Deep Learning For Radar And Communications Automatic Target Recognition

Author : Uttam K. Majumder,Erik P. Blasch,David A. Garren
Publisher : Artech House
Page : 290 pages
File Size : 54,5 Mb
Release : 2020-07-31
Category : Technology & Engineering
ISBN : 9781630816391

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Deep Learning for Radar and Communications Automatic Target Recognition by Uttam K. Majumder,Erik P. Blasch,David A. Garren Pdf

This authoritative resource presents a comprehensive illustration of modern Artificial Intelligence / Machine Learning (AI/ML) technology for radio frequency (RF) data exploitation. It identifies technical challenges, benefits, and directions of deep learning (DL) based object classification using radar data, including synthetic aperture radar (SAR) and high range resolution (HRR) radar. The performance of AI/ML algorithms is provided from an overview of machine learning (ML) theory that includes history, background primer, and examples. Radar data issues of collection, application, and examples for SAR/HRR data and communication signals analysis are discussed. In addition, this book presents practical considerations of deploying such techniques, including performance evaluation, energy-efficient computing, and the future unresolved issues.

Author : Bruce Jay Schachter
Publisher : Unknown
Page : 0 pages
File Size : 42,5 Mb
Release : 2018
Category : Algorithms
ISBN : 1510618562

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Automatic Target Recognition by Bruce Jay Schachter Pdf

"This third edition of Automatic Target Recognition provides a roadmap for breakthrough ATR designs with increased intelligence, performance, and autonomy. Clear distinctions are made between military problems and comparable commercial Deep Learning problems. These considerations need to be understood by ATR engineers working in the defense industry as well as by their government customers. A reference design is provided for a next-generation ATR that can continuously learn from and adapt to its environment. The convergence of diverse forms of data on a single platform supports new capabilities and improved performance. This third edition broadens the notion of ATR to multisensor fusion. Radical continuous-learning ATR architectures, better integration of data sources, well-packaged sensors, and low-power teraflop chips will enable transformative military designs"--

Author : Bruce Jay Schachter
Publisher : Unknown
Page : 128 pages
File Size : 41,7 Mb
Release : 2020
Category : Algorithms
ISBN : 1510631194

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Automatic Target Recognition by Bruce Jay Schachter Pdf

"From an engineer designing Automatic Target Recognition (ATR) systems for 40 years, comes this step-by-step guide to producing state-of-the-art ATR systems. The full spectrum of ATR designs are covered, from systems that just suggest targets to the warfighter to ATRs that could serve as the "brains" of lethal autonomous robots. Unfortunately, when it comes to ATR, some practitioners claim that their off-the-shelf canned algorithms magically leap from academic research to deployment with scant domain knowledge or system engineering. Deep learning is marketed more than deep understanding, deep explainability or deep fusion of on-platform resources. Naïve practitioners twist a few algorithmic knobs, and test on data of uncertain virtue, until performance seems superb. Unfortunately, with the enemy and ever changing environment conspiring to defeat detection and recognition, naively designed ATRs can fail in unexpected and spectacular ways. Trustworthy ATRs need to fuse multiple data and metadata sources, continuously learn from and adapt to their environment, interact with humans in natural language, and deal with in-library and out-of-library targets and confusor objects. This book provides a blueprint for smarter, more autonomous, more sophisticated ATR designs"--

Author : Avik Santra,Souvik Hazra
Publisher : Artech House
Page : 358 pages
File Size : 46,6 Mb
Release : 2020-09-30
Category : Technology & Engineering
ISBN : 9781630817473

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Deep Learning Applications of Short-Range Radars by Avik Santra,Souvik Hazra Pdf

This exciting new resource covers various emerging applications of short range radars, including people counting and tracking, gesture sensing, human activity recognition, air-drawing, material classification, object classification, vital sensing by extracting features such as range-Doppler Images (RDI), range-cross range images, Doppler Spectrogram or directly feeding raw ADC data to the classifiers. The book also presents how deep learning architectures are replacing conventional radar signal processing pipelines enabling new applications and results. It describes how deep convolutional neural networks (DCNN), long-short term memory (LSTM), feedforward networks, regularization, optimization algorithms, connectionist This exciting new resource presents emerging applications of artificial intelligence and deep learning in short-range radar. The book covers applications ranging from industrial, consumer space to emerging automotive applications. The book presents several human-machine interface (HMI) applications, such as gesture recognition and sensing, human activity classification, air-writing, material classification, vital sensing, people sensing, people counting, people localization and in-cabin automotive occupancy and smart trunk opening. The underpinnings of deep learning are explored, outlining the history of neural networks and the optimization algorithms to train them. Modern deep convolutional neural network (DCNN), popular DCNN architectures for computer vision and their features are also introduced. The book presents other deep learning architectures, such as long-short term memory (LSTM), auto-encoders, variational auto-encoders (VAE), and generative adversarial networks (GAN). The application of human activity recognition as well as the application of air-writing using a network of short-range radars are outlined. This book demonstrates and highlights how deep learning is enabling several advanced industrial, consumer and in-cabin applications of short-range radars, which weren't otherwise possible. It illustrates various advanced applications, their respective challenges, and how they are been addressed using different deep learning architectures and algorithms.

