Developing Digital RF Memories and Transceiver Technologies for Electromagnetic Warfare, 電磁波戦用デジタルRFメモリとトランシーバ技術の開発, 9781630816971, 978-1-63081-697-1,「次世代装備」

Developing Digital RF Memories and Transceiver Technologies for Electromagnetic Warfare

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Developing Digital RF Memories and Transceiver Technologies for Electromagnetic Warfare

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書名

Developing Digital RF Memories and Transceiver Technologies for Electromagnetic Warfare
電磁波戦用デジタルRFメモリとトランシーバ技術の開発
著者・編者 Pace, P.E.
発行元 Artech House
発行年/月 2022年5月
装丁 Hardcover
ページ数/巻数 920 ページ
ISBN 978-1-63081-697-1
発送予定 海外倉庫よりお取り寄せ 3-5週間以内に発送します
 

Description

This book provides a comprehensive resource and thorough treatment in the latest development of Digital RF Memory (DRFM) technology and their key role in maintaining dominance over the electromagnetic spectrum. Part I discusses the use of advanced technology to design transceivers for spectrum sensing using unmanned systems to dominate the electromagnetic spectrum. Part II uses artificial intelligence and machine learning to enable modern spectrum sensing and detection signal processing for electronic support and electronic attack. Another key contribution is examination of counter-DRFM techniques. DRFM and transceiver design details and examples are provided along with the MATLAB software allowing the reader to construct their own embedded DRFM transceivers for unmanned systems. It examines the design trade-offs in developing multiple, structured, false target synthesis DRFM architectures and aids in developing counter-DRFM techniques and distinguish false target from real ones. Written by an expert in the field, and including MATLAB? design software, this is the only comprehensive book written on the subject of DRFM.

 

Contents:

Electromagnetic Spectrum Dominance
Digital RF Memory Receiver Architectures
Designing DRFM AESA Antennas
Choosing the Correct Wideband Spectrum Sensing Receiver
Transceiver Design and Practical Considerations
High Performance Transceiver Component Technologies
Microwave-Photonic Transceiver Technologies
Modern Spectral Sensing and Signal Detection Methods
Artificial Intelligence, Machine, and Deep Learning for Spectral Sensing
Electronic Attack Using Deep Learning
Counter-DRFM Methods