Relevant bibliographies by topics / Radar – Simulation methods

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Radar – Simulation methods'

Author: Grafiati
Published: 4 June 2021
Last updated: 16 February 2022

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Journal articles on the topic "Radar – Simulation methods"

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Sun, Qing, Yong Sun, and Guo An Zhou. "Study on Measuring Methods of Self-Physical Simulation to Radar Performance." Applied Mechanics and Materials 496-500 (January 2014): 2154–57. http://dx.doi.org/10.4028/www.scientific.net/amm.496-500.2154.

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Self-physical simulation technique has been increasingly extensive used in measuring and evaluating the performance of weapon systems. Based on the characteristics of self-physical simulation, measuring methods of this technique to radar range and coordinates tracking accuracy of radar targets have been discussed in this paper, and which lays certain foundations for performance evaluation of weapon system.
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Curtis, Christopher D. "Weather Radar Time Series Simulation: Improving Accuracy and Performance." Journal of Atmospheric and Oceanic Technology 35, no. 11 (2018): 2169–87. http://dx.doi.org/10.1175/jtech-d-17-0215.1.

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AbstractTime series simulation is an important tool for developing and testing new signal processing algorithms for weather radar. The methods for simulating time series data have not changed much over the last few decades, but recent advances in computing technology call for new methods. It would seem that faster computers would make better-performing simulators less necessary, but improved technology has made comprehensive, multiday simulations feasible. Even a relatively minor performance improvement can significantly shorten the time of one of these multiday simulations. Current simulators can also be inaccurate for some sets of parameters, especially narrow spectrum widths. In this paper, three new modifications to the conventional simulators are introduced to improve accuracy and performance. Two of the modifications use thresholds to optimize both the total number of samples and the number of random variates that need to be simulated. The third modification uses an alternative method for implementing the inverse Fourier transform. These new modifications lead to fast versions of the simulators that accurately match the desired autocorrelation and spectrum for a wide variety of signal parameters. Additional recommendations for using single-precision values and graphical processing units are also suggested.
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Niranjan, R. K., A. K. Singh, and C. B. Rama Rao. "High Accuracy Parameter Estimation for Advanced Radar Identification of Electronic Intelligence System." Defence Science Journal 70, no. 3 (2020): 278–84. http://dx.doi.org/10.14429/dsj.70.15105.

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Radar identification is one of the vital operations in an electronic intelligence system. The conventional methods based on basic parameters comparison of unique identification of a radar in a cluster of similar radars, is prone to ambiguities. To meet the current tactical requirements of unique identification of a radar, the methodology needs to be based on better feature extraction, even in low SNR conditions. The paper explores a novel technique based on moving autocorrelation for the extraction of intra-pulse and inter-pulse radar parameters. Extensive simulation and empirical studies have been carried out to establish the approach to extend accurate radar parameters in noisy and low SNR conditions. The technique is found to be promising even in field data conditions. The paper describes the methodology, simulation results, FPGA implementation using system generator and resource utilisation summary.
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Wang, Bin, Jinkuan Wang, Xin Song, and Fengming Xin. "Transmitted Waveform Design Based on Iterative Methods." Journal of Applied Mathematics 2013 (2013): 1–10. http://dx.doi.org/10.1155/2013/949084.

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In intelligent radar, it is an important problem for the transmitted waveform to adapt to the environment in which radar works. In this paper, we propose mutual information model of adaptive waveform design, which can convert the problem of adaptive waveform design into the problem of optimization. We consider two situations of no clutter and clutter and use Newton method and interior point method to solve the optimization problem. Then we can draw the design criterion for the transmitted waveform in cognitive radar and get a greater mutual information from the simulation results. Finally, the whole paper is summarized.
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He, Miao, Li Yu Tian, Xiong Jun Fu, and Yun Chen Jiang. "Performance Comparison of Wideband Radar Target Detection Methods." Advanced Materials Research 971-973 (June 2014): 1680–83. http://dx.doi.org/10.4028/www.scientific.net/amr.971-973.1680.

