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Relevant bibliographies by topics / Radar – Mathematical models – Research

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Academic literature on the topic 'Radar – Mathematical models – Research'

Author: Grafiati

Published: 4 June 2021

Last updated: 8 February 2022

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Journal articles on the topic "Radar – Mathematical models – Research"

1

Kozlov, K. O. "MODELING PRINCIPLES OF SPATIALLY DISTRIBUTED RADAR SYSTEMS." Issues of radio electronics, no. 3 (March 20, 2018): 7–10. http://dx.doi.org/10.21778/2218-5453-2018-3-7-10.

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The physical and mathematical principles of bistatic radar are considered in the article, the essential characteristics are considered when constructing a mathematical model of a spatially distributed radar system. The necessity of software implementation of such a model for further investigation of bistatic radars is substantiated. The article discusses the necessity of upgrading radar equipment to improve the quality of the detection and identification of small flying machines and means of achieving this. Discusses the physical and mathematical principles of non-emitting radar system with di

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Wu, Da Yu, Shao Jun Liu, and Yan Wang. "Research on Model of Airborne Radar Reconnaissance for Joint Campaign Level Wargame Based on EBI." Applied Mechanics and Materials 713-715 (January 2015): 680–85. http://dx.doi.org/10.4028/www.scientific.net/amm.713-715.680.

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The model of airborne radar reconnaissance is one of key models for joint campaign level wargame. On the one hand the joint campaign level wargame system often needs to simulate hundreds of aircraft in once combat simulation which requires high computing capability. On the other hand, a few aircraft can affect the progress of the war in the information war age sometimes, therefore, modern joint campaign level wargame systems need to simulate single aircraft now. In this paper, we proposes a model of airborne radar reconnaissance for joint campaign level wargame based on EBI(Entity, Behavior, I

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3

Liao, Huan, Jian Guo Wang, and Zong Jie Cao. "Aircraft Rotating Blades Radar Echo Model and JEM Feature Extraction." Advanced Materials Research 341-342 (September 2011): 484–89. http://dx.doi.org/10.4028/www.scientific.net/amr.341-342.484.

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Air defense radar target recognition is a difficult area of target identification, target identification of aircraft has been an important area of national military research. On the basis of jet engine modulation (JEM) effect of air craft, caused of rotating components’ periodic motion, an universal mathematical model of air defense radar propellers modulation echo is established in this paper. According to the characteristic of propellers modulation echo, simulated and compared the effects of propellers structure parameters to rotary blades radar echo signals, and pointed out that diverse

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Wang, Wei, Chengwen Zhang, Jinge Tian, Jianping Ou, and Ji Li. "A SAR Image Target Recognition Approach via Novel SSF-Net Models." Computational Intelligence and Neuroscience 2020 (July 9, 2020): 1–9. http://dx.doi.org/10.1155/2020/8859172.

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With the wide application of high-resolution radar, the application of Radar Automatic Target Recognition (RATR) is increasingly focused on how to quickly and accurately distinguish high-resolution radar targets. Therefore, Synthetic Aperture Radar (SAR) image recognition technology has become one of the research hotspots in this field. Based on the characteristics of SAR images, a Sparse Data Feature Extraction module (SDFE) has been designed, and a new convolutional neural network SSF-Net has been further proposed based on the SDFE module. Meanwhile, in order to improve processing efficiency

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Fedaravičius, Algimantas, Sigitas Kilikevičius, Arvydas Survila, and Saulius Račkauskas. "Short range rocket-target: research, development and implementation." Aircraft Engineering and Aerospace Technology 91, no. 7 (2019): 1027–32. http://dx.doi.org/10.1108/aeat-07-2018-0177.

