Radar Target Detection

ForewordPrefaceAcknowledgmentsList of SymbolsChapter 1 Review of the Radar Range Equation 1-1 Introduction 1-2 The Basic Radar Range Equation 1-3 Noise Bandwidth 1-4 Noise Factor, Noise Figure, and Effective Noise Temperature 1-5 The Radar Range Equation for I.F. Signal-to-Noise Ratio 1-6 The Matched (or North) Filter Receiver 1-7 Marcum's Use of the Radar Range Equation 1-8 Other Useful Forms of the Radar Range Equation 1-9 The Energy Radar Range Equation 1-10 The Radar Range Equation for a Bistatic System 1-11 The Radar Range Equation for a Search Radar 1-12 Summary of Search and Tracking Radar System Losses 1-13 Illustrative Example Using the Search Radar Equation ReferencesChapter 2 Statistical Signal Detection 2-1 Detection 2-2 False Alarm Time, Probability of False Alarm, and False Alarm Number 2-3 Probability of False Alarm versus Bias Level Setting 2-4 Determination of Bias Level Setting 2-5 The Advantages and Disadvantages of Pulse Integration 2-6 General Theory of Probability of Detection as a Function of Probability of False Alarm and Number of Pulses Integrated 2-7 Illustrative Examples for Determining Probability of Detection Using Meyer Plots 2-8 Integration Loss 2-9 Illustrative Examples for Determining Integration Loss and Integration Efficiency Using Meyer Plots 2-10 Collapsing Loss 2-11 Illustrative Example for Determining Collapsing Loss Using Meyer Plots ReferencesChapter 3 Target Models and the Determination of Detection Probability 3-1 Introduction and Historical Background 3-2 Scattering Cross Section and the Target Modeling Problem 3-3 Single-Hit Probability of Detection 3-4 Definition of a Square-Law Detector 3-5 The Nonfluctuating Target Model for N Pulse Returns 3-6 Fluctuating Targets: Swerling's Cases 1 and 2—The Rayleigh Distribution 3-7 Fluctuating Targets: Swerling's Cases 3 and 4—The Chi-Square Distribution with Four Degrees of Freedom 3-8 The Relationship between the Five Standard Target Models and Modern Target Models 3-9 The Linear-Type Envelope Detector 3-10 Best Possible Detector Law 3-11 Other Approaches to the Detection Criteria 3-12 Application of Pulse Radar Results to CW Radar System 3-13 Beam-Shape and Scanning Loss 3-14 A Method of Using Meyer Plots for Optimizing the Number of Pulses Integrated When Accounting for Beam-Shape Loss 3-15 Some Other Contributing Losses ReferencesChapter 4 Meyer Plots—Description and Use 4-1 Basics of Meyer Plots and Target Models 4-2 Illustrative Look-Up Problems Using Meyer Plots and Methods of Interpolation 4-3 Chi-Square Target Models of Arbitrary Degrees of Freedom 4-4 Approximation for Rice Power (One-Dominant-Plus-Rayleigh) Target Model 4-5 Approximation for Log-Normal Target Model 4-6 Approximation of Other Target Density Functions 4-7 Double Threshold and Median Detection 4-8 Recirculating Integrators 4-9 Meyer Plots References Meyer PlotsAppendix Meyer Plots: Techniques Used in their Development A-1 Introduction A-2 The Incomplete Gamma Function A-3 The Case-0 Nonfluctuating Target Model A-4 The Case-1 Target Model—Rayleigh-Distributed Signal with Scan-to-Scan Fluctuation A-5 The Case-2 Target Model—Rayleigh-Distributed Signal with Pulse-to-Pulse Fluctuation A-6 The Case-3 Fluctuating Target Model—Four Degrees of Freedom Chi-Square-Distributed Signal with Scan-to-Scan Fluctuation A-7 The Case-4 Fluctuating Target Model—Four Degrees of Freedom Chi-Square-Distributed Signal with Pulse-to-Pulse Fluctuation A-8 Computation of Bias Level Values ReferencesIndex