Adaptive radar resource management /

Description

Front Cover Adaptive Radar Resource Management Copyright Dedication Contents Acknowledgments Chapter 1: Introduction 1.1 The Radar Resource Management Problem 1.1.1 Radar Resources 1.1.2 Radar Terminology 1.1.3 Radar Functions 1.1.4 Radar Resource Management Model 1.2 Outline of This Book Chapter 2: Overview of RRM Techniques 2.1 Introduction 2.2 Artificial Intelligence Algorithms 2.2.1 Neural Networks 2.2.1.1 Task Prioritization 2.2.1.2 Task Scheduling 2.2.1.3 Comments 2.2.2 Expert System 2.2.2.1 Description of the Expert System Approach 2.2.2.2 Comments 2.2.3 Fuzzy Logic 2.2.3.1 Fuzzy Logic Approach 2.2.3.2 Comments 2.2.4 Entropy 2.2.4.1 Entropy Algorithm 2.2.4.2 Comments 2.3 Dynamic Programming Algorithms 2.3.1 An Example 2.3.2 Computational Challenge 2.3.3 Some Dynamic Programming Algorithms 2.3.4 Comments 2.4 Q-RAM Algorithms 2.4.1 Introduction 2.4.2 Mathematical Formulation 2.4.3 Some Q-RAM Algorithms 2.4.3.1 A Framework of Q-RAM 2.4.3.2 Some Q-RAM Algorithms Based on the Resource Management Framework 2.4.3.3 Other Q-RAM Algorithms 2.4.3.4 Comments 2.5 Waveform-Aided Algorithms 2.5.1 Introduction 2.5.2 A Neural Network Algorithm 2.5.3 The Waveform Selective PDA Algorithm 2.5.4 Other Waveform-Aided Algorithms 2.5.5 A Literature Survey of Adaptive Radar 2.5.6 A DARPA Research Program on Adaptive Waveform Design for Naval Applications 2.5.7 Comments 2.6 Adaptive Update Rate Algorithms 2.6.1 Introduction 2.6.2 A Foundation for Adaptive Update Rate Tracking 2.6.3 Adaptive Update Rate IMM-MHT Algorithm 2.6.4 Other Adaptive Update Rate Algorithms 2.6.5 Comments 2.7 The NRL Benchmark Problems and Solutions 2.7.1 The NRL Benchmark Problems 2.7.2 Solutions to the Benchmark Problems 2.7.2.1 Solutions to Benchmark 1