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Purpose The purpose of this paper is to present the aerodynamic analysis and external ballistics modeling used in the development of a rocket-target for short range air defence missile systems. Design/methodology/approach A computational fluid dynamics (CFD) analysis of the airflow around the rocket-target was carried out to estimate the drag, which was needed to develop a mathematical model for external ballistics of the rocket-target. Field-experimental testing was conducted to compare the model results to the data obtained experimentally using various additional measurement techniques such

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PICHUGIN, Vladimir N., E. V. YAGIN, A. V. LUKISHIN, O. A. PAKHOMOVA, and A. Y. HAZOV. "SPECTRAL APPROACH TO THE ESTIMATION OF THE TIME SERIES OF THE POWER CHANGE IN THE SUBSTATION METERING UNITS AND ITS APPLICATION IN THE CONTROL MODES OF SUBSTATION ELECTRICITY METERING SYSTEMS." Periódico Tchê Química 16, no. 33 (2019): 549–60. http://dx.doi.org/10.52571/ptq.v16.n33.2019.564_periodico33_pgs_549_560.pdf.

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In order to create models of extended surfaces in the long and short wavelength parts of the wave spectrum, it is necessary to know the dispersion characteristics of tape-like obstacles perfectly located both in free space and on an extended surface. Methods of remote studying of extended surfaces, based on an analysis of signals that are generated by reflection or radiation of electromagnetic waves passing neoplasms allows us to view the topography, characteristics, and type of the different locations, sizes of various objects. One of the effective methods of study is to solve the problem of

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Intrieri, Emanuele, Federica Bardi, Riccardo Fanti, et al. "Big data managing in a landslide early warning system: experience from a ground-based interferometric radar application." Natural Hazards and Earth System Sciences 17, no. 10 (2017): 1713–23. http://dx.doi.org/10.5194/nhess-17-1713-2017.

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Abstract. A big challenge in terms or landslide risk mitigation is represented by increasing the resiliency of society exposed to the risk. Among the possible strategies with which to reach this goal, there is the implementation of early warning systems. This paper describes a procedure to improve early warning activities in areas affected by high landslide risk, such as those classified as critical infrastructures for their central role in society. This research is part of the project LEWIS (Landslides Early Warning Integrated System): An Integrated System for Landslide Monitoring, Early Warn

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Bucha, Tomáš, Juraj Papčo, Ivan Sačkov, et al. "Woody Above-Ground Biomass Estimation on Abandoned Agriculture Land Using Sentinel-1 and Sentinel-2 Data." Remote Sensing 13, no. 13 (2021): 2488. http://dx.doi.org/10.3390/rs13132488.

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Abandoned agricultural land (AAL) is a European problem and phenomenon when agricultural land is gradually overgrown with shrubs and forest. This wood biomass has not yet been systematically inventoried. The aim of this study was to experimentally prove and validate the concept of the satellite-based estimation of woody above-ground biomass (AGB) on AAL in the Western Carpathian region. The analysis is based on Sentinel-1 and -2 satellite data, supported by field research and airborne laser scanning. An improved AGB estimate was achieved using radar and optical multi-temporal data and polarime

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Bao, Nguyen Phung, and Quang Hieu Dang. "Synthesis of an Algorithm for Processing the Trajectories of Moving Objects Using the Methods of Data Clustering Theory." Journal of the Russian Universities. Radioelectronics 24, no. 2 (2021): 54–67. http://dx.doi.org/10.32603/1993-8985-2021-24-2-54-67.

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Introduction. Requirements for the quality of information about the trajectory of moving objects provided by sensor networks are increasingly becoming more stringent. For Information and Data Processing Centers (DPC) at control and management command posts, the issue of information mapping and forming the true trajectories of moving objects in the area of intersection of network detection zones is of particular importance. The use of conventional approaches to solving this problem involves issues related to ensuring the efficient provision of users with complete and reliable information about

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Wang, Bin, and Xiaolei Hao. "Robust Waveform Design Based on Bisection and Maximum Marginal Allocation Methods with the Concept of Information Entropy." Mathematical Problems in Engineering 2020 (August 6, 2020): 1–23. http://dx.doi.org/10.1155/2020/3529858.

