Intro
Essential Principles of Signals Collection and Analysis
Contents
Foreword
1 Introduction to Signals Collection and Analysis
1.1 Key Foundations
1.2 Presentation Organization
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 Wi-Fi
2.8 RF Signal Detection
2.9 Conclusions
References
4 Radar Fundamentals
4.1 Introduction
4.2 Electromagnetic Theory
4.2.1 Maxwell's Equations

4.2.2 EM Wave Propagation
4.2.3 EM Wave Polarization
4.3 Antennas
4.3.1 Pure Magnetic Dipole Antenna Concept
4.3.2 Transmission and Reception Beam Patterns
4.4 Radar Equation
4.4.1 Signal Power Over One-Way Link
4.4.2 Target Radar Cross Section
4.4.3 EM Power Density for Monostatic Receiver
4.5 Summary
References
5 Geolocation
5.1 Introduction
5.1.1 Emitter and Collector Assumptions
5.1.2 Possible Vignettes
5.2 Angle of Arrival Methods
5.2.1 Array Model for AoA/DOA Estimation
5.2.2 Array Transfer Vector

5.2.3 Uniform Linear Array for AoA/DoA Estimation
5.3 Time Difference of Arrival Methods
5.3.1 Time of Arrival
5.3.2 Difference of Time of Arrivals
5.3.3 Hyperbolic Isochrones
5.3.4 TDOA Calculation Details
5.4 Frequency Difference of Arrival Methods
5.4.1 Doppler Frequency
5.4.2 Difference of Doppler Frequencies
5.4.3 FDOA Calculation Details
5.5 Cross Ambiguity Function
5.6 Summary
References
3 Access to RF Signals
3.1 Introduction
3.2 RF Signal Collection Platforms
3.2.1 RF Signal Collection from Ground
3.2.2 RF Signal Collection from Water

3.2.3 RF Signal Collection from Air
3.2.4 RF Signal Collection from Space
3.3 Altitude and Shape of Orbits
3.3.1 Low-Earth Orbit
3.3.2 Medium-Earth Orbit
3.3.3 High-Earth Orbit
3.3.4 Special Orbit Terminology
3.4 Orbital Mechanics
3.5 Conclusion
References
6 Signals Detection and Estimation
6.1 Introduction
6.2 Detection Theory
6.2.1 Signal Detection Terminology
6.2.2 Signal Detection Strategy
6.3 Detection of Signals in Noise
6.3.1 Matched Filter
6.3.2 Matched Filter: Correlator and Convolution
6.3.3 White Noise Versus Colored Noise

6.3.4 Detection of Known Signals in White Noise
6.3.5 Detection of Known Signals in Colored Noise
6.3.6 Detection of Random Signals
6.3.7 Detection in Non-Gaussian Noise
6.3.8 Designing Detectors with Unknown Parameters
6.4 Signal Parameter Estimation
6.4.1 Minimum Variance Unbiased Estimation
6.4.2 Cramer-Rao Lower Bound
6.4.3 Maximum Likelihood Estimation
6.4.4 Maximum A Posteriori Estimator
6.5 Summary
References
7 Cryptography Fundamentals
7.1 Introduction
7.1.1 Connection with Signals Collection
7.1.2 Primary Goals of Cryptography