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In wideband radar situation, target-spread and all scattering points back wave could be considered as the pulse train of random parameters. The wideband radar target and built the related model. Then it gave two methods of target detection, one is Energy Accumulation and the other is the IPTRP. It also presented the simulation result of these two methods performance curves. It showed that the IPTRP improved by more than 3dB in the same SNR.
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Wang, Bin, Jin Kuan Wang, Xin Song, and Feng Ming Xin. "Comparison of Two Waveform Design Methods Based on MI and SINR." Applied Mechanics and Materials 427-429 (September 2013): 1076–79. http://dx.doi.org/10.4028/www.scientific.net/amm.427-429.1076.

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Modern radar systems should transmit different waveforms according to different environment. Waveform design is an important problem in radar system design. In this paper, we compare two waveform design methods based on MI and SINR with the signal model of a Gaussian target ensemble in ground clutter. The simulation results show that for the different tasks of radar, the energy allocation modes are different. Finally, the whole paper is summarized.
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Zhang, Zhenkai, Bing Zhang, Zhibin Xie, and Yi Yang. "Radar Selection Method Based on an Improved Information Filter in the LPI Radar Network." International Journal of Antennas and Propagation 2018 (December 17, 2018): 1–6. http://dx.doi.org/10.1155/2018/6104849.

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In order to save the radar resources and obtain the better low probability intercept ability in the network, a novel radar selection method for target tracking based on improved interacting multiple model information filtering (IMM-IF) is presented. Firstly, the relationship model between radar resource and tracking accuracy is built, and the IMM-IF method is presented. Then, the information gain of every radar is predicted according to the IMM-IF, and the radars with larger information gain are selected to track target. Finally, the weight parameters for the tracking fusion are designed after the error covariance prediction of every working radar, in order to improve the IMM-IF. Simulation results show that the proposed algorithm not only saves much more radar resources than other methods but also has excellent tracking accuracy.
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Du, Jianhe, Meng Han, Libiao Jin, Yan Hua, and Shufeng Li. "Target Localization Methods Based on Iterative Super-Resolution for Bistatic MIMO Radar." Electronics 9, no. 2 (2020): 341. http://dx.doi.org/10.3390/electronics9020341.

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The direction-of-departure (DOD) and the direction-of-arrival (DOA) are important localization parameters in bistatic MIMO radar. In this paper, we are interested in DOD/DOA estimation of both single-pulse and multiple-pulse multiple-input multiple-output (MIMO) radars. An iterative super-resolution target localization method is firstly proposed for single-pulse bistatic MIMO radar. During the iterative process, the estimated DOD and DOA can be moved from initial angles to their true values with high probability, and thus can achieve super-resolution estimation. It works well even if the number of targets is unknown. We then extend the proposed method to multiple-pulse configuration to estimate target numbers and localize targets. Compared with existing methods, both of our proposed algorithms have a higher localization accuracy and a more stable performance. Moreover, the proposed algorithms work well even with low sampling numbers and unknown target numbers. Simulation results demonstrate the effectiveness of the proposed methods.
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Weber, Mark, Kurt Hondl, Nusrat Yussouf, et al. "Towards the Next Generation Operational Meteorological Radar." Bulletin of the American Meteorological Society 102, no. 7 (2021): E1357—E1383. http://dx.doi.org/10.1175/bams-d-20-0067.1.

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AbstractThis article summarizes research and risk reduction that will inform acquisition decisions regarding NOAA’s future national operational weather radar network. A key alternative being evaluated is polarimetric phased-array radar (PAR). Research indicates PAR can plausibly achieve fast, adaptive volumetric scanning, with associated benefits for severe-weather warning performance. We assess these benefits using storm observations and analyses, observing system simulation experiments, and real radar-data assimilation studies. Changes in the number and/or locations of radars in the future network could improve coverage at low altitude. Analysis of benefits that might be so realized indicates the possibility for additional improvement in severe-weather and flash-flood warning performance, with associated reduction in casualties. Simulations are used to evaluate techniques for rapid volumetric scanning and assess data quality characteristics of PAR. Finally, we describe progress in developing methods to compensate for polarimetric variable estimate biases introduced by electronic beam-steering. A research-to-operations (R2O) strategy for the PAR alternative for the WSR-88D replacement network is presented.
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Zych, Mariusz. "Methods of Achieving Good GPR Image Resolution Using Focused SAR Processing." International Journal of Electronics and Telecommunications 57, no. 1 (2011): 49–54. http://dx.doi.org/10.2478/v10177-011-0007-x.

