Radar System Analysis Design and Simulation 1st Edition by Eyung W Kang ISBN 1596933488 9781596933484

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ISBN 10: 1596933488 
ISBN 13: 9781596933484
Author: Eyung W Kang

Whether you are an experienced radar engineer striving to optimize system performance or a graduate student looking to gain a practical understanding of radar system design, this authoritative volume is a smart choice. The book helps you master critical system analysis and design skills, and shows you how to use digital computer simulation to verify that an analysis is correct and that a design is optimal. This comprehensive resource covers a wide range of essential topics, from matrix, vector and linear equations, noise and clutter generation, Filters (FIR and IIR), and fast Fourier transforms… to ambiguity functions, antennas, target detection, and the Kalman filter… to the Monte Carlo method, constant false alarm rate (CFAR) processing, and moving target indicators (MTI). Striking the right balance between depth and breath, the book offers you a solid foundation in all the key topics covered, supporting discussions with detailed examples, more than 340 equations, and over 250 illustrations.CD-ROM Included! Contains over 200 valuable simulation and implementation tools, written in C++, to help you with your challenging projects in the field.

Radar System Analysis Design and Simulation 1st Table of contents:

Part I: Fundamental Concepts and Mathematical Tools

• Chapter 1: Matrix, Vector, and Linear Equations

  • Basic Linear Algebra for Radar Systems
  • Solving Systems of Linear Equations
  • Eigenvalues and Eigenvectors
  • Applications in Radar Signal Processing

• Chapter 2: Pseudo-Random Number, Noise, and Clutter Generation

  • Random Number Generation Techniques
  • Modeling Different Types of Noise (e.g., Gaussian, thermal)
  • Simulating Radar Clutter (e.g., ground clutter, sea clutter)
  • Statistical Properties of Noise and Clutter

• Chapter 3: Filters (FIR and IIR)

  • Introduction to Digital Filters
  • Finite Impulse Response (FIR) Filters
  • Infinite Impulse Response (IIR) Filters
  • Filter Design and Implementation in Radar Applications

• Chapter 4: Fast Fourier Transform (FFT)

  • Discrete Fourier Transform (DFT) Fundamentals
  • The Fast Fourier Transform Algorithm
  • Applications of FFT in Radar Signal Processing (e.g., Doppler processing, spectral analysis)

Part II: Core Radar System Components and Functions

• Chapter 5: Ambiguity Function

  • Definition and Properties of the Ambiguity Function
  • Ambiguity Functions for Different Radar Waveforms (e.g., CW, Pulsed, LFM)
  • Interpreting the Ambiguity Function for Range and Doppler Resolution

• Chapter 6: Antennas

  • Antenna Fundamentals (gain, beamwidth, patterns)
  • Types of Radar Antennas
  • Antenna Design Considerations for Radar Systems
  • Phased Arrays and Beamforming

• Chapter 7: Target Detection

  • Radar Equation
  • Signal-to-Noise Ratio (SNR)
  • Probability of Detection and Probability of False Alarm
  • Receiver Operating Characteristics (ROC) Curves
  • Noise Power and Receiver Noise Figure

• Chapter 8: Kalman Filter

  • Introduction to State Estimation
  • Kalman Filter Theory and Derivation
  • Applications of Kalman Filter in Radar Target Tracking

Part III: Advanced Topics and Simulation Techniques

• Chapter 9: Monte Carlo Method and Function Integrations

  • Introduction to Monte Carlo Simulation
  • Using Monte Carlo for Performance Evaluation
  • Numerical Integration Techniques

• Chapter 10: Constant False Alarm Rate (CFAR) Processing

  • The Need for CFAR
  • Different CFAR Algorithms (e.g., Cell Averaging CFAR)
  • Performance Analysis of CFAR Processors

• Chapter 11: Moving Target Indicator (MTI)

  • Principles of MTI Radar
  • Clutter Suppression Techniques (e.g., Delay-Line Cancellers)
  • Doppler Filter Banks

• Chapter 12: Miscellany (Potentially covering various specialized or practical topics)

  • System Calibration
  • Hardware-in-the-Loop Simulation
  • Real-world System Integration Challenges

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Tags: Eyung W Kang, Radar System, Analysis