Coluccia A Adaptive Radar Detection Model-Based, Data-Driven 2023
Category: eBooks
- views: 139
- date: 25 February 2023
- posted by: BeMyLove
Coluccia A Adaptive Radar Detection Model-Based, Data-Driven 2023 | 30.29 MB
English | 235 Pages
Title: Adaptive Radar Detection: Model-Based, Data-Driven and Hybrid Approaches
Author: Coluccia, Angelo;
Year: 2022
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.
DOWNLOAD:
https://rapidgator.net/file/862cb80a1523dedc344dadf35c458138/Coluccia_A._Adaptive_Radar_Detection._Model-Based_Data-Driven...2023.rar
https://uploadgig.com/file/download/958E4686940980fa/Coluccia_A._Adaptive_Radar_Detection._Model-Based_Data-Driven...2023.rar
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.
DOWNLOAD:
https://rapidgator.net/file/862cb80a1523dedc344dadf35c458138/Coluccia_A._Adaptive_Radar_Detection._Model-Based_Data-Driven...2023.rar
https://uploadgig.com/file/download/958E4686940980fa/Coluccia_A._Adaptive_Radar_Detection._Model-Based_Data-Driven...2023.rar
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