Adaptive Radar Detection Model Based Data Driven And Hybrid Approaches
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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.
Radar And Ew Modeling In Matlab And Simulink
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Author : Carlos A. Dávila
language : en
Publisher: Artech House
Release Date : 2023-10-31
Radar And Ew Modeling In Matlab And Simulink written by Carlos A. Dávila and has been published by Artech House this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-31 with Technology & Engineering categories.
This resource covers basic concepts and modeling examples for the three “pillars” of EW: Electronic Attack (EA) systems, Electronic Protection (EP) techniques, and Electronic Support (ES). It develops techniques for the modeling and simulation (M&S) of modern radar and electronic warfare (EW) systems and reviews radar principles, including the radar equation. M&S techniques are introduced, and example models developed in MATLAB and Simulink are presented and discussed in detail. These individual models are combined to create a full end-to-end engineering engagement simulation between a pulse-Doppler radar and a target. The radar-target engagement model is extended to include jamming models and is used to illustrate the interaction between radar and jamming signals and the impact on radar detection and tracking. In addition, several classic EA techniques are introduced and modeled, and the effects on radar performance are explored. This book is a valuable resource for engineers, scientists, and managers who are involved in the design, development, or testing of radar and EW systems. It provides a comprehensive overview of the M&S techniques that are used in these systems, and the book's many examples and case studies provide a solid foundation for understanding how these techniques can be applied in practice.
Advances In Adaptive Radar Detection And Range Estimation
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Author : Chengpeng Hao
language : en
Publisher: Springer Nature
Release Date : 2021-12-03
Advances In Adaptive Radar Detection And Range Estimation written by Chengpeng Hao and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-03 with Technology & Engineering categories.
This book provides a comprehensive and systematic framework for the design of adaptive architectures, which take advantage of the available a priori information to enhance the detection performance. Moreover, this framework also provides guidelines to develop decision schemes capable of estimating the target position within the range bin. To this end, the readers are driven step-by-step towards those aspects that have to be accounted for at the design stage, starting from the exploitation of system and/or environment information up to the use of target energy leakage (energy spillover), which allows inferring on the target position within the range cell under test.In addition to design issues, this book presents an extensive number of illustrative examples based upon both simulated and real-recorded data. Moreover, the performance analysis is enriched by considerations about the trade-off between performances and computational requirements.Finally, this book could be a valuable resource for PhD students, researchers, professors, and, more generally, engineers working on statistical signal processing and its applications to radar systems.
Engineering Uas Applications Sensor Fusion Machine Vision And Mission Management
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Author : Jesús Garcia
language : en
Publisher: Artech House
Release Date : 2023-07-31
Engineering Uas Applications Sensor Fusion Machine Vision And Mission Management written by Jesús Garcia and has been published by Artech House this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-31 with Technology & Engineering categories.
Unmanned aerial systems (UAS) have evolved rapidly in recent years thanks to advances in microelectromechanical components, navigation, perception, and artificial intelligence, allowing for a fast development of autonomy. This book presents general approaches to develop, test, and evaluate critical functions such as navigation, obstacle avoidance and perception, and the capacity to improve performance in real and simulated scenarios. It provides the practical knowledge to install, analyze and evaluate UAS solutions working in real systems; illustrates how to use and configure complete platforms and software tools; and reviews the main enabling technologies applied to develop UAS, possibilities and evaluation methodology. You will get the tools you need to evaluate navigation and obstacle avoidance functions, object detection, and planning and landing alternatives in simulated conditions. The book also provides helpful guidance on the integration of additional sensors (video, weather, meteorological) and communication networks to build IoT solutions. This is an important book for practitioners and researchers interested in integrating advanced techniques in the fields of AI, sensor fusion and mission management, and anyone interest in applying and testing advanced algorithms in UAS platforms.
Adaptive Radar Detection And Estimation
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Author : Simon Haykin
language : en
Publisher: Wiley-Interscience
Release Date : 1992-04-15
Adaptive Radar Detection And Estimation written by Simon Haykin and has been published by Wiley-Interscience this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992-04-15 with Technology & Engineering categories.
Adaptive processing in a radar environment is necessary due to its inherently nonstable nature. A detailed mathematical treatment of the important issues in adaptive radar detection and estimation is offered. Since much of the material presented has not appeared in book form, you'll find this work fills an important gap in the known literature. Following an overview of the subject, contributors develop model-based techniques for the detection of radar targets in the presence of clutter; discuss minimum variance beamforming techniques; consider maximum likelihood bearing estimation in beamspace for an adaptive phased array radar; present an algorithm for angle-of-arrival estimation; and describe the method of multiple windows for spectrum estimation.
Knowledge Based Radar Detection Tracking And Classification
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Author : Fulvio Gini
language : en
Publisher: John Wiley & Sons
Release Date : 2008-06-09
Knowledge Based Radar Detection Tracking And Classification written by Fulvio Gini 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 2008-06-09 with Science categories.