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Cognitive radar can overcome the shortcomings of traditional radars that are difficult to adapt to complex environments and adaptively adjust the transmitted waveform through closed-loop feedback. The optimization design of the transmitted waveform is a very important issue in the research of cognitive radar. Most of the previous studies on waveform design assume that the prior information of the target spectrum is completely known, but actually the target in the real scene is uncertain. In order to simulate this situation, this paper uses a robust waveform design scheme based on signal-to-int

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Dissertations / Theses on the topic "Radar – Mathematical models – Research"

1

Alifrangis, Spyridon Mathew. "Development of an algorithm for the detection of coherency in radar signal waveforms." Thesis, Virginia Tech, 1989. http://hdl.handle.net/10919/45963.

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<p>The estimation of the stability of radar emissions is of considerable interest in the evaluation of radar clutter rejection performance and also for the general knowledge of the waveform required for the design of threat simulators. It should be stressed that for the estimation of clutter rejection capability, it is the stability of the entire waveform that is of general importance, although the stability of parameters such as phase, Pulse Repetition Interval (PRI) and amplitude are typically specified because of the ease in instrumenting the measurement. The parametric estimates are

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Inaba, Yosuke. "Radar target imaging using time-reversed processing." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2001. http://handle.dtic.mil/100.2/ADA397112.

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Thesis (M.S. in Systems Engineering)--Naval Postgraduate School, Sept. 2001.<br>Thesis advisor: Morgan, Michael A. "September 2001." Includes bibliographical references (p. 87-88). Also Available in print.

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Perez, Husein. "Discrete mathematical models for electrical impedance tomography." Thesis, Oxford Brookes University, 2016. https://radar.brookes.ac.uk/radar/items/3c78b420-c2d3-46df-83e7-5fd934e5f5ae/1/.

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Electrical Impedance Tomography (EIT) is a non-invasive, portable and low-cost medical imaging technique. Different current patterns are injected to the surface of a conductive body and the corresponding voltages are measured also on the boundary. These mea-surements are the data used to infer the interior conductivity distribution of the object. However, it is well known that the reconstruction process is extremely ill-posed due to the low sensitivity of the boundary voltages to changes in the interior conductivity distribution. The reconstructed images also suffer from poor spatial resolutio

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Delgado, San Martin Juan A. "Mathematical models for preclinical heterogeneous cancers." Thesis, University of Aberdeen, 2016. http://digitool.abdn.ac.uk:80/webclient/DeliveryManager?pid=230139.

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Cancer is a deadly, complex disease with 14 million new cases diagnosed every year and the endeavour to develop a cure is a global multidisciplinary effort. The complexity of cancer and the resulting vast volume of data derived from its research necessitates a robust and cutting-edge system of mathematical and statistical modelling. This thesis proposes novel mathematical models of quantification and modelling applied to heterogeneous preclinical cancers, focusing on the translation of animal studies into patients with particular emphasis on tumour stroma. The first section of this thesis (qua

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Cervera, Manuel A. "Meteor observations with a narrow beam VHF radar /." Title page, contents and abstract only, 1996. http://web4.library.adelaide.edu.au/theses/09PH/09phc419.pdf.

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Thesis (Ph. D.)--University of Adelaide, Dept. of Physics and Mathematical Physics, 1996.<br>Copies of author's previously published articles are inserted between p. 272-283 and are not numbered as part of main text. Includes bibliographical references (p. 283-293).

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Legg, Jonathan Andrew. "Synthetic aperture radar using non-uniform sampling." Title page, contents and abstract only, 1997. http://web4.library.adelaide.edu.au/theses/09PH/09phl513.pdf.

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Holdsworth, David A. "Signal analysis with applications to atmospheric radars /." Title page, abstract and contents only, 1995. http://web4.library.adelaide.edu.au/theses/09PH/09phh728.pdf.

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Mandock, Randal Lee Nicholas. "A multiple beam sodar for the measurement of atmospheric turbulence." Diss., Georgia Institute of Technology, 1997. http://hdl.handle.net/1853/25869.

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Schroder, Ulf P. "Development of a weather radar signal simulator to examine sampling rates and scanning schemes." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2005. http://library.nps.navy.mil/uhtbin/hyperion/05Sep%5FSchroder.pdf.

