Table Of Contents
Chapter 1: Introduction to Signals Collection and Processing
1 Introduction to Signals Collection and Processing
1.1 Introduction
1.2 Presentation Organization
Chapter 2: RF Signals Classification
2.1 Introduction
2.2 Communication Channels
2.3 RF Signals Analysis
2.4 RF Analog Signals Modulation
2.5 RF Digital Signals Modulation
2.6 RF Shift Keying
2.7 RF WiFi
2.8 Signal Detection
2.9 Conclusion
Chapter 3: Access to RF Signals
3.1 Introduction
3.2 RF Signal Collection Platforms
3.3 Altitude and Shape of Orbits
3.4 Orbital Mechanics
3.5 Conclusion
Chapter 4: Radar Fundamentals
4.1 Introduction
4.2 Electro-Magnetic (EM) Theory
4.3 Antennas
4.4 Radar Equation
4.5 Summary
Chapter 5: Geolocation
5.1 Introduction
5.2 Angle of Arrival Methods
5.3 Time Difference of Arrival (TDOA) Methods
5.4 Frequency Difference of Arrival (FDOA) Methods
5.5 Cross Ambiguity Function (CAF)
5.6 Summary
Chapter 6: Signals Detection and Estimation
6.1 Introduction
6.2 Detection Theory
6.3 Detection of Signals in Noise
6.4 Signal Parameter Estimation
6.5 Summary
Chapter 7: Cryptography Fundamentals
7.1 Introduction
7.2 Mathematical Fundamentals of Cryptography
7.3 Symmetric Cryptography
7.4 Asymmetric Cryptography
7.5 Summary
Chapter 8: Signal Networks
8.1 Introduction
8.2 Internet Protocol Stack
8.3 Types of Packet Delay
8.4 Summary
Chapter 9: Machine Learning for RF Signal Classification
9.1 Introduction
9.3 An Overview of Machine Learning Algorithms
9.4 Deep Neural Networks
9.5 RF Signal Dataset for WiFi Fingerprinting
9.6 Deep Learning Based WiFi Signal Classification
9.7 Conclusion
Chapter 10: Future Trends in Signals Collection and Analysis
10.1 Introduction
10.2 Unmanned Sensors
10.3 Higher Frequency Communication Networks (e.g., 6-G and Beyond)
10.4 Internet of Things (IoT)
10.5 Enhanced AI/ML Applications
10.6 Conclusion