Author : Fouad Sabry
Publisher : One Billion Knowledgeable
Page : 188 pages
File Size : 42,9 Mb
Release : 2023-07-04
Category : Computers
ISBN : PKEY:6610000474172

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Automatic Target Recognition by Fouad Sabry Pdf

What Is Automatic Target Recognition The capacity of an algorithm or device to detect targets or other objects based on data acquired from sensors is referred to as automatic target recognition, abbreviated as ATR. How You Will Benefit (I) Insights, and validations about the following topics: Chapter 1: Automatic target recognition Chapter 2: Computer vision Chapter 3: Radar Chapter 4: Synthetic-aperture radar Chapter 5: Beamforming Chapter 6: Pulse-Doppler radar Chapter 7: Inverse synthetic-aperture radar Chapter 8: Radar signal characteristics Chapter 9: Time delay neural network Chapter 10: Track algorithm (II) Answering the public top questions about automatic target recognition. (III) Real world examples for the usage of automatic target recognition in many fields. (IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of automatic target recognition' technologies. Who This Book Is For Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of automatic target recognition.

Author : Bruce Jay Schachter
Publisher : Unknown
Page : 330 pages
File Size : 42,6 Mb
Release : 2018
Category : Algorithms
ISBN : 1510618570

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Automatic Target Recognition by Bruce Jay Schachter Pdf

"This third edition of Automatic Target Recognition provides a roadmap for breakthrough ATR designs with increased intelligence, performance, and autonomy. Clear distinctions are made between military problems and comparable commercial Deep Learning problems. These considerations need to be understood by ATR engineers working in the defense industry as well as by their government customers. A reference design is provided for a next-generation ATR that can continuously learn from and adapt to its environment. The convergence of diverse forms of data on a single platform supports new capabilities and improved performance. This third edition broadens the notion of ATR to multisensor fusion. Radical continuous-learning ATR architectures, better integration of data sources, well-packaged sensors, and low-power teraflop chips will enable transformative military designs"--

Author : Firooz Sadjadi,Bahram Javidi
Publisher : Springer Science & Business Media
Page : 269 pages
File Size : 52,8 Mb
Release : 2007-09-04
Category : Science
ISBN : 9780387369433

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Physics of Automatic Target Recognition by Firooz Sadjadi,Bahram Javidi Pdf

This book examines the roles of sensors, physics–based attributes, classification methods, and performance evaluation in automatic target recognition. It details target classification from small mine–like objects to large tactical vehicles. Also explored in the book are invariants of sensor and transmission transformations, which are crucial in the development of low latency and computationally manageable automatic target recognition systems.

Author : David Blacknell,Hugh Griffiths
Publisher : IET
Page : 292 pages
File Size : 47,5 Mb
Release : 2013-08-23
Category : Technology & Engineering
ISBN : 9781849196857

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Radar Automatic Target Recognition (ATR) and Non-Cooperative Target Recognition (NCTR) by David Blacknell,Hugh Griffiths Pdf

Radar Automatic Target Recognition (ATR) and NonCooperative Target Recognition (NCTR) captures material presented by leading international experts at a NATO lecture series and explores both the fundamentals of classification techniques applied to data from a variety of radar modes and selected advanced techniques at the forefront of research. The ability to detect and locate targets by day or night, over wide areas, regardless of weather conditions has long made radar a key sensor in many military and civil applications. However, the ability to automatically and reliably distinguish different targets represents a difficult challenge, although steady progress has been made over the past couple of decades. This book explores both the fundamentals of classification techniques applied to data from a variety of radar modes and selected advanced techniques at the forefront of research. Topics include: the problem as applied to the ground, air and maritime domains; impact of image quality on the overall target recognition performance; performance of different approaches to the classifier algorithm; improvement in performance to be gained when a target can be viewed from more than one perspective; ways in which natural systems perform target recognition; impact of compressive sensing; advances in change detection, including coherent change detection; and challenges and directions for future research.

