Mahafza B.R. Radar Systems Analysis and Design Using MatLAB

Third Edition. — CRC Press, 2013. 772 p. 464 Illustrations. — ISBN13: 978-1-4398-8496-6 (eBook - PDF).Developed from the author’s graduate-level courses, the first edition of this book filled the need for a comprehensive, self-contained, and hands-on treatment of radar systems analysis and design. It quickly became a bestseller and was widely adopted by many professors. The second edition built on this successful format by rearranging and updating topics and code.Reorganized, expanded, and updated, Radar Systems Analysis and Design Using MatLAB, Third Edition continues to help graduate students and engineers understand the many issues involved in radar systems design and analysis. Each chapter includes the mathematical and analytical coverage necessary for obtaining a solid understanding of radar theory. Additionally, MatLAB functions/programs in each chapter further enhance comprehension of the theory and provide a source for establishing radar system design requirements.Incorporating feedback from professors and practicing engineers, the third edition of this bestselling text reflects the state of the art in the field and restructures the material to be more convenient for course use. It includes several new topics and many new end-of-chapter problems. This edition also takes advantage of the new features in the latest version of MatLAB. Updated MatLAB code is available for download on the book’s CRC Press web page.Radar PrinciplesDefinitions and Nomenclature
Radar Systems Classifications and Bands
Pulsed and Continuous Wave (CW) Radars
Range
Range Resolution
Doppler Frequency
Coherence
Decibel ArithmeticBasic Pulsed and Continuous Wave (CW) Radar Operations
The Radar Range Equation
Low PRF Radar Equation
High PRF Radar Equation
Surveillance Radar Equation
Radar Equation with Jamming
Range Reduction Factor
Bistatic Radar Equation
Radar Losses
Noise Figure
Continuous Wave (CW) Radars
MatLAB Program "range_calc.m"Radar Signals and Signal Processing
Linear Systems and Complex Signal Representation
Signal Classification
The Fourier Transform
Systems Classification
Signal Representation Using the Fourier Series
Convolution and Correlation Integrals
Bandpass Signals
Spectra of a Few Common Radar Signals
Signal Bandwidth and Duration
Discrete Time Systems and SignalsThe Matched Filter Radar Receiver
The Matched Filter SNR
General Formula for the Output of the Matched Filter
Waveform Resolution and Ambiguity
Range and Doppler Uncertainty
Target Parameter EstimationAmbiguity Function—Analog WaveformsExamples of the Ambiguity Function
Stepped Frequency Waveforms
Nonlinear FM
Ambiguity Diagram Contours
Interpretation of Range-Doppler Coupling in LFM SignalsAmbiguity Function—Discrete Coded Waveforms
Discrete Code Signal Representation
Pulse Train Codes
Phase Coding
Frequency Codes
Ambiguity Plots for Discrete Coded WaveformsPulse Compression
Time-Bandwidth Product
Radar Equation with Pulse Compression
Basic Principle of Pulse Compression
Correlation Processor
Stretch ProcessorSpecial Radar Considerations
Radar Wave Propagation
The Earth Impact on the Radar Equation
Earth’s Atmosphere
Atmospheric Models
Four-Third Earth Model
Ground Reflection
The Pattern Propagation Factor
Diffraction
Atmospheric Attenuation
Attenuation due to PrecipitationRadar Clutter
Clutter Definition
Surface Clutter
Volume Clutter
Surface Clutter RCS
Clutter Components
Clutter Backscatter Coefficient Statistical ModelsMoving Target Indicator (MTI) and Pulse Doppler Radars
Clutter Power Spectrum Density
Concept of Moving Target Indicator (MTI)
PRF Staggering
MTI Improvement Factor
Subclutter Visibility (SCV)
Delay Line Cancelers with Optimal Weights
Pulse Doppler Radars
Phase NoiseRadar Detection
Random Variables and Random Processes
Random Variables
Multivariate Gaussian Random Vector
Rayleigh Random Variables
The Chi-Square Random Variables
Random Processes
The Gaussian Random ProcessSingle Pulse Detection
Single Pulse with Known Parameters
Single Pulse with Known Amplitude and Unknown PhaseDetection of Fluctuating TargetsPulse Integration
Target Fluctuation: The Chi-Square Family of Targets
Probability of False Alarm Formulation for a Square Law Detector
Probability of Detection Calculation
Computation of the Fluctuation Loss
Cumulative probability of Detection
Constant False Alarm Rate (CFAR)
M-out-of-N Detection
The Radar Equation RevisitedRadar Special Topics
Radar Cross Section (RCS)
RCS Definition
RCS Dependency on Aspect Angle and Frequency
RCS Dependency on Polarization
RCS of Simple Objects
RCS of Complex Objects
RCS Prediction Methods
Multiple BouncePhased Array Antennas
Directivity, Power Gain, and effective Aperture
Near and Far Fields
General Arrays
Linear Arrays
Planar Arrays
Array Scan Loss
Multiple Input Multiple Output (MIMO)—Linear ArrayAdaptive Signal Processing
Nonadaptive Beamforming
Adaptive Signal Processing using Least Mean Square (LMS)
The LMS Adaptive Array Processing
Sidelobe Cancelers (SLC)
Space Time Adaptive Processing (STAP)Target Tracking
Angle Tracking
Amplitude Comparison Monopulse
Phase Comparison Monopulse
Range Tracking
Track-While-Scan (TWS)
State Variable Representation of an LTI System
The LTI System of Interest
Fixed-Gain Tracking Filters
The Kalman Filter
MatLAB Kalman Filter SimulationTactical Synthetic Aperture RadarsSAR Design Considerations
SAR Radar Equation
SAR Signal Processing
Side Looking SAR Doppler Processing
SAR Imaging using Doppler Processing
Range Walk
A Three-Dimensional SAR Imaging Technique