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Methods of Achieving Good GPR Image Resolution Using Focused SAR Processing The paper describes the simulation and measurement results for a ground penetrating SAR radar. The main purpose of this paper is to present the complexity of the issues relating to GPR. Permittivity of the ground determination error causes the resolution deterioration of the resulting image therefore an important task of the digital signal processing is the correct estimation of the permittivity. The article presents several methods devoted to this subject. As a simulation model of SAR system the pulse radar with LFM (Linear Frequency Modulation) signal has been applied. The aim of the experiment is to test ability of the SAR system to obtain fully focused image of the underground targets. The real data measurements took place on the 6th floor at the Faculty of Electronics and Information - Warsaw University of Technology. During measurement campaign the GPR SAR demonstrator mounted on the rails wagon has been used to generate radar motion.
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Dissertations / Theses on the topic "Radar – Simulation methods"

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Gerekos, Christopher. "Advanced Backscattering Simulation Methods for the Design of Spaceborne Radar Sounders." Doctoral thesis, Università degli studi di Trento, 2020. http://hdl.handle.net/11572/261416.

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Spaceborne radar sounders are an important class of remote sensing instruments which operate by recording backscattered electromagnetic waves in the vicinity of a solid planetary body. The incoming waves are generally transmitted by the radar itself (active sounding), although external signals of opportunity can also be used (passive sounding). There are currently two major planetary radar sounders under development, both headed to the Jovian icy moons (Europa, Ganymede and Callisto). Designing a radar sounder is a very challenging process involving careful leveraging of heritage and predictive tools, and in which backscattering simulators play a central role. This is especially true for coherent simulators, due to their higher accuracy and the possibility they offer to apply advanced processing techniques on the resulting simulated data, such as synthetic aperture radar focusing, or any other operation which requires field amplitude, phase and polarisation. For this reason, designing computationally-efficient coherent simulators is an important and active research area. The first contribution of this thesis is a novel multilayer coherent simulator based on the Stratton-Chu equation and the linear phase approximation, which can generate realistic simulated radar data on a wide range of surface and subsurface digital elevation models (DEM), using only a fraction of the computational resources that a finite-difference time-domain method would need. Thorough validation was conducted against both theoretical formulations and real data, which confirmed the accuracy of the method. The method was then generalised to noisy active and passive sounding, which is an important capability in the context of the proposed use of passive sounding on the Jovian icy moons. Provided that representative information about the surface and this external field exists, the simulator could compare the relative scientific value of active and passive sounding of a given target under given conditions. However, quality DEMs of the Jovian icy moons are scarce. For this reason we also present a comparative study of the fractal roughness of Europa and Mars (a much better studied body), where we derive fractal analogue maps of twelve types of Europan terrains on Mars. These maps could be used to guide the choice of Martian DEMs on which to perform representative backscattering simulations for future radar missions on Europa. Finally, we explore the possibility of entirely new radar architectures with the novel concept of the distributed radar. In a distributed sounder, very large across-track antennas can be synthesised from smallsats flying on selected orbits, providing a way to obtain a highly-directive antenna without the need to deploy large and complex structures in space. We develop an analytical formulation to treat the problem of beamforming with an array affected by perturbations on the positions of its array elements, and propose a set of Keplerian parameters that enable the concept.
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Thakur, Sanchari. "Advanced Methods for Simulation and Performance Analysis of Planetary Radar Sounder Data." Doctoral thesis, Università degli studi di Trento, 2020. http://hdl.handle.net/11572/259173.