Author : Sevgi Zubeyde Gurbuz
Publisher : SciTech Publishing
Page : 419 pages
File Size : 51,7 Mb
Release : 2020-12-31
Category : Technology & Engineering
ISBN : 9781785618529

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Deep Neural Network Design for Radar Applications by Sevgi Zubeyde Gurbuz Pdf

Novel deep learning approaches are achieving state-of-the-art accuracy in the area of radar target recognition, enabling applications beyond the scope of human-level performance. This book provides an introduction to the unique aspects of machine learning for radar signal processing that any scientist or engineer seeking to apply these technologies ought to be aware of.

Author : Fouad Sabry
Publisher : One Billion Knowledgeable
Page : 193 pages
File Size : 51,9 Mb
Release : 2024-05-04
Category : Computers
ISBN : PKEY:6610000559367

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Automatic Target Recognition by Fouad Sabry Pdf

What is Automatic Target Recognition The capacity of an algorithm or device to recognize targets or other objects based on data acquired from sensors is referred to as automatic target recognition, an abbreviation for these capabilities. How you will benefit (I) Insights, and validations about the following topics: Chapter 1: Automatic Target Recognition Chapter 2: Computer Vision Chapter 3: Radar Chapter 4: Doppler Radar Chapter 5: Synthetic-aperture Radar Chapter 6: Imaging Radar Chapter 7: Beamforming Chapter 8: Pulse-Doppler Radar Chapter 9: Passive Radar Chapter 10: Inverse Synthetic-aperture Radar (II) Answering the public top questions about automatic target recognition. (III) Real world examples for the usage of automatic target recognition in many fields. Who this book is for Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of Automatic Target Recognition.

Author : Anonim
Publisher : Unknown
Page : 438 pages
File Size : 53,7 Mb
Release : 2007
Category : Image processing
ISBN : UOM:39015047306470

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Automatic Target Recognition by Anonim Pdf

Author : Karen Haigh,Julia Andrusenko
Publisher : Artech House
Page : 288 pages
File Size : 44,7 Mb
Release : 2021-07-31
Category : Technology & Engineering
ISBN : 9781630818128

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Cognitive Electronic Warfare: An Artificial Intelligence Approach by Karen Haigh,Julia Andrusenko Pdf

This comprehensive book gives an overview of how cognitive systems and artificial intelligence (AI) can be used in electronic warfare (EW). Readers will learn how EW systems respond more quickly and effectively to battlefield conditions where sophisticated radars and spectrum congestion put a high priority on EW systems that can characterize and classify novel waveforms, discern intent, and devise and test countermeasures. Specific techniques are covered for optimizing a cognitive EW system as well as evaluating its ability to learn new information in real time. The book presents AI for electronic support (ES), including characterization, classification, patterns of life, and intent recognition. Optimization techniques, including temporal tradeoffs and distributed optimization challenges are also discussed. The issues concerning real-time in-mission machine learning and suggests some approaches to address this important challenge are presented and described. The book covers electronic battle management, data management, and knowledge sharing. Evaluation approaches, including how to show that a machine learning system can learn how to handle novel environments, are also discussed. Written by experts with first-hand experience in AI-based EW, this is the first book on in-mission real-time learning and optimization.

Author : Gavin S. Hartnett,Lance Menthe,Jasmin Leveille,Damien Baveye,Li Ang Zhang,Dara Gold,Jeff Hagen,Jia Xu
Publisher : Unknown
Page : 44 pages
File Size : 48,6 Mb
Release : 2020-12
Category : Electronic
ISBN : 1977405959

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Operationally Relevant Artificial Training for Machine Learning by Gavin S. Hartnett,Lance Menthe,Jasmin Leveille,Damien Baveye,Li Ang Zhang,Dara Gold,Jeff Hagen,Jia Xu Pdf

Author : Angelo Coluccia
Publisher : Artech House
Page : 235 pages
File Size : 53,7 Mb
Release : 2022-11-30
Category : Technology & Engineering
ISBN : 9781630819019

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Adaptive Radar Detection: Model-Based, Data-Driven and Hybrid Approaches by Angelo Coluccia Pdf

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.

Author : Firooz A. Sadjadi
Publisher : SPIE-International Society for Optical Engineering
Page : 616 pages
File Size : 49,6 Mb
Release : 1998
Category : Adaptive signal processing
ISBN : 0819428205

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Automatic Target Recognition VIII by Firooz A. Sadjadi Pdf

This work explores automatic target recognition (ATR). It is divided into sections which look at topics such as: advanced systems for ATR, including airborne video surveillance; multisensor ATR; and adaptive and learning techniques for ATR.