Modern Machine Learning Algorithms for Radar and Communications
Published on 31. July 2020
Book
Hardback
290 pages
978-1-63081-637-7 (ISBN)
Description
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.
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.
More details
Edition
Unabridged edition
Language
English
Place of publication
Norwood
United States
Target group
Professional and scholarly
Edition type
Unabridged edition
Product notice
sewn/stitched
Cloth over boards
Dimensions
Height: 249 mm
Width: 183 mm
Thickness: 23 mm
Weight
839 gr
ISBN-13
978-1-63081-637-7 (9781630816377)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Uttam K. Majumder | Erik P. Blasch | David A. Garren
Deep Learning for Radar and Communications Automatic Target Recognition
E-Book
07/2020
Artech House
€217.99
Available for download
Content
Introduction to Machine Learning and Radio Frequency: Past, Present, and Future;
Mathematical Foundations for Machine Learning; Review of Machine Learning Algorithms;
A Review of Deep Learning Algorithms; Radio Frequency Data for ML Research;
Deep Learning for Single-Target Classification in SAR Imagery;
Deep Learning for Multiple Target Classification in SAR Imagery; RF Signal Classification;
Radio Frequency ATR Performance Evaluation;
Recent Topics in Machine Learning for Radio Frequency ATR.
Mathematical Foundations for Machine Learning; Review of Machine Learning Algorithms;
A Review of Deep Learning Algorithms; Radio Frequency Data for ML Research;
Deep Learning for Single-Target Classification in SAR Imagery;
Deep Learning for Multiple Target Classification in SAR Imagery; RF Signal Classification;
Radio Frequency ATR Performance Evaluation;
Recent Topics in Machine Learning for Radio Frequency ATR.