Methods And Techniques Of Radar Recognition
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Methods And Techniques Of Radar Recognition
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Author : Viktor Georgievich Nebabin
language : en
Publisher: Artech House Publishers
Release Date : 1995
Methods And Techniques Of Radar Recognition written by Viktor Georgievich Nebabin and has been published by Artech House Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with Technology & Engineering categories.
Here is a landmark radar reference that encompasses 25 years of critical radar recognition advances, and allows you fingertip access to information that has previously been unknown outside of Russia.
Adaptive Radar Detection Model Based Data Driven And Hybrid Approaches
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Author : Angelo Coluccia
language : en
Publisher: Artech House
Release Date : 2022-11-30
Adaptive Radar Detection Model Based Data Driven And Hybrid Approaches written by Angelo Coluccia and has been published by Artech House this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-11-30 with Technology & Engineering categories.
This book shows you how to adopt data-driven techniques for the problem of radar detection, both per se and in combination with model-based approaches. In particular, the focus is on space-time adaptive target detection against a background of interference consisting of clutter, possible jammers, and noise. It is a handy, concise reference for many classic (model-based) adaptive radar detection schemes as well as the most popular machine learning techniques (including deep neural networks) and helps you identify suitable data-driven approaches for radar detection and the main related issues. You’ll learn how data-driven tools relate to, and can be coupled or hybridized with, traditional adaptive detection statistics; understand fundamental concepts, schemes, and algorithms from statistical learning, classification, and neural networks domains. The book also walks you through how these concepts and schemes have been adapted for the problem of radar detection in the literature and provides you with a methodological guide for the design, illustrating different possible strategies. You’ll be equipped to develop a unified view, under which you can exploit the new possibilities of the data-driven approach even using simulated data. This book is an excellent resource for Radar professionals and industrial researchers, postgraduate students in electrical engineering and the academic community.
Micro Doppler Radar And Its Applications
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Author : Francesco Fioranelli
language : en
Publisher: SciTech Publishing
Release Date : 2020-07-20
Micro Doppler Radar And Its Applications written by Francesco Fioranelli and has been published by SciTech Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-20 with Technology & Engineering categories.
This book covers the latest developments in radar micro-Doppler signatures and non-cooperative recognition of moving targets, for researchers and advanced students of radar systems. Micro-Doppler signatures is a very broad topic with applications in healthcare, security and surveillance. Edited by leading researchers in the field, the book consists of a series of chapters with contributions from different groups of authors who are international experts on their topics.
Methods And Techniques In Deep Learning
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Author : Avik Santra
language : en
Publisher: John Wiley & Sons
Release Date : 2022-11-21
Methods And Techniques In Deep Learning written by Avik Santra and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-11-21 with Technology & Engineering categories.
Methods and Techniques in Deep Learning Introduces multiple state-of-the-art deep learning architectures for mmWave radar in a variety of advanced applications Methods and Techniques in Deep Learning: Advancements in mmWave Radar Solutions provides a timely and authoritative overview of the use of artificial intelligence (AI)-based processing for various mmWave radar applications. Focusing on practical deep learning techniques, this comprehensive volume explains the fundamentals of deep learning, reviews cutting-edge deep metric learning techniques, describes different typologies of reinforcement learning (RL) algorithms, highlights how domain adaptation (DA) can be used for improving the performance of machine learning (ML) algorithms, and more. Throughout the book, readers are exposed to product-ready deep learning solutions while learning skills that are relevant for building any industrial-grade, sensor-based deep learning solution. A team of authors with more than 70 filed patents and 100 published papers on AI and sensor processing illustrates how deep learning is enabling a range of advanced industrial, consumer, and automotive applications of mmWave radars. In-depth chapters cover topics including multi-modal deep learning approaches, the elemental blocks required to formulate Bayesian deep learning, how domain adaptation (DA) can be used for improving the performance of machine learning algorithms, and geometric deep learning are used for processing point clouds. In addition, the book: Discusses various advanced applications and how their respective challenges have been addressed using different deep learning architectures and algorithms Describes deep learning in the context of computer vision, natural language processing, sensor processing, and mmWave radar sensors Demonstrates how deep parametric learning reduces the number of trainable parameters and improves the data flow Presents several human-machine interface (HMI) applications such as gesture recognition, human activity classification, human localization and tracking, in-cabin automotive occupancy sensing Methods and Techniques in Deep Learning: Advancements in mmWave Radar Solutions is an invaluable resource for industry professionals, researchers, and graduate students working in systems engineering, signal processing, sensors, data science, and AI.
