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Radar and EW Modeling in MATLAB® and Simulink®

Radar and EW Modeling in MATLAB® and Simulink®

By (author): Carlos A. Dávila
Copyright: 2023
Pages: 510
ISBN: 9781630819064
Coming Soon: Available 10/31/2023
List Price: $169.00

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Hardback $136.00 Qty:

This resource covers basic concepts and modeling examples for the three “pillars” of EW: Electronic Attack (EA) systems, Electronic Protection (EP) techniques, and Electronic Support (ES). It develops techniques for the modeling and simulation (M&S) of modern radar and electronic warfare (EW) systems and reviews radar principles, including the radar equation. M&S techniques are introduced, and example models developed in MATLAB and Simulink are presented and discussed in detail. These individual models are combined to create a full end-to-end engineering engagement simulation between a pulse-Doppler radar and a target. The radar-target engagement model is extended to include jamming models and is used to illustrate the interaction between radar and jamming signals and the impact on radar detection and tracking. In addition, several classic EA techniques are introduced and modeled, and the effects on radar performance are explored. This book is a valuable resource for engineers, scientists, and managers who are involved in the design, development, or testing of radar and EW systems. It provides a comprehensive overview of the M&S techniques that are used in these systems, and the book's many examples and case studies provide a solid foundation for understanding how these techniques can be applied in practice.



1.0 Introduction
1.1 Basic concepts and terminology
1.2 The M&S pyramid
1.3 Radar M&S
1.4 Concluding Remarks
1.5 References


2.0 The Radar Equation
2.1 Introduction
2.2 Derivation of the Radar Equation
2.3 MATLAB Model of the Radar Equation
2.4 Simulink Model of the Radar Equation
2.5 Concluding Remarks
2.6 References


3.0 Antennas
3.1 Introduction
3.2 Antenna Basics
3.3 Directivity Pattern Basics
3.4 Fields and Frequencies
3.5 Polarization
3.6 Isotropic Antenna Pattern
3.7 Directivity and Gain
3.8 Modeling Approaches
3.9 Fourier Transform Model Approaches
3.10 Fourier Transform Peak Directivity Normalization
3.11 Fourier Transform Model for Antennas That Are Not Arrays


4.0 Propagation
4.1 Introduction
4.2 Radar Horizon
4.3 Atmospheric Attenuation
4.4 Refraction
4.5 Multipath
4.6 Summary
4.7 References


5.0 Radar Cross Section
5.1 Introduction
5.2 The Concept of RCS
5.3 Scattering Surfaces
5.4 Scatterer Integration
5.5 Computational Electromagnetics
5.6 Swerling Models
5.7 RCS Table Look-Up
5.8 Concluding Remarks
5.9 References


6.0 Clutter
6.1 Introduction
6.2 From Target Models to Clutter Models
6.3 Principles of Area Clutter Modeling
6.4 Land Clutter Backscatter Coefficients
6.5 Land Clutter Backscatter Statistics
6.6 Land Clutter Discretes
6.7 Land Clutter Temporal Correlation
6.8 Site-Specific Clutter
6.9 Sea Clutter
6.10 Volume Clutter
6.11 Clutter Model Results
6.12 Summary
6.13 References


7.0 Radar Waveforms
7.1 Introduction
7.2 Taxonomy of Radar Waveforms
7.3 Continuous Wave (CW)
7.4 Pulse Waveforms
7.5 Waveform Generator Model
7.6 Concluding Remarks
7.7 References


8.0 Range and Doppler Processing
8.1 Introduction
8.2 Target Velocity and Doppler
8.3 The Fourier Transform
8.4 The Discrete Fourier Transform (DFT)
8.5 Pulse Compression Waveforms
8.6 Range Processing
8.7 Doppler Processing
8.8 Concluding Remarks
8.9 References


9.0 Monopulse Processing
9.1 Introduction
9.2 Monopulse Processing of a Two-Element Array
9.3 Extension to an N-Element Array
9.4 A Non-mathematical Description of Monopulse
9.5 Simulink Model of Monopulse Processor
9.6 Concluding Remarks
9.7 References


10.0 Transmitter and Receiver Components
10.1 Introduction
10.2 Single-Sideband (SSB) Upconverter
10.3 Amplifiers
10.4 Oscillator Phase Noise
10.5 I/Q Channel Mismatch
10.6 Filtering
10.7 Analog-to-digital Conversion
10.8 Concluding Remarks
10.9 References


11.0 Target Detection
11.1 Introduction
11.2 Data Processing and Detector Types
11.3 Noise and Target Statistics
11.4 Detection Figures of Merit (Pd and Pfa) and the Likelihood Ratio
11.5 ROC Curves
11.6 Noncoherent Integration
11.7 Detection Performance for Fluctuating Targets
11.8 CFAR Detectors
11.9 Binary (M-of- N) Detection
11.10 References


12.0 Pulse-Doppler & FMCW Signal Processors
12.1 Introduction
12.2 FMCW Processing
12.3 Pulse-Doppler Processing
12.4 Radar Processing Timeline and Swerling Fluctuation Models
12.5 Concluding Remarks
12.6 References


13.0 Target Tracking
13.1 Introduction and Basic Terminology
13.2 Radar Tracking Modes
13.3 Tracking Initiation and Management Process
13.4 Tracking M&S Considerations
13.5 Modeling Examples
13.6 Concluding Remarks
13.7 References


14.0 Engagement Geometry
14.1 Introduction
14.2 Coordinate Systems and their Transformations
14.3 Truth Calculation of Radar Observables
14.4 Simulink Model of Target Generator
14.5 Concluding Remarks
14.6 References


15.0 Engagement Simulation
15.1 Introduction
15.2 Extending the Radar Equation Model
15.3 Initial Engagement Model
15.4 Full Engagement Model
15.5 Example Single Radar vs. Single Target Engagement
15.6 Concluding Remarks
15.7 References


16.0 M&S of EA
16.1 Introduction
16.2 EA Concepts
16.3 Coherent Repeater EA
16.4 Engagement Simulation with Coherent Repeater EA
16.5 Noise EA
16.6 Engagement Simulation with Noise EA
16.7 Concluding Remarks
16.8 References


17.0 M&S of EP
17.1 Introduction
17.2 Antenna EP Concepts
17.3 Modeling of Antenna EP
17.4 Adaptive Beamforming
17.5 Concluding Remarks
17.6 References


18.0 M&S of ES
18.1 Introduction
18.2 Instantaneous Frequency Measurement (IFM) Modeling
18.3 Generic ES Processor Modeling
18.4 Time Difference of Arrival (TDOA) Modeling
18.5 Concluding Remarks
18.6 References


Appendix A - Common Sources of Discrepancy and Confusion in Radar M&S
Appendix B - MATLAB Refresher (Online)
Appendix C - Simulink Refresher (Online)
List of Acronyms and Abbreviations
Author biographies

  • Carlos A. Dávila

    is a Principal Research Engineer at the Georgia Tech Research Institute (GTRI), where he has been working for over 20 years. He is a leading expert in the field of radar system design and analysis, signal processing algorithm design and development, and modeling & simulation of advanced radar systems. Dr. Dávila received his B.S. in Electrical Engineering from the University of Puerto Rico, an M.S. from University of California-Los Angeles, and a Ph.D. from the University of Arizona, all in electrical engineering. Dr. Dávila is a Senior Member of the Institute of Electrical and Electronic Engineers, Inc. (IEEE), and a Member of the Association of Old Crows (AOC). He was a nominee for the 1996 Hispanic Engineer National Achievement Award Conference (HENAAC) Award for Outstanding Contributions to Science and Engineering.

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