Radar Signal Analysis and Processing Using MATLAB

Providing a comprehensive reference for electrical engineers and graduate students, Radar Signal Analysis and Processing Using MATLAB offers an overview of radar signals and radar signal processing techniques with MATLAB(R)-based code. Each chapter covers a fundamental topic in radar systems, such as radar detection theory, signals and noise, the sampling theorem, Doppler processing and the moving target indicator, and discrete time signal processing techniques. With worked problems and examples, the book presents detailed mathematical derivations of modern radar waveforms, including linear FM, binary codes, and pseudo random waveforms.

Offering radar-related software for the analysis and design of radar waveform and signal processing, Radar Signal Analysis and Processing Using MATLAB® provides a comprehensive source of theoretical and practical information on radar signals, signal analysis, and radar signal processing with companion MATLAB® code. After an overview of radar systems operation and design, the book reviews elements of signal theory relevant to radar detection and radar signal processing, along with random variables and processes. The author then presents the unique characteristic of the matched filter and develops a general formula for the output of the matched filter that is valid for any waveform. He analyzes several analog waveforms, including the linear frequency modulation pulse and stepped frequency waveforms, as well as unmodulated pulse-train, binary, polyphase, and frequency codes. The book explores radar target detection and pulse integration, emphasizing the constant false alarm rate. It also covers the stretch processor, the moving target indicator, radar Doppler processing, beamforming, and adaptive array processing. Using configurable MATLAB code, this book demonstrates how to apply signal processing to radar applications. It includes many examples and problems to illustrate the practical application of the theory.

Preface Radar Systems—An Overview Range Measurements Range Resolution Doppler Frequency Coherence The Radar Equation Surveillance Radar Equation Radar Cross Section Radar Equation with Jamming Noise Figure Effects of the Earth’s Surface on the Radar Equation Atmospheric Attenuation MATLAB Program Listings Linear Systems and Complex Signal Representation Signal and System Classifications 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 Random Variables and Processes Random Variable Multivariate Gaussian Random Vector Rayleigh Random Variables The Chi-Square Random Variables Random Processes Bandpass Gaussian Random Process The Matched Filter The Matched Filter SNR Mean and Variance of the Matched Filter Output General Formula for the Output of the Matched Filter Waveform Resolution and Ambiguity Range and Doppler Uncertainty Target Parameter Estimation The 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 MATLAB Programs and Function The Ambiguity Function—Discrete Coded Waveforms Discrete Code Signal Representation Pulse-Train Codes Phase Coding Frequency Codes Ambiguity Plots for Discrete Coded Waveforms Target Detection and Pulse Integration Target Detection in the Presence of Noise Probability of False Alarm Probability of Detection Pulse Integration Target Fluctuating 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) MATLAB Program and Routines Appendix: The Incomplete Gamma Function Pulse Compression Time-Bandwidth Product Radar Equation with Pulse Compression Basic Principal of Pulse Compression Correlation Processor Stretch Processor MATLAB Program Listings Radar Clutter Clutter Cross Section Density Surface Clutter Volume Clutter Clutter RCS Clutter Spectrum Moving Target Indicator (MTI) PRF Staggering MTI Improvement Factor Subclutter Visibility (SCV) Delay Line Cancelers with Optimal Weights MATLAB Program Listings Doppler Processing CW Radar Functional Block Diagram Pulsed Radars MATLAB Programs and Routines Adaptive Array Processing Introduction General Arrays Linear Arrays Nonadaptive Beamforming Adaptive Array Processing MATLAB Program Listings Bibliography Index Problems appear at the end of each chapter.