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Radar sounders (RS) are low frequency remote sensing instruments that profile the shallow subsurface of planetary bodies providing valuable scientific information. The prediction of the RS performance and the interpretation of the target properties from the RS data are challenging due to the complex electromagnetic interaction between many acquisition variables. RS simulations address this issue by forward modeling this complex interaction and simulating the radar response. However, existing simulators require detailed and subjective modeling of the target in order to produce realistic radargrams. For less-explored planetary bodies, such information is difficult to obtain with high accuracy. Moreover, the high computational requirements of conventional electromagnetic simulators prohibit the simulation of a large number of radargrams. Thus, it is not possible to generate and analyze a database of simulated radargrams representative of the acquisition scenario that would be very useful for both the RS design and the data analysis phase. To overcome these difficulties and to produce realistic simulated radargrams, this thesis proposes two novel approaches to the simulation and analysis of the radar response. The first contribution is a simulation approach that leverages the data available over geological analogs of the investigated target and reprocesses them to obtain the simulated radargrams. The second contribution is a systematic approach to the generation and analysis of a database of simulated radargrams representing the possible scenarios during the RS acquisition. The database is analyzed to predict the RS performance, to design the instrument parameters, and to support the development of automatic target detection algorithms. To demonstrate the proposed techniques the thesis addresses their use in two future RS instruments, which are at different phases of development: (1) the Radar for Icy Moons Exploration (RIME) and (2) a RS for Earth observation of the polar ice caps. The first contribution focuses on the analysis of the detectability of complex tectonic targets on the icy moons of Jupiter by RIME by simulating the radar response of 3D target models. The second contribution presents a feasibility study for an Earth orbiting RS based on the proposed simulation approaches.
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Donini, Elena. "Advanced methods for simulation-based performance assessment and analysis of radar sounder data." Doctoral thesis, Università degli studi di Trento, 2021. http://hdl.handle.net/11572/304147.

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Radar Sounders (RSs) are active sensors that transmit in the nadir electromagnetic (EM) waves with a low frequency in the range of High-Frequency and Very-High-Frequency and relatively wide bandwidth. Such a signal penetrates the surface and propagates in the subsurface, interacting with dielectric interfaces. This interaction yields to backscattered echoes detectable by the antenna that are coherently summed and stored in radargrams. RSs are used for planetary exploration and Earth observation for their value in investigating subsurface geological structures and processes, which reveal the past geomorphological history and possible future evolution. RS instruments have several parameter configurations that have to be designed to achieve the mission science goals. On Mars, radargram visual analyses revealed the icy layered deposits and liquid water evidence in the poles. On the Earth, RSs showed relevant structures and processes in the cryosphere and the arid areas that help to monitor the subsurface geological evolution, which is critical for climate change. Despite the valuable results, visual analysis is subjective and not feasible for processing a large amount of data. Therefore, a need emerges for automatic methods extracting fast and reliable information from radargrams. The thesis addresses two main open issues of the radar-sounding literature: i) assessing target detectability in simulated orbiting radargrams to guide the design of RS instruments, and ii) designing automatic methods for information extraction from RS data. The RS design is based on assessing the performance of a given instrument parameter configuration in achieving the mission science goals and detecting critical targets. The assessment guides the parameter selection by determining the appropriate trade-off between the achievable performance and technical limitations. We propose assessing the detectability of subsurface targets (e.g., englacial layering and basal interface) from satellite radar sounders with novel performance metrics. This performance assessment strategy can be applied to guide the design of the SNR budget at the surface, which can further support the selection of the main EORS instrument parameters. The second contribution is designing automatic methods for analyzing radargrams based on fuzzy logic and deep learning. The first method aims at identifying buried cavities, such as lava tubes, exploiting their geometric and EM models. A fuzzy system is built on the model that detects candidate reflections from the surface and the lava tube boundary. The second and third proposed methods are based on deep learning, as they showed groundbreaking results in several applications. We contributed with an automatic technique for analyzing radargram acquired in icy areas to investigate the basal layer. To this end, radargrams are segmented with a deep learning network into literature classes, including englacial layers, bedrock, and echo-free zone (EFZ) and thermal noise, as well as new classes of basal ice and signal perturbation. The third method proposes an unsupervised segmentation of radargrams with deep learning for detecting subsurface features. Qualitative and quantitative experimental results obtained on planetary and terrestrial radargrams confirm the effectiveness of the proposed methods, which investigate new subsurface targets and allow an improvement in terms of accuracy when compared to other state-of-the-art methods.
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Fahlke, Jorrit [Verfasser], and Peter [Akademischer Betreuer] Bastian. "Discontinuous Galerkin Methods for Parallel Simulation of Ground-Penetrating Radar in 3D / Jorrit Fahlke ; Betreuer: Peter Bastian." Heidelberg : Universitätsbibliothek Heidelberg, 2014. http://d-nb.info/1180300106/34.

