Adaptive Radar Detection: Model-Based, Data-Driven and Hybrid Approaches - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Adaptive Radar Detection: Model-Based, Data-Driven and Hybrid Approaches write by Angelo Coluccia. This book was released on 2022-11-30. Adaptive Radar Detection: Model-Based, Data-Driven and Hybrid Approaches available in PDF, EPUB and Kindle. 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
Radar and EW Modeling in MATLAB and Simulink - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Radar and EW Modeling in MATLAB and Simulink write by Carlos A. Dávila. This book was released on 2023-10-31. Radar and EW Modeling in MATLAB and Simulink available in PDF, EPUB and Kindle. 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.
Engineering UAS Applications: Sensor Fusion, Machine Vision and Mission Management
Engineering UAS Applications: Sensor Fusion, Machine Vision and Mission Management - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Engineering UAS Applications: Sensor Fusion, Machine Vision and Mission Management write by Jesús Garcia. This book was released on 2023-07-31. Engineering UAS Applications: Sensor Fusion, Machine Vision and Mission Management available in PDF, EPUB and Kindle. 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.
Advances in Adaptive Radar Detection and Range Estimation
Advances in Adaptive Radar Detection and Range Estimation - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Advances in Adaptive Radar Detection and Range Estimation write by Chengpeng Hao. This book was released on 2021-12-03. Advances in Adaptive Radar Detection and Range Estimation available in PDF, EPUB and Kindle. 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.
Adaptive Radar Detection and Estimation
Adaptive Radar Detection and Estimation - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Adaptive Radar Detection and Estimation write by Simon Haykin. This book was released on 1992-04-15. Adaptive Radar Detection and Estimation available in PDF, EPUB and Kindle. 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.