Discover the technology for the next generation of radar systems Here is the first book that brings together the key concepts essential for the application of Knowledge Based Systems (KBS) to radar detection, tracking, classification, and scheduling. The book highlights the latest advances in both KBS and radar signal and data processing, presenting a range of perspectives and innovative results that have set the stage for the next generation of adaptive radar systems. The book begins with a chapter introducing the concept of Knowledge Based (KB) radar. The remaining nine chapters focus on current developments and recent applications of KB concepts to specific radar functions. Among the key topics explored are: Fundamentals of relevant KB techniques KB solutions as they apply to the general radar problem KBS applications for the constant false-alarm rate processor KB control for space-time adaptive processing KB techniques applied to existing radar systems Integrated end-to-end radar signals Data processing with overarching KB control All chapters are self-contained, enabling readers to focus on those topics of greatest interest. Each one begins with introductory remarks, moves on to detailed discussions and analysis, and ends with a list of references. Throughout the presentation, the authors offer examples of how KBS works and how it can dramatically improve radar performance and capability. Moreover, the authors forecast the impact of KB technology on future systems, including important civilian, military, and homeland defense applications. With chapters contributed by leading international researchers and pioneers in the field, this text is recommended for both students and professionals in radar and sonar detection, tracking, and classification and radar resource management.
Integrated Sensing And Communications
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Author : Fan Liu
language : en
Publisher: Springer Nature
Release Date : 2023-07-18
Integrated Sensing And Communications written by Fan Liu and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-18 with Technology & Engineering categories.
The coming generations of wireless network technologies will serve, not only as a means of connecting physical and digital environments, but also to set the foundation for an intelligent world in which all aspects are interconnected, sensed, and endowed with intelligence. Beyond merely providing communication capabilities, future networks will have the capacity to "see" and interpret the physical world. This development compels us to re-imagine the design of current communication infrastructures and terminals, taking into account crucial aspects such as fundamental constraints and tradeoffs, information extraction and processing technologies, issues of public security and privacy, as well as the emergence of numerous new applications. This field of research is known as Integrated Sensing and Communications (ISAC), and it has ushered in a paradigm shift towards the omnipresence of radio devices.This book provides the first comprehensive introduction to the ISAC theoretical and practical framework. Each chapter is authored by a group of world-leading experts, including over 10 IEEE Fellows. Readers can expect to gain both a broad overview and detailed technical insights into the latest ISAC innovations.
Cyber Physical Power Systems State Estimation
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Author : Arturo Bretas
language : en
Publisher: Elsevier
Release Date : 2021-05-14
Cyber Physical Power Systems State Estimation written by Arturo Bretas and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-05-14 with Technology & Engineering categories.
Cyber-Physical Power System State Estimation updates classic state estimation tools to enable real-time operations and optimize reliability in modern electric power systems. The work introduces and contextualizes the core concepts and classic approaches to state estimation modeling. It builds on these classic approaches with a suite of data-driven models and non-synchronized measurement tools to reflect current measurement trends required by increasingly more sophisticated grids. Chapters outline core definitions, concepts and the network analysis procedures involved in the real-time operation of EPS. Specific sections introduce power flow problem in EPS, highlighting network component modeling and power flow equations for state estimation before addressing quasi static state estimation in electrical power systems using Weighted Least Squares (WLS) classical and alternatives formulations. Particularities of the state estimation process in distribution systems are also considered. Finally, the work goes on to address observability analysis, measurement redundancy and the processing of gross errors through the analysis of WLS static state estimator residuals. Develops advanced approaches to smart grid real-time monitoring through quasi-static model state estimation and non-synchronized measurements system models Presents a novel, extended optimization, physics-based model which identifies and corrects for measurement error presently egregiously discounted in classic models Demonstrates how to embed cyber-physical security into smart grids for real-time monitoring Introduces new approaches to calculate power flow in distribution systems and for estimating distribution system states Incorporates machine-learning based approaches to complement the state estimation process, including pattern recognition-based solutions, principal component analysis and support vector machines
Operator Theoretic And Data Driven Approaches To Radar Modeling And Signal Processing
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Author : Caden Pici
language : en
Publisher:
Release Date : 2023
Operator Theoretic And Data Driven Approaches To Radar Modeling And Signal Processing written by Caden Pici and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023 with categories.
Optimizing radar signal processing algorithms is typically addressed under various assumptions about the nature of the targets, clutter, and noise. This can include target motion and signature, clutter distribution, and Gaussian nature of the noise. In this work, a generalized linear operator based model of the radar problem is presented which combines aspects of a couple different works in literature, and overcomes the limitations present in the linear time-invariant model often used. From the general equation for monostatic radar, connections are made to the work presented in the remainder of the thesis, in which the following chapters study different aspects of that equation under different assumptions and conditions. This includes a filtering method for adapting noise radar waveforms to the eigenfunction solution of maximizing the signal-to-interference-plus-noise ratio in the presence of colored noise. The optimal solution to this problem is limiting in that it requires knowledge of the target impulse response. Two target classification receivers are presented which rely on having a library of target response data across different aspect angles. One solution is based on performing a sparse regression onto the space of possible frequency responses. Though providing the best accuracy, this is a slower algorithm. This is addressed by providing a target-tailored matched filter band which is shown to have promise in classifying targets in the simulation study. Finally, an existing stochastic differential equation model of sea clutter is reviewed, and a data-driven framework relying on Koopman operator theory and dynamic mode decomposition is used to discover a model of sea clutter dynamics. This model generates a higher dimensional linear operator that is able to reasonably well model the temporal dynamics of the sea clutter stochastic differential equations. From this model, an anomaly detection approach is studied, which is able to detect changes in the sea state, and shows potential for future work on small target detection in the presence of sea clutter.
Advances In Adaptive Radar Detection And Range Estimation
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Author : 郝程鹏
language : en
Publisher:
Release Date : 2022
Advances In Adaptive Radar Detection And Range Estimation written by 郝程鹏 and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022 with Adaptive signal processing categories.
