Preface
Acknowledgments
Contents
Chapter 1: Introduction
1.1 Role of Monopulse in Electronic Systems
1.2 Idealized Hardware Implementation
1.3 Assumed Concepts
Chapter 2: Signal-to-Noise Ratios, the Relationship Between Signals-in-Space and Received Voltages, and AESA Gain
2.1 Signal-to-Noise Ratios
2.2 Signals in Space and in Electronics and Noise
2.3 Gain of an AESA
Chapter 3: Theory of Phase- and Amplitude-Comparison Monopulse
3.1 Relationship Between AESA Pointing Angles and Direction of Propagation
3.2 Phase-Comparison Monopulse Measurements in One Dimension
3.3 Phase-Comparison Monopulse Measurements in Two Dimensions
3.4 Amplitude-Comparison Monopulse Measurements in One Dimension
3.5 Amplitude-Comparison Monopulse Theory in One Dimension
Chapter 4: Sidelobe Control in Monopulse and Design Implications
Chapter 5: Ideal One-Way Monopulse Performance
5.1 Simulation of Phase-Comparison Monopulse
5.2 Ideal Performance of Phase-Comparison Monopulse
5.3 Simulation of Amplitude-Comparison Monopulse
5.4 Simulated Performance of Ideal Amplitude-Comparison Monopulse
Chapter 6: One-Way Monopulse Performance in the Real World
6.1 Simulation of AESA Imperfections
Simulation of Element Failures
Simulation of Quantization Noise in the Weights
Simulation of Vector Modulator (VM) Noise
6.2 Real-World Limitations to Phase-Comparison Monopulse Performance
Limitations of AESA Beamwidth and Pointing Range
Limitations of AESA Scan Angle
Limitations of Number of Bits in Weights
Limitations of Failed Elements
Limitations of Vector Modulator (VM) Noise
Chapter 7: Two-Way (Monostatic Radar) Monopulse Performance
7.1 Two-Way Gain Computed Step by Step
7.2 Simulation of Monostatic Radar Phase-Comparison Monopulse
7.3 Ideal Monostatic Radar Phase-Comparison Monopulse Performance
Chapter 8: Other Real-World Effects on Radar Detection Range
Chapter 9: Examples of the Use of Monopulse Measurements in Radar Target Tracking with Kalman Filters
9.1 Geometry and Coordinate Transformations
9.2 EKF Matrices and State Vector Updates
9.3 Trajectory and Tracking Performance With and Without Monopulse Measurements
Case 1: EKF With Range and Monopulse Measurements
Case 2: EKF With Only Range Measurements
Case 3: WLS With Range and Monopulse Measurements
Chapter 10: Fidelity and Accuracy of Monopulse Measurement Simulation
10.1 Fidelity of Monopulse Simulation Model
10.2 Simulation Accuracy
Appendix A: Amplitude-Comparison Monopulse Squinting in Two Dimensions
Squinting Increments in Cartesian Coordinates
Squinting Increments in Polar Coordinates
Appendix B: A Property of Uniformly Weighted AESA Gain in One Dimension
Appendix C: ``Derivationยดยด of the Linear Kalman Filter, Extended Kalman Filter, and Weighted Least-Squares Equations
Linear Kalman Filter
Extended Kalman Filter
Weighted Least-Squares Solution
References
Index