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Author: Mark A. Richards
Publisher: SciTech Publishing
ISBN: 9781839533815
Category : Technology & Engineering
Languages : en
Pages : 0
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Book Description
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.
Author: Mark A. Richards
Publisher: SciTech Publishing
ISBN: 9781839533815
Category : Technology & Engineering
Languages : en
Pages : 0
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Book Description
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.
Author: Amit Kumar Mishra
Publisher: SciTech Publishing
ISBN: 9781839531880
Category : Technology & Engineering
Languages : en
Pages : 250
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Book Description
Radar signals are one of the most challenging signals to process, because of the extreme signal to noise ratio and the dynamic range of the signals. This book gives readers an analysis of the various tools available to help better understand radar data, including coverage of new machine learning and statistical methods.
Author: Wulf-Dieter Wirth
Publisher: IET
ISBN: 0852967985
Category : Technology & Engineering
Languages : en
Pages : 490
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Book Description
Wirth (senior consultant, Research Establishment for Applied Science, Germany) introduces the techniques, procedures, and concepts related to modern radar using active array antennas. Chapters cover signal representation and mathematical tools, statistical signal theory, array antennas, beamforming, sampling and digitization of signals, pulse compression with polyphase codes, detection of targets by a pulse series, sequential detection, adaptive beamforming for jammer suppression, monopulse direction estimation, superresolution in angle, space-time adaptive processing, synthetic aperture radar with active phased arrays, inverse synthetic aperture radar, experimental phased array systems, the floodlight radar concept, and system and parameter considerations. Annotation copyrighted by Book News, Inc., Portland, OR
Author: Gaspare Galati
Publisher: Univ. Press of Mississippi
ISBN: 9780863411724
Category : Technology & Engineering
Languages : en
Pages : 1010
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Book Description
Collects the revised and updated versions of lectures presented at an advanced course on [title] held at the Accademia dei Lincei, Rome, 1988, as well as some additional chapters. The 13 chapters address basic concepts on detection, estimation, and optimum filtering; models of clutter; CFAR techniques in clutter; pulse compression and equivalent technologies; pulse doppler radar; MTI, MTD, and adaptive clutter cancellation; rejection of active interference; architecture and implementation of radar signal processors; identification of radar targets; phased arrays; bistatic radars; space-based radar; and evolution and future trends of radar. Primarily for radar engineers and researchers, as well as advanced students. Distributed by INSPEC. Annotation copyright by Book News, Inc., Portland, OR
Author: Avik Santra
Publisher: John Wiley & Sons
ISBN: 1119910676
Category : Technology & Engineering
Languages : en
Pages : 340
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Book Description
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.
Author: David Blacknell
Publisher: IET
ISBN: 1849196850
Category : Technology & Engineering
Languages : en
Pages : 292
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Book Description
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: Angelo Coluccia
Publisher: Artech House
ISBN: 1630819018
Category : Technology & Engineering
Languages : en
Pages : 235
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Book Description
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: Sevgi Zubeyde Gurbuz
Publisher: SciTech Publishing
ISBN: 1785618520
Category : Technology & Engineering
Languages : en
Pages : 419
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Book Description
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: Guangfu Tang
Publisher: Springer Nature
ISBN: 9811999449
Category : Technology & Engineering
Languages : en
Pages : 370
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Book Description
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.
Author: Stephen L. Johnston
Publisher:
ISBN:
Category : Technology & Engineering
Languages : en
Pages : 686
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Book Description