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Mitwasi, Mousa George. "Mathematical models for the deterministic, capacitated, single kanban system." Diss., The University of Arizona, 1991. http://hdl.handle.net/10150/185523.

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The kanban system is the most popular technique for implementing the Just-In-Time philosophy. In this dissertation we develop mathematical models for the deterministic, capacitated, single kanban system. Three different production structures are studied. The models are used to analyze the system, understand the need and behavior of kanbans, and compute good solutions for the number of kanbans to allocate for each part. The first model applies to the single-stage, single-item system. Optimal solutions for the number of kanbans for this system are developed. The second and third models are built

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Books on the topic "Radar – Mathematical models – Research"

1

Radar system performance modeling. 2nd ed. Artech House, 2004.

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2

Curry, G. Richard. Radar system performance modeling. Artech House, 2001.

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3

Pierson, Willard J. Final report on remote sensing research for NASA grant NAGW-690. National Aeronautics and Space Administration, 1995.

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Radar system analysis and modeling. Artech House, 2005.

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Mathematical models in cancer research. A. Hilger, 1988.

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Wheldon, T. E. Mathematical models in cancer research. Hilger, 1988.

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Wheldon, T. E. Mathematical models in cancer research. Hilger, 1988.

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Chen, K. S. (Kun-Shan), 1959-, ed. Microwave scattering and emission models for users. Artech House, 2010.

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Microwave scattering and emission models and their applications. Artech House, 1994.

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10

Yuhai, Mao, and Institution of Electrical Engineers, eds. Weibull radar clutter. P. Peregrinus Ltd. on behalf of the Institution of Electrical Engineers, 1990.

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Book chapters on the topic "Radar – Mathematical models – Research"

1

Gamba, Jonah. "Radar Waveforms and Their Mathematical Models." In Radar Signal Processing for Autonomous Driving. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-9193-4_4.

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Krishnan, Venkateswaran P. "Microlocal Analysis of Some Synthetic Aperture Radar Imaging Problems." In Mathematical Models, Methods and Applications. Springer Singapore, 2015. http://dx.doi.org/10.1007/978-981-287-973-8_4.

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3

Wacker, Hj, T. Kronberger, A. Ortner, and L. Peer. "Mathematical Models in Chemical Engineering." In Operations Research Proceedings. Springer Berlin Heidelberg, 1992. http://dx.doi.org/10.1007/978-3-642-77254-2_66.

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Terzopoulos, Demetri. "On Deformable Models." In Mathematical Sciences Research Institute Publications. Springer New York, 1991. http://dx.doi.org/10.1007/978-1-4613-9711-3_20.

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Langenberg, H. "Mathematical Models in Environmental Research." In GKSS School of Environmental Research. Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/978-3-642-59563-9_5.

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Koprucki, Thomas, and Karsten Tabelow. "Mathematical Models: A Research Data Category?" In Mathematical Software – ICMS 2016. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-42432-3_53.

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Metcalfe, Andrew. "The Value of Mathematical Models." In Research Methods for Postgraduates: Third Edition. John Wiley & Sons, Ltd, 2016. http://dx.doi.org/10.1002/9781118763025.ch31.

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Gluschenko, Konstantin. "Nonlinear Models of Convergence." In Mathematical Optimization Theory and Operations Research. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-58657-7_18.

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Chorin, Alexandre Joel. "Lattice Vortex Models and Turbulence Theory." In Mathematical Sciences Research Institute Publications. Springer US, 1987. http://dx.doi.org/10.1007/978-1-4613-9583-6_1.

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Schönberger, Jörn. "Adaptive Controllers for Mathematical Optimization Models." In Operations Research/Computer Science Interfaces Series. Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-9682-4_5.

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Conference papers on the topic "Radar – Mathematical models – Research"

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Semenova, K. I., and F. J. Yanovsky. "Spline models for synthetic aperture radar application." In 2012 International Conference on Mathematical Methods in Electromagnetic Theory (MMET). IEEE, 2012. http://dx.doi.org/10.1109/mmet.2012.6331255.