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Pistorius, Morne. "Measurement correlation in a target tracking system using range and bearing observations." Thesis, Stellenbosch : University of Stellenbosch, 2006. http://hdl.handle.net/10019.1/2006.

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Thesis (MSc (Mathematical Sciences. Applied Mathematics))--University of Stellenbosch, 2006.<br>In this work we present a novel method to do measurement correlation between target observations made by two ormore radar systems. Some of the most common radar sensors available are those measuring only range (distance to the target) and bearing (azimuth angle). We use these measurements to determine the correlation between two di¤erent sensors observing the same target. As a by-product of the correlation algorithm, we nd a way to estimate the target height for a target observed by at least two radar sensors. The correlation method is expounded upon, where we discuss measurement correlation for moving targets. Targets are tracked using a Kalman Filter, and correlation is done between new observations and existing target tracks. Finally, the correlation algorithm is implemented in an interactive 3D computer simulation. Results obtained indicate a high success rate, with false correlations only obtained where sensor accuracy is the limiting factor.
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Uduwawala, Disala. "A comprehensive study of resistor-loaded planar dipole antennas for ground penetrating radar applications." Doctoral thesis, Stockholm : Division of Electromagnetic Engineering, School of Electric Engineering, Royal Institute of Technology, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-4110.

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Sarma, Vaibhav. "Urban surface characterization using LiDAR and aerial imagery." Thesis, University of North Texas, 2009. https://digital.library.unt.edu/ark:/67531/metadc12196/.

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Many calamities in history like hurricanes, tornado and flooding are proof to the large scale impact they cause to the life and economy. Computer simulation and GIS helps in modeling a real world scenario, which assists in evacuation planning, damage assessment, assistance and reconstruction. For achieving computer simulation and modeling there is a need for accurate classification of ground objects. One of the most significant aspects of this research is that it achieves improved classification for regions within which light detection and ranging (LiDAR) has low spatial resolution. This thesis describes a method for accurate classification of bare ground, water body, roads, vegetation, and structures using LiDAR data and aerial Infrared imagery. The most basic step for any terrain modeling application is filtering which is classification of ground and non-ground points. We present an integrated systematic method that makes classification of terrain and non-terrain points effective. Our filtering method uses the geometric feature of the triangle meshes created from LiDAR samples and calculate the confidence for every point. Geometric homogenous blocks and confidence are derived from TIN model and gridded LiDAR samples. The results from two representations are used in a classifier to determine if the block belongs ground or otherwise. Another important step is detection of water body, which is based on the LiDAR sample density of the region. Objects like tress and bare ground are characterized by the geometric features present in the LiDAR and the color features in the infrared imagery. These features are fed into a SVM classifier which detects bare-ground in the given region. Similarly trees are extracted using another trained SVM classifier. Once we obtain bare-grounds and trees, roads are extracted by removing the bare grounds. Structures are identified by the properties of non-ground segments. Experiments were conducted using LiDAR samples and Infrared imagery from the city of New Orleans. We evaluated the influence of different parameters to the classification. Water bodies were extracted successfully using density measures. Experiments showed that fusion of geometric properties and confidence levels resulted into efficient classification of ground and non-ground regions. Classification of vegetation using SVM was promising and effective using the features like height variation, HSV, angle etc. It is demonstrated that our methods successfully classified the region by using LiDAR data in a complex urban area with high-rise buildings.
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Veiga, Ricardo Sales da. "Sistema de navegação e localização para um robô escalador magnético de inspeção baseado em sensores LIDAR." Universidade Tecnológica Federal do Paraná, 2015. http://repositorio.utfpr.edu.br/jspui/handle/1/1255.

