Radar Systems Analysis and Design Using MATLAB
Radar Systems Analysis and Design Using MATLAB
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Author(s): Mahafza, Bassem R.
ISBN No.: 9781439884959
Pages: 772
Year: 201305
Format: Trade Cloth (Hard Cover)
Price: $ 213.90
Dispatch delay: Dispatched between 7 to 15 days
Status: Available

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. mp;lt;BR>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. ls Ambiguity Function--Discrete Coded Waveforms Discrete Code S.


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