Designing Digital RF Memories for Electronic Warfare

This book discusses the latest development of Digital RF Memory (DRFM) technology and its key role in maintaining dominance over the electromagnetic spectrum. It provides a comprehensive resource and thorough treatment of DRFM technology, including transceiver design, spectrum sensing, and detection signal processing. It also examines counter-DRFM techniques and includes MATLAB™ design software for constructing embedded DRFM transceivers.

Format: Hardback
Length: 920 pages
Publication date: 31 May 2022
Publisher: Artech House Publishers

This book is a comprehensive resource and thorough treatment of the latest developments in Digital RF Memory (DRFM) technology and their critical role in maintaining dominance over the electromagnetic spectrum. Part I explores the use of advanced technology to design transceivers for spectrum sensing using unmanned systems to dominate the electromagnetic spectrum. Part II employs artificial intelligence and machine learning to enable modern spectrum sensing and detection signal processing for electronic support and electronic attack. Another significant contribution is the 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 distinguishing false targets 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.

Introduction:
Digital RF Memory (DRFM) technology has emerged as a vital component in maintaining dominance over the electromagnetic spectrum. With its ability to detect and process signals in a wide range of applications, DRFM has become an essential tool for military, intelligence, and civilian organizations. In this book, we will explore the latest developments in DRFM technology and their key role in shaping the future of spectrum management.

Part I: Spectrum Sensing with Unmanned Systems:
In Part I, we will delve into the use of advanced technology to design transceivers for spectrum sensing using unmanned systems. We will discuss the advantages of using unmanned systems for spectrum sensing and the challenges that arise in designing transceivers for these applications. We will also explore the various techniques used in DRFM, such as direct sequence spread spectrum (DSSS) and frequency-hopping spread spectrum (FHSS), and their applications in spectrum sensing.

Part II: Modern Spectrum Sensing and Detection Signal Processing:
In Part II, we will focus on the use of artificial intelligence and machine learning to enable modern spectrum sensing and detection signal processing. We will discuss the benefits of these technologies in enhancing the accuracy and efficiency of spectrum sensing and detection. We will also explore the various algorithms and techniques used in machine learning, such as convolutional neural networks (CNNs) and deep learning, and their applications in spectrum sensing.

Counter-DRFM Techniques:
Counter-DRFM techniques are essential in mitigating the threats posed by DRFM-based systems. In this part, we will examine the various counter-DRFM techniques, such as frequency agility, time diversity, and code division multiple access (CDMA), and their applications in mitigating the effects of DRFM. We will also discuss the challenges in developing and implementing counter-DRFM techniques and the potential risks associated with these techniques.

DRFM and Transceiver Design:
In this part, we will provide detailed explanations of DRFM and transceiver design. We will discuss the various components of a DRFM transceiver, such as the mixer, filter, and detector, and their roles in signal processing. We will also provide examples of DRFM transceivers designed for different applications, such as spectrum sensing and communication.

MATLAB Design Software:
To facilitate the understanding of DRFM and transceiver design, we will include MATLAB design software. MATLAB is a powerful tool used in signal processing and computer engineering, and it allows the reader to construct their own embedded DRFM transceivers for unmanned systems. We will provide step-by-step instructions on how to use MATLAB to design and simulate DRFM transceivers.

Conclusion:
In conclusion, this book provides a comprehensive resource and thorough treatment of the latest developments in DRFM technology and their critical role in maintaining dominance over the electromagnetic spectrum. By exploring the use of advanced technology, artificial intelligence, and machine learning, we can enhance the accuracy and efficiency of spectrum sensing and detection signal processing. Additionally, by examining counter-DRFM techniques, we can mitigate the threats posed by DRFM-based systems. With the inclusion of MATLAB design software, readers can construct their own embedded DRFM transceivers for unmanned systems, further enhancing their understanding of the subject. As the demand for spectrum resources continues to grow, DRFM technology will play an increasingly important role in ensuring the efficient and effective use of the electromagnetic spectrum.

Weight: 1536g
Dimension: 162 x 239 x 50 (mm)
ISBN-13: 9781630816971
Edition number: Unabridged ed