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ANP; FINEP; MCT; CAPES<br>Este trabalho objetiva otimizar a localização de um robô móvel para a inspeção dos tanques de armazenamento de GLP -- Gás Liquefeito de Petróleo -- e permitir a navegação autônoma deste robô por toda a superfície do tanque. A falta de marcos no interior dos tanques levou ao desenvolvimento de uma solução envolvendo detecção de pequenas estruturas com sensores LIDAR (Light Detection and Ranging - Detecção e Telemetria por Luz) aplicada aos cordões de solda, estes sim presentes no interior do tanque, que é apresentada na primeira parte do trabalho. Em seguida, aplicando uma técnica de fusão de dados, as diferentes fontes de odometria presentes no robô são combinadas, permitindo uma precisão mais elevada na inspeção de modo geral. Por fim, o mapeamento e navegação simultâneos do exterior da esfera é abordado, a fim de se adicionar uma camada suplementar ao mapa digital, indicando os locais onde existem falhas. Testes para validação de cada uma das técnicas foram efetuados e uma análise de desempenho é apresentada ao final do trabalho.<br>This work aims to optimize localization of a climbing inspection robot for spherical LPG -- Liquified Petroleum Gas -- tanks and allow autonomous navigation along the entire surface of these tanks. One solution envolving small structures detection using LIDAR sensors is applied to the weld beads that are present inside the tanks. This solution is developed on the first part of this work. Following, a data fusion technique is used to combine the diferent odometry sources on the robot, resulting in a better, higher precision on the inspection as a whole. Finnaly, simultaneous mapping and navigation on the exterior of the spherical tank was studied in order to add one extra layer to the digital map, pinpointing the places where failures and weld beams were found. Validation tests for each one of this techniques are carried out and a performance analysis is also documented herein.
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Ramesh, Sathya. "High Resolution Satellite Images and LiDAR Data for Small-Area Building Extraction and Population Estimation." Thesis, University of North Texas, 2009. https://digital.library.unt.edu/ark:/67531/metadc12188/.

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Population estimation in inter-censual years has many important applications. In this research, high-resolution pan-sharpened IKONOS image, LiDAR data, and parcel data are used to estimate small-area population in the eastern part of the city of Denton, Texas. Residential buildings are extracted through object-based classification techniques supported by shape indices and spectral signatures. Three population indicators -building count, building volume and building area at block level are derived using spatial joining and zonal statistics in GIS. Linear regression and geographically weighted regression (GWR) models generated using the three variables and the census data are used to estimate population at the census block level. The maximum total estimation accuracy that can be attained by the models is 94.21%. Accuracy assessments suggest that the GWR models outperformed linear regression models due to their better handling of spatial heterogeneity. Models generated from building volume and area gave better results. The models have lower accuracy in both densely populated census blocks and sparsely populated census blocks, which could be partly attributed to the lower accuracy of the LiDAR data used.
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Bourgeois, Jacqueline M. "A complete three-dimensional electromagnetic simulation of ground-penetrating radars using the finite-difference time-domain method." Diss., Georgia Institute of Technology, 1997. http://hdl.handle.net/1853/14845.

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Books on the topic "Radar – Simulation methods"

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Radar system analysis, design, and simulation. Artech House, 2008.

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Crane, Peter M. Flight training simulators: Effects of terrain accuracy on simulated radar image quality. Air Force Human Resources Laboratory, Air Force Systems Command, 1985.

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Kokuritsu Kyokuchi Kenkyūjo. PANSY Kenkyū Gurūpu. Heisei 21-nendo (2009-nendo) Nankyoku Shōwa Kichi ōgata taiki rēdā keikaku (PANSY) kenkyū shūkai, nichiji 2009--nen 12-gatsu 9-chi, basho Kokuritsu Kyokuchi Kenkyūjo Daikaigishitsu. Kokuritsu Kyokuchi Kenkyūjo PANSY Kenkyū Gurūpu, 2009.

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Sun, Fengrong. Xian dai lei da zhuang bei zong he shi yan yu ping jia: Moden rader equipment integrated test and evaluation. Guo fang gong ye chu ban she, 2013.

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Aranow, P. A comparison of collision avoidance performance using various shipboard electronic aids. U.S. Dept. of Transportation, Maritime Administration, Office of Shipbuilding, Operations, and Research, National Maritime Research Center, 1985.

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Andrews, Aaron K. Computer and optical simulations of radar imaging systems. 1994.

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D, Phillips James, and Ames Research Center, eds. A computational method to model radar return range in a polygonally based, computer-generated-imagery simulation. National Aeronautics and Space Administration, Ames Research Center, 1986.