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Chernykh, G. G., A. G. Demenkov, and S. N. Yakovenko. "Mathematical models of swirling turbulent jet flows." In INTERNATIONAL CONFERENCE ON THE METHODS OF AEROPHYSICAL RESEARCH (ICMAR 2018). Author(s), 2018. http://dx.doi.org/10.1063/1.5065158.

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Narang, Vipin, Shek Yoon Wong, Shiang Rong Leong, Jean-Pierre Abastado, and Alexandre Gouaillard. "Comparing mathematical models of cell adhesion in tumors." In 2011 Defense Science Research Conference And Expo (DSR). IEEE, 2011. http://dx.doi.org/10.1109/dsr.2011.6026809.

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Zhuravlev, Aleksandr Ivanovich. "Radar chart as a means of presentation of results of mathematical modelling." In VII International applied research conference, chair Aleksandr Nikolaevich Fadeev. TSNS Interaktiv Plus, 2016. http://dx.doi.org/10.21661/r-80788.

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Zhe, Han, Zheng Zhicheng, Han Wenfeng, and Duan Feng. "Research on extraction of weak life signals based on multi-channel models." In 2016 CIE International Conference on Radar (RADAR). IEEE, 2016. http://dx.doi.org/10.1109/radar.2016.8059475.

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Borisenok, Sergey. "Mathematical models of brain dynamics: Progress and perspectives." In THE 5TH INTERNATIONAL CONFERENCE ON RESEARCH AND EDUCATION IN MATHEMATICS: ICREM5. AIP, 2012. http://dx.doi.org/10.1063/1.4724111.

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Bin Deng, Yuliang Qin, Hongqiang Wang, and Xiang Li. "An efficient mathematical description of range models for high-order-motion targets in synthetic aperture radar." In 2012 IEEE Radar Conference (RadarCon). IEEE, 2012. http://dx.doi.org/10.1109/radar.2012.6212102.

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Khairudin, Nur Izzati, and Farah Aini Abdullah. "The stability of colorectal cancer mathematical models." In PROCEEDINGS OF THE 20TH NATIONAL SYMPOSIUM ON MATHEMATICAL SCIENCES: Research in Mathematical Sciences: A Catalyst for Creativity and Innovation. AIP, 2013. http://dx.doi.org/10.1063/1.4801148.

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Valdeón, Aitor, Aurora M. Castilla, Dan Cogӑlniceanu, et al. "Predicting The Distribution Of Lizard Species In Qatar Using Mathematical Models." In Qatar Foundation Annual Research Conference Proceedings. Hamad bin Khalifa University Press (HBKU Press), 2014. http://dx.doi.org/10.5339/qfarc.2014.eepp0680.

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Chu, Chris. "Pioneer Research on Mathematical Models and Methods for Physical Design." In ISPD '18: International Symposium on Physical Design. ACM, 2018. http://dx.doi.org/10.1145/3177540.3177565.

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Reports on the topic "Radar – Mathematical models – Research"

1

Iisa, Kristiina. Development of Kinetics and Mathematical Models for High-Pressure Gasification of Lignite-Switchgrass Blends: Cooperative Research and Development Final Report, CRADA Number CRD-11-447. Office of Scientific and Technical Information (OSTI), 2016. http://dx.doi.org/10.2172/1247124.

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Tucker-Blackmon, Angelicque. Engagement in Engineering Pathways “E-PATH” An Initiative to Retain Non-Traditional Students in Engineering Year Three Summative External Evaluation Report. Innovative Learning Center, LLC, 2020. http://dx.doi.org/10.52012/tyob9090.

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The summative external evaluation report described the program's impact on faculty and students participating in recitation sessions and active teaching professional development sessions over two years. Student persistence and retention in engineering courses continue to be a challenge in undergraduate education, especially for students underrepresented in engineering disciplines. The program's goal was to use peer-facilitated instruction in core engineering courses known to have high attrition rates to retain underrepresented students, especially women, in engineering to diversify and broaden

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