Techniques And System Design Of Radar Active Jamming
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Author : Guangfu Tang
language : en
Publisher: Springer Nature
Release Date : 2023-02-20
Techniques And System Design Of Radar Active Jamming written by Guangfu Tang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-02-20 with Technology & Engineering categories.
This book serves as a handbook for radar active jamming system designers, in which design principles and methods are introduced in detail. The book starts from the basic concept and then discusses requirements analysis, type selection, key indicators description, and design methods of radar active jamming system and each subsystem step by step. The content is expressed in an intelligible way, and hence, it is easy to follow even for beginners in this area. Since the authors of this book are all experts and have designed plenty of real systems, their book certainly helps new engineers deal with different kinds of problems encountered while designing a radar active jamming system.
Principles Of Modern Radar
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Author : Mark A. Richards
language : en
Publisher: SciTech Publishing
Release Date : 2023-02-17
Principles Of Modern Radar written by Mark A. Richards and has been published by SciTech Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-02-17 with Technology & Engineering categories.
Principles of Modern Radar: Basic Principles is a comprehensive text for courses in radar systems and technology, a professional training textbook for formal in-house courses and for new hires; a reference for ongoing study following a radar short course and a self-study and professional reference book.
Radar Signal Processing For Autonomous Driving
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Author : Jonah Gamba
language : en
Publisher: Springer
Release Date : 2019-08-02
Radar Signal Processing For Autonomous Driving written by Jonah Gamba and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-08-02 with Technology & Engineering categories.
The subject of this book is theory, principles and methods used in radar algorithm development with a special focus on automotive radar signal processing. In the automotive industry, autonomous driving is currently a hot topic that leads to numerous applications for both safety and driving comfort. It is estimated that full autonomous driving will be realized in the next twenty to thirty years and one of the enabling technologies is radar sensing. This book presents both detection and tracking topics specifically for automotive radar processing. It provides illustrations, figures and tables for the reader to quickly grasp the concepts and start working on practical solutions. The complete and comprehensive coverage of the topic provides both professionals and newcomers with all the essential methods and tools required to successfully implement and evaluate automotive radar processing algorithms.
Ultra Wideband Radar Technology
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Author : James D. Taylor
language : en
Publisher: CRC Press
Release Date : 2018-10-03
Ultra Wideband Radar Technology written by James D. Taylor and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-03 with Technology & Engineering categories.
In 1995, James D. Taylor's Introduction to Ultra-Wideband Radar Systems introduced engineers to the theory behind a promising new concept for remote sensing. Since then, the field has undergone enormous growth with new applications realized and more applications conceptualized at a remarkable pace. However, understanding ultra-wideband (UWB) radar requires a new philosophical approach. Concepts such as radar cross section will have new meanings as range resolution becomes smaller than the target. Ultra-Wideband Radar Technology is a guide to the future of radar by an international team of experts. They present the problems, solutions, and examples of UWB radar remote sensing. Chapters discuss the theory and ideas for future systems development, and show the potential capabilities. The writers present concepts such as the differences between UWB and conventional radars, improving over-resolved target detection, receivers and waveforms, micropower systems, high power switching, and bistatic radar polarimetry. Finding comparable information elsewhere might require consulting hundreds of other books, technical journals, and symposium proceedings. Ultra-Wideband Radar Technology offers a unique opportunity to explore the theory, applications, and technology of UWB radar within a single source.
Atmospheric Technology
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Author :
language : en
Publisher:
Release Date : 1979
Atmospheric Technology written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1979 with Meteorology categories.
Computational Intelligence And Efficiency In Engineering Systems
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Author : Grzegorz Borowik
language : en
Publisher: Springer
Release Date : 2015-03-10
Computational Intelligence And Efficiency In Engineering Systems written by Grzegorz Borowik and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-03-10 with Technology & Engineering categories.
This carefully edited and reviewed volume addresses the increasingly popular demand for seeking more clarity in the data that we are immersed in. It offers excellent examples of the intelligent ubiquitous computation, as well as recent advances in systems engineering and informatics. The content represents state-of-the-art foundations for researchers in the domain of modern computation, computer science, system engineering and networking, with many examples that are set in industrial application context. The book includes the carefully selected best contributions to APCASE 2014, the 2nd Asia-Pacific Conference on Computer Aided System Engineering, held February 10-12, 2014 in South Kuta, Bali, Indonesia. The book consists of four main parts that cover data-oriented engineering science research in a wide range of applications: computational models and knowledge discovery; communications networks and cloud computing; computer-based systems; and data-oriented and software-intensive systems.