Compressed Sensing In Radar Signal Processing
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Compressed Sensing In Radar Signal Processing
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Author : Antonio De Maio
language : en
Publisher: Cambridge University Press
Release Date : 2019-10-17
Compressed Sensing In Radar Signal Processing written by Antonio De Maio and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-17 with Technology & Engineering categories.
Learn about the most recent theoretical and practical advances in radar signal processing using tools and techniques from compressive sensing. Providing a broad perspective that fully demonstrates the impact of these tools, the accessible and tutorial-like chapters cover topics such as clutter rejection, CFAR detection, adaptive beamforming, random arrays for radar, space-time adaptive processing, and MIMO radar. Each chapter includes coverage of theoretical principles, a detailed review of current knowledge, and discussion of key applications, and also highlights the potential benefits of using compressed sensing algorithms. A unified notation and numerous cross-references between chapters make it easy to explore different topics side by side. Written by leading experts from both academia and industry, this is the ideal text for researchers, graduate students and industry professionals working in signal processing and radar.
Compressive Sensing For Urban Radar
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Author : Moeness Amin
language : en
Publisher: CRC Press
Release Date : 2017-12-19
Compressive Sensing For Urban Radar written by Moeness Amin and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-12-19 with Technology & Engineering categories.
With the emergence of compressive sensing and sparse signal reconstruction, approaches to urban radar have shifted toward relaxed constraints on signal sampling schemes in time and space, and to effectively address logistic difficulties in data acquisition. Traditionally, these challenges have hindered high resolution imaging by restricting both bandwidth and aperture, and by imposing uniformity and bounds on sampling rates. Compressive Sensing for Urban Radar is the first book to focus on a hybrid of two key areas: compressive sensing and urban sensing. It explains how reliable imaging, tracking, and localization of indoor targets can be achieved using compressed observations that amount to a tiny percentage of the entire data volume. Capturing the latest and most important advances in the field, this state-of-the-art text: Covers both ground-based and airborne synthetic aperture radar (SAR) and uses different signal waveforms Demonstrates successful applications of compressive sensing for target detection and revealing building interiors Describes problems facing urban radar and highlights sparse reconstruction techniques applicable to urban environments Deals with both stationary and moving indoor targets in the presence of wall clutter and multipath exploitation Provides numerous supporting examples using real data and computational electromagnetic modeling Featuring 13 chapters written by leading researchers and experts, Compressive Sensing for Urban Radar is a useful and authoritative reference for radar engineers and defense contractors, as well as a seminal work for graduate students and academia.
Sparse Representations For Radar With Matlab Examples
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Author : Peter Knee
language : en
Publisher: Springer Nature
Release Date : 2022-05-31
Sparse Representations For Radar With Matlab Examples written by Peter Knee and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-31 with Technology & Engineering categories.
Although the field of sparse representations is relatively new, research activities in academic and industrial research labs are already producing encouraging results. The sparse signal or parameter model motivated several researchers and practitioners to explore high complexity/wide bandwidth applications such as Digital TV, MRI processing, and certain defense applications. The potential signal processing advancements in this area may influence radar technologies. This book presents the basic mathematical concepts along with a number of useful MATLAB® examples to emphasize the practical implementations both inside and outside the radar field. Table of Contents: Radar Systems: A Signal Processing Perspective / Introduction to Sparse Representations / Dimensionality Reduction / Radar Signal Processing Fundamentals / Sparse Representations in Radar
2015 3rd International Workshop On Compressed Sensing Theory And Its Applications To Radar Sonar And Remote Sensing Cosera
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Author : IEEE Staff
language : en
Publisher:
Release Date : 2015-06-17
2015 3rd International Workshop On Compressed Sensing Theory And Its Applications To Radar Sonar And Remote Sensing Cosera written by IEEE Staff and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-06-17 with categories.
The aim of CoSeRa is to bring experts of Compressive Sensing (CS) and radar sonar signal processing and remote sensing together to explore the state of the art in development of CS techniques for different Radar SAR Sonar IR applications and to turn out its advantages or possible drawbacks compared to classical solutions
Sparse Representations For Radar With Matlab Examples
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Author : Peter Knee
language : en
Publisher: Morgan & Claypool Publishers
Release Date : 2012-10-01
Sparse Representations For Radar With Matlab Examples written by Peter Knee and has been published by Morgan & Claypool Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-10-01 with Technology & Engineering categories.
