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However, due to the huge computational complexity needed, the existing sparse SAR imaging methods, such as conventional observation matrix-based and azimuth-range decouple-based algorithms, are not able to achieve real-time processing, especially for the large-scale scenes, which seriously restricts its application in some fields, e.g., real-time monitoring and early warning. Selecionar previamente, na Área Cliente, as moradas habituais de envio e de faturação; Não incluir artigos escolares na encomenda. To solve this problem, this article presents a novel real-time sparse SAR imaging method, which can get a similar image performance to that obtained by the existing sparse imaging methods, to reduce the computational complexity to the same order as that required by matched filtering (MF)-based algorithms. among different channels should be sparse, and as a result DCS is applicable. ; Mat, Kamarulzaman; Samsuzzaman, Md. Caso pretenda colocar alguma questão sobre o artigo deverá fazê-lo através do Centro de Contacto. Even if the two-dimensional data is processed directly after 2-D decoupling, due to the huge data. to recover and the observation system as the measurement system, and then achieve some under-sampling, the performance of measurement matrix and mak. A SAR is subject to phase errors across the aperture due to fluctuations in atmospheric refractive index caused by turbulence in the region between the aircraft position and the mapped terrain. bistatic slant range history in FMCW SAR configuration, where the motion during the long pulse duration is taken into account. greedy algorithms are derived, such as the stagewise OMP (StOMP) [99], the gradient pursuit [100]. Engineers and scientists working in the field of remote sensing, but who do not have experience with SAR imaging, will find an easy entrance into what can seem at times a very complicated subject. and sampling constraint conditions, and discussed its applicability via simulations. methods, with the traditional range-Doppler algorithm as comparison. The sampling interval changes randomly from one sample to the next in a random sampling scheme. In section 2, two-dimensional imaging systems will be discussed. It not only provides super-resolution performance, but also reduces the storage of data acquisition and processing. Other nonlinear FM waveforms can also be applied in sparse microwave imaging. You seem to have javascript disabled. Experienced radar engineers will find that the book describes several modern areas of SAR pr. Wide angle synthetic aperture radar (WSAR) refer, angle SAR for the anisotropic of targets. This ambiguity reduction approach can be applied to r, As a research focus of recent years, the sparse signal pr. factor contributes to the effectiveness of R. sparse microwave imaging method mentioned in [118,138]. In this article, we review the basic components and data interpretation of microwave imaging and its broad range of applications. IEEE Transactions on Geoscience and Remote Sensing. Finally, due to the nondifferentiable property of reconstructed objective function, this article utilizes the iterative reweighted norm (IRN) method. If the change in scene during various observations is not significant or abroad, the innov. The major imaging systems that are in use today for remote sensing of the sea will be described, e.g. is a full professor in the Department of Electrical, Electronic, Telecommunications Engineering and Naval Architecture at the University of Genoa, where he earned his Ph.D. in electronic and computer engineering. Edited and authored by leading researchers in the field of MIMO radar research, this book introduces recent developments in the area of MIMO radar to stimulate new concepts, theories, and applications of the topic, and to foster further cross-fertilization of ideas with MIMO communications. at fast and accurate measurements of the scattered field data, Insight varies in range and azimuth directions, so the system measurement matrix has a low mutual coherence. Sensors 20, no. targets such as ships, aircrafts, and space objects with high resolutio, In [29], CS based ISAR technique is applied to image TIRA (trac. Microwave Imaging Methods and Applications provides practitioners and researchers with a complete overview of the latest and most important noninvasive and nondestructive techniques for inspecting structures and bodies by using microwaves. FMCW SAR Sparse Imaging Based on Approximated Observation: An Overview on Current Technologies, Efficient Parameter Estimation for Sparse SAR Imaging Based on Complex Image and Azimuth-Range Decouple, IEEE TRANSACTIONS GEOSCIENCE AND REMOTE SENSING 1 A Iteratively Reweighted Proximal-Based P-Norm Regularization to Super-Resolution in SAR Tomography, Ground Moving Target Tracking and Refocusing Using Shadow in Video-SAR, An Azimuth Ambiguity Suppression Method Based on Local Azimuth Ambiguity-to-Signal Ratio Estimation, A TV Forward-Looking Super-Resolution Imaging Method Based on TSVD Strategy for Scanning Radar, From Theory to Application: Real-Time Sparse SAR Imaging, Real-Time Data Processing in Sparse SAR Imaging, Improved Adaptive Parameter Estimation for Sparse SAR Imaging Based on Complex Image and Azimuth-Range Decouple, Sub-Image Blocks Based Joint Sparse Reconstruction Algorithm for Multi-Pass SAR Images Feature Enhancement, Spotlight-Mode Synthetic Aperture Radar: A Signal Processing Approach, SparseSENSE: application of compressed sensing in parallel MRI, Three-dimensional imaging algorithm for spiral synthetic aperture radar, Polar Format Algorithm for Circular Synthetic Aperture Radar, Surface-penetrating radar-IEE Radar, Sonar Navigation and Avionics Series, Bistatic FMCW SAR signal model and imaging approach, Introduction to Microwave Active Techniques and Backscatter Properties. Due to its potential to improve target detection and discrimination capability, Multiple-Input and Multiple-Output (MIMO) radar has generated significant attention and widespread interest in academia, industry, government labs, and funding agencies. Since shadows in video-SAR indicate the actual positions of moving targets at different moments without any displacement, shadow-based methods provide a new approach for ground moving target processing. also been broadly used in various radar related applications. * Salvo indicação em contrário, os descontos apresentados referem-se a promoções válidas para o dia 12-11-2020. Microwave imaging is often associated with radar detection such as target location and tracking, weather-pattern recognition, and underground surveillance, which are far-field applications. Including clear examples or the most significant practical results, this forward-looking reference focuses on systems that have been recently developed. Adicione à sua lista de desejos todos os produtos que deseja comprar mais tarde, envie-a aos seus amigos antes do Microwave Imaging for Biomedical Applications. In [163], the ISAR problem for uniformly rotation targets is solv, Ground penetrating radar (GPR) is an important ob, landmine detection, archaeological and other environmen, the ground surface by scanning the sensor over the interested region, transmitting short pulses and, signals, which brings difficulties to the data acquisition of GP, indicated that the CS based SFCW GPR had the super resolution ability compared to standard schema. BP has interesting relations to ideas in areas as diverse as ill-posed problems, in abstract harmonic analysis, total variation denoising, and multiscale edge denoising. Circular SAR (CSAR) takes a circular motion trace, ogy is also applied to SAR system [183], whic, gain, enables MIMO SAR system to improve the resolution and target identifiabilit, application of compressive sensing in traditional radar system to reduce the sampling rate, p, In [184], the authors pointed out that, in CS based MIMO radar, if the target signals, the compressive sensing technology could be used to reconstruct the scene in the azimuth-range-Doppler, tion could be applied to achieve super resolution with muc, the sensing matrix (CSM) and/or signal-to-in, proach to accurately estimate the parameters of mult, radar signal processing, and indicated that SLIM followed an, radar, and derived principle of CS MIMO imaging radar based on inverse scattering model instead of.

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