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Radar Systems Analysis and Design Using MATLAB, 3/Ed > 레이더

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Radar Systems Analysis and Design Using MATLAB, 3/Ed
판매가격 69,000원
도서종류 외국도서
출판사 CRC
발행언어 영어
발행일 2013
페이지수 772
ISBN 9781439884959
배송비결제 주문시 결제
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  • 도서 정보

    도서 상세설명

    Table of Contents

    Radar Principles
    Definitions and Nomenclature
    Radar Systems Classifications and Bands
    Pulsed and Continuous Wave (CW) Radars
    Range
    Range Resolution
    Doppler Frequency
    Coherence
    Decibel Arithmetic

    Basic 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 Signals
    The 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 Estimation
    Ambiguity Function—Analog Waveforms
    Introduction
    Examples of the Ambiguity Function
    Stepped Frequency Waveforms
    Nonlinear FM
    Ambiguity Diagram Contours
    Interpretation of Range-Doppler Coupling in LFM Signals
    Ambiguity Function—Discrete Coded Waveforms
    Discrete Code Signal Representation
    Pulse Train Codes
    Phase Coding
    Frequency Codes
    Ambiguity Plots for Discrete Coded Waveforms
    Pulse Compression
    Time-Bandwidth Product
    Radar Equation with Pulse Compression
    Basic Principle of Pulse Compression
    Correlation Processor
    Stretch Processor
    Special 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 Precipitation
    Radar Clutter
    Clutter Definition
    Surface Clutter
    Volume Clutter
    Surface Clutter RCS
    Clutter Components
    Clutter Backscatter Coefficient Statistical Models
    Moving 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 Noise
    Radar 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 Process
    Single Pulse Detection
    Single Pulse with Known Parameters
    Single Pulse with Known Amplitude and Unknown Phase
    Detection of Fluctuating Targets
    Introduction
    Pulse 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 Revisited
    Radar 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 Bounce
    Phased 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 Array
    Adaptive 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 Simulation
    Tactical Synthetic Aperture Radars
    Introduction
    SAR 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

    Bibliography

    Index

    Problems appear at the end of each chapter.

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