Although the field of sparse representations is relatively new, research activities in academic and industrial research labs are already producing encouraging results. The sparse signal or parameter model motivated several researchers and practitioners to explore high complexity/wide bandwidth applications such as Digital TV, MRI processing, and certain defense applications. The potential signal processing advancements in this area may influence radar technologies. This book presents the basic mathematical concepts along with a number of useful MATLAB® examples to emphasize the practical implementations both inside and outside the radar field. Table of Contents: Radar Systems: A Signal Processing Perspective / Introduction to Sparse Representations / Dimensionality Reduction / Radar Signal Processing Fundamentals / Sparse Representations in Radar
2016 4th International Workshop On Compressed Sensing Theory And Its Applications To Radar Sonar And Remote Sensing Cosera Took Place 19 23 September 2016 In Aachen Germany
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Author :
language : en
Publisher:
Release Date : 2016
2016 4th International Workshop On Compressed Sensing Theory And Its Applications To Radar Sonar And Remote Sensing Cosera Took Place 19 23 September 2016 In Aachen Germany written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with categories.
Topics In Radar Signal Processing
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Author : Graham Weinberg
language : en
Publisher: BoD – Books on Demand
Release Date : 2018-05-16
Topics In Radar Signal Processing written by Graham Weinberg and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-05-16 with Technology & Engineering categories.
Radar has been an important topic since its introduction, in a military context, during World War II. Due to advances in technology, it has been necessary to refine the algorithms employed within the signal processing architecture. Hence, this book provides a series of chapters examining some topics in modern radar signal processing. These include synthetic aperture radar, multiple-input multiple-output radar, as well as a series of chapters examining other key issues relevant to the central theme of the book.
Sparsity Based Multipath Exploitation For Through The Wall Radar Imaging
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Author : Michael Leigsnering
language : en
Publisher: Springer
Release Date : 2018-02-16
Sparsity Based Multipath Exploitation For Through The Wall Radar Imaging written by Michael Leigsnering and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-02-16 with Technology & Engineering categories.
This thesis reports on sparsity-based multipath exploitation methods for through-the-wall radar imaging. Multipath creates ambiguities in the measurements provoking unwanted ghost targets in the image. This book describes sparse reconstruction methods that are not only suppressing the ghost targets, but using multipath to one’s advantage. With adopting the compressive sensing principle, fewer measurements are required for image reconstruction as compared to conventional techniques. The book describes the development of a comprehensive signal model and some associated reconstruction methods that can deal with many relevant scenarios, such as clutter from building structures, secondary reflections from interior walls, as well as stationary and moving targets, in urban radar imaging. The described methods are evaluated here using simulated as well as measured data from semi-controlled laboratory experiments.
Advanced Sparsity Driven Models And Methods For Radar Applications
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Author : Gang Li
language : en
Publisher: SciTech Publishing
Release Date : 2020-12-03
Advanced Sparsity Driven Models And Methods For Radar Applications written by Gang Li and has been published by SciTech Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-03 with Technology & Engineering categories.
This book introduces advanced sparsity-driven models and methods and their applications in radar tasks such as detection, imaging and classification. Compressed sensing (CS) is one of the most active topics in the signal processing area. By exploiting and promoting the sparsity of the signals of interest, CS offers a new framework for reducing data without compromising the performance of signal recovery, or for enhancing resolution without increasing measurements.
Academic Press Library In Signal Processing Volume 7
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Author :
language : en
Publisher: Academic Press
Release Date : 2017-12-13
Academic Press Library In Signal Processing Volume 7 written by and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-12-13 with Technology & Engineering categories.
Academic Press Library in Signal Processing, Volume 7: Array, Radar and Communications Engineering is aimed at university researchers, post graduate students and R&D engineers in the industry, providing a tutorial-based, comprehensive review of key topics and technologies of research in Array and Radar Processing, Communications Engineering and Machine Learning. Users will find the book to be an invaluable starting point to their research and initiatives. With this reference, readers will quickly grasp an unfamiliar area of research, understand the underlying principles of a topic, learn how a topic relates to other areas, and learn of research issues yet to be resolved. Presents a quick tutorial of reviews of important and emerging topics of research Explores core principles, technologies, algorithms and applications Edited and contributed by international leading figures in the field Includes comprehensive references to journal articles and other literature upon which to build further, more detailed knowledge