Monopulse Measurement with Active Electronically Scanned Arrays (AESAs)

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: ``Derivation´´ 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