process. The BSEKF solves a nonlinear smoothing problem for the current and past sample intervals using iterative numerical techniques. This approach retains the nonlinearities of a fixed number of stages that precede the time of interest, and processes information from earlier stages in an approximate manner. The algorithm has been tested using simulated and actual data from a challenging spacecraft attitude estimation problem in which there is significant measurement noise, poor initial state estimates, and highly nonlinear system dynamics. The filter compensates for this uncertainty through concurrent estimation of the attitude and moment of inertia parameters. The filter has been demonstrated to accurately and reliably converge on a motion solution in both types of test cases.
by Kyle Clarke Volpe.
S.M.
Libri sul tema "Radar in aeronautics"
Morris, G. V. Airborne pulsed Doppler radar. Norwood, MA: Artech House, 1988.
Cerca il testo completo1935-, Morris G. V., e Harkness L. 1956-, a cura di. Airborne pulsed doppler radar. 2a ed. Boston: Artech House, 1996.
Cerca il testo completoBarr, James C. Airborne weather radar: A user's guide. Ames: Iowa State University Press, 1993.
Cerca il testo completoMack, A. R. Four band airborne radar imagery for agricultural applications. Ottawa: Agriculture Canada, Research Branch, 1986.
Cerca il testo completoW, Kamerman Gary, e Society of Photo-optical Instrumentation Engineers., a cura di. Laser radar technology and applications II: 23-25 April 1997, Orlando, Florida. Bellingham, Wash., USA: SPIE, 1997.
Cerca il testo completoSC-173, RTCA (Firm). Minimum operational performance standards for airborne weather radar with forward-looking windshear capability. Washington, D.C. (1140 Connecticut Ave., Northwest, Suite 1020 Washington 20036: RTCA, 1993.
Cerca il testo completoA, Anisimov V., Finkelʹshteĭn M. I e Rīgas civīlās aviācijas inženieru institūts., a cura di. Teorii͡a︡ i tekhnika radiolokat͡s︡ii, radionavigat͡s︡ii i radiosvi͡a︡zi v grazhdanskoĭ aviat͡s︡ii: Mezhvuzovskiĭ sbornik nauchnykh trudov. Riga: RIO RKIIGA, 1988.
Cerca il testo completoScott, R. E. Air-to-air radar flight testing. Neuilly-sur-Seine: AGARD, 1988.
Cerca il testo completoEuropean Conference on Synthetic Aperture Radar (5th 2004 Ulm, Germany). EUSAR 2004: Proceedings : 5th European Conference on Synthetic Aperture Radar : May 25-27, 2004, Ulm, Germany. Berlin: VDE-Verlag, 2004.
Cerca il testo completoEuropean, Conference on Synthetic Aperture Radar (1996 Königswinter Germany). EUSAR '96, European Conference on Synthetic Aperture Radar, 26-28 March 1996, Königswinter, Germany. Berlin: VDE-Verlag, 1996.
Cerca il testo completoCapitoli di libri sul tema "Radar in aeronautics"
Emmanuel, Uche. "Review of Agricultural Unmanned Aerial Vehicles (UAV) Obstacle Avoidance System". In Aeronautics - New Advances. IntechOpen, 2022. http://dx.doi.org/10.5772/intechopen.103037.
Testo completoAtti di convegni sul tema "Radar in aeronautics"
Bowdle, David A., e Daniel E. Fitzjarrald. "THE GLObal Backscatter Experiment (GLOBE) Program". In Coherent Laser Radar. Washington, D.C.: Optica Publishing Group, 1987. http://dx.doi.org/10.1364/clr.1987.wa1.
Testo completoBowdle, David A., Jeffry Rothermel, Steven F. Williams e James E. Arnold. "The GLObal Backscatter Experiment (GLOBE) Pacific Survey Mission". In Coherent Laser Radar. Washington, D.C.: Optica Publishing Group, 1991. http://dx.doi.org/10.1364/clr.1991.fa2.
Testo completoSrivastava, Vandana, Maurice Jarzembski, Antony D. Clarke, John Porter e Jeffry Rothermel. "Comparison of Backscatter Measurements with Aerosol Microphysics: Wavelength Dependence". In Coherent Laser Radar. Washington, D.C.: Optica Publishing Group, 1991. http://dx.doi.org/10.1364/clr.1991.wd6.
Testo completoBrook, A., E. Cristofani, M. Vandewal, C. Matheis e J. Jonuscheit. "3-D radar image processing methodology for Non-Destructive Testing of aeronautics composite materials and structures". In 2012 IEEE Radar Conference (RadarCon). IEEE, 2012. http://dx.doi.org/10.1109/radar.2012.6212248.
Testo completoRothermel, Jeffry, William D. Jones, Vandana Srivastava, Maurice Jarzembski e Diana Hampton. "Remote Tropospheric Backscatter Measurements at 9.1 and 10.6 Micrometers with Airborne Focused Doppler Lidars". In Coherent Laser Radar. Washington, D.C.: Optica Publishing Group, 1991. http://dx.doi.org/10.1364/clr.1991.fa5.
Testo completoAllario, Frank, Charles E. Byvik e Norman P. Barnes. "Solid State Laser Technology for Coherent Lidar". In Coherent Laser Radar. Washington, D.C.: Optica Publishing Group, 1987. http://dx.doi.org/10.1364/clr.1987.ma2.
Testo completoRothermel, Jeffry, J. Michael Vaughan e David A. Bowdle. "Algorithm to Calculate Aerosol Backscatter from Airborne CW Focused CO2 Doppler Lidar Measurements". In Coherent Laser Radar. Washington, D.C.: Optica Publishing Group, 1987. http://dx.doi.org/10.1364/clr.1987.tua4.
Testo completoZhang, Xiao-lin, Wen-ting You, Qiang Guo e He-yang Cao. "Recognition method studies for radar and communication signals based on spectral correlation". In 2010 3rd International Symposium on Systems and Control in Aeronautics and Astronautics (ISSCAA 2010). IEEE, 2010. http://dx.doi.org/10.1109/isscaa.2010.5633036.
Testo completoLinnehan, Robert. "Profiles in industry: General Atomics Aeronautical Systems Inc." In Radar Sensor Technology XXII, a cura di Kenneth I. Ranney e Armin Doerry. SPIE, 2018. http://dx.doi.org/10.1117/12.2305176.
Testo completoZak, Jan, e Vaclav Papez. "Target position determining in aeronautical issues". In 2017 18th International Radar Symposium (IRS). IEEE, 2017. http://dx.doi.org/10.23919/irs.2017.8008243.
Testo completoRapporti di organizzazioni sul tema "Radar in aeronautics"
Lammers, Gary, e Mel Lammers. Technical Raster Transfer Installation Drawing: Waveguide LPCR-130-2 Radar. Submitted By: Lockheed Aeronautical Systems. Supporting: WR-ALC/TILCA's EDCARS Program Contract Number F33657-90-C-0071-P000l3BL2. MIL-STD-1840A, MIL-R-28002A (Raster). Quick Short Test Report. Fort Belvoir, VA: Defense Technical Information Center, agosto 1994. http://dx.doi.org/10.21236/ada312997.
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