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Book chapters on the topic "Radar – Simulation methods"

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Yuan, Xin, and Qing Li. "A Filtering Method of Laser Radar Imaging Based on Classification of Curvature." In Theory, Methodology, Tools and Applications for Modeling and Simulation of Complex Systems. Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-2666-9_25.

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Wang, Bo, Yong Zhang, Lang Zhou, and Mei Xiang. "The Evaluation and Simulation of Radar Separation Based on Reference System Comparison Method." In Lecture Notes in Electrical Engineering. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-6571-2_156.

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Yan, Wei, Miao Li, Jipeng Liu, Junyong Shan, and Zenghui Chen. "Thermal Reliability Simulation Analysis of Vehicle-Mounted Radar T/R Module Based on Physics of Failure Method." In Lecture Notes in Electrical Engineering. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-32-9441-7_24.

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Kumlu, Deniz, and Isin Erer. "Clutter Removal Techniques in Ground Penetrating Radar for Landmine Detection." In Operations Research for Military Organizations. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-5513-1.ch016.

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Ground-penetrating radar (GPR) is a popular technique for landmine detection and widely used by military organizations for landmine clearance purposes. It is well known that GPR is greatly affected by clutter during the landmine detection process. The clutter can be reasoned by soil properties, depth of the buried landmine, different surface types, and ingredient of landmine materials. Thus, the detection of landmine becomes challenging, and clutter removal algorithm must be applied prior to any landmine detection scheme in GPR. In order to remove clutter, various algorithms are proposed, and they can be mainly separated into two groups such subspace-based methods and multiresolution-based methods. This chapter focuses on the performance analysis of these clutter removal algorithms on the simulated dataset that is created by using the gprMax simulation software where it contains four different challenging scenarios.
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Zarai, Khaireddine, and Adnan Cherif. "Improved Multi Target Tracking in MIMO Radar System Using New Hybrid Monte Carlo–PDAF Algorithm." In Ubiquitous Computing [Working Title]. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.95948.

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This article deals with the multi-target tracking problem (MTT) in MIMO radar systems. As a result, this problem is now seen as a new technological challenge. Thus, in different tracking scenarios, measurements from sensors are usually subject to a complex data association issue. The MTT data association problem of assigning measurements-to-target or target-state-estimates becomes more complex in MIMO radar system, once the crossing target tracking scenario arises, hence the interference phenomenon may interrupt the received signal and miss the state estimation process. To avoid most of these problems, we have improved a new hybrid algorithm based on particle filter called “Monte Carlo” associated to Joint Probabilistic data Association filter (JPDAF), the whole approach named MC-JPDAF algorithm has been proposed to replace the traditional method as is known by the Extended KALMAN filter (EKF) combined with JPDAF method, such as EKF-JPDAF algorithm. The obtained experimental results showed a challenging remediation. Where, the MC-JPDAF converges towards the accurate state estimation. Thus, more efficient than EKF-JPDAF. The simulation results prove that the designed system meets the objectives set for MC-JPDA by referring to an experimental database using the MATLAB Software Development Framework.
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Kataka Banaseka, Frank, Kofi Sarpong Adu-Manu, Godfred Yaw Koi-Akrofi, and Selasie Aformaley Brown. "Signal Propagation in Soil Medium: A Two Dimensional Finite Element Procedure." In Electromagnetic Compatibility [Working Title]. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.99333.

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A two-Dimensional Finite Element Method of electromagnetic (EM) wave propagation through the soil is presented in this chapter. The chapter employs a boundary value problem (BVP) to solve the Helmholtz time-harmonic electromagnetic model. An infinitely large dielectric object of an arbitrary cross-section is considered for scattering from a dielectric medium and illuminated by an incident wave. Since the domain extends to infinity, an artificial boundary, a perfectly matched layer (PML) is used to truncate the computational domain. The incident field, the scattered field, and the total field in terms of the z-component are expressed for the transverse magnetic (TM) and transverse electric (TE) modes. The radar cross-section (RCS), as a function of several other parameters, such as operating frequency, polarization, illumination angle, observation angle, geometry, and material properties of the medium, is computed to describe how a scatterer reflects an electromagnetic wave in a given direction. Simulation results obtained from MATLAB for the scattered field, the total field, and the radar cross-section are presented for three soil types – sand, loam, and clay.
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Conference papers on the topic "Radar – Simulation methods"

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Ahmetzyanova, Alina, and El'vira Latypova. "RADAR DETECTION METHODS BIO OBJECTS." In CAD/EDA/SIMULATION IN MODERN ELECTRONICS 2019. Bryansk State Technical University, 2019. http://dx.doi.org/10.30987/conferencearticle_5e0282100af2e7.90674130.

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Rudiakova, A. N., R. B. Sinitsyn, and F. J. Yanovsky. "Copula simulation of weather radar inputs." In 2016 IEEE International Conference on Mathematical Methods in Electromagnetic Theory (MMET). IEEE, 2016. http://dx.doi.org/10.1109/mmet.2016.7544129.

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Yanovsky, F. J., and A. A. Pitertsev. "Refined models and numerical simulation of polarimetrie radar signals scatterred by various types of hydrometeors." In 2016 IEEE Radar Methods and Systems Workshop (RMSW). IEEE, 2016. http://dx.doi.org/10.1109/rmsw.2016.7778548.

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Szafranski, Mateusz, Adam Kawalec, and Andrzej Dukata. "Modelling Carbon Nanotube coated structures. Comparison of simulation methods." In 2016 21st International Conference on Microwave, Radar and Wireless Communications (MIKON). IEEE, 2016. http://dx.doi.org/10.1109/mikon.2016.7492060.

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Wang Bin, Wang Yanping, Hong Wen, and Wu Yirong. "Simulation research of parametric methods for multi-baseline SAR tomography." In 2007 1st Asian and Pacific Conference on Synthetic Aperture Radar. IEEE, 2007. http://dx.doi.org/10.1109/apsar.2007.4418589.

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Los’, A. P. "BUILDING A MODEL OF A SIMULATOR OF A RADAR SIGNAL REFLECTED FROM A SHIP (VESSEL) DURING A FULL-SCALE SIMULATION." In RADIO, OPTICAL AND BIOTECHNICAL SYSTEMS. DEVICES AND METHODS OF INFORMATION PROCESSING. St. Petersburg State University of Aerospace Instrumentation, 2020. http://dx.doi.org/10.31799/978-5-8088-1451-6-2020-1-64-67.

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Wang, Guo-liang, Dong-lin Su, Yan-li Zhao, Xiang-dong Gao, and Dong-ning Di. "Study on time-sharing methods for hardware-in-the-loop radar netting simulation." In 2008 8th International Symposium on Antennas, Propagation and EM Theory. IEEE, 2008. http://dx.doi.org/10.1109/isape.2008.4735454.

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Hossain, Md Afzal, Zamil Uddin Faysal, Md Shamaun Sobhan, and Fatema Oshin Ara. "Implementation and verification of simulation methods to determine Radar Cross Section of simple targets." In 2014 International Conference on Electrical Engineering and Information & Communication Technology (ICEEICT). IEEE, 2014. http://dx.doi.org/10.1109/iceeict.2014.6919130.

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Teggatz, A., A. Joestingmeier, T. Meyer, and A. S. Omar. "Simulation of a ground penetrating radar environment by means of FDTD methods using an automatic control approach." In IEEE Antennas and Propagation Society Symposium, 2004. IEEE, 2004. http://dx.doi.org/10.1109/aps.2004.1330622.

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Do, Nguyen B., Aldo A. Ferri, and Olivier Bauchau. "Efficient Simulation of a Dynamic System With LuGre Friction." In ASME 2005 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2005. http://dx.doi.org/10.1115/detc2005-85339.

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Friction is a difficult phenomenon to model and simulate. One promising friction model is the LuGre model, which captures key frictional behavior from experiments and from other friction laws. While displaying many modeling advantages, the LuGre model of friction can result in numerically stiff system dynamics. In particular, the LuGre friction model exhibits very slow dynamics during periods of sticking and very fast dynamics during periods of slip. This paper investigates the best simulation strategies for application to dynamic systems with LuGre friction. Several simulation strategies are applied including the explicit Runge-Kutta, implicit Trapezoidal, and implicit Radau-IIA schemes. It was found that both the Runge-Kutta and Radau-IIA methods performed well in simulating the system. The Runge-Kutta method had better accuracy, but the Radau-IIA method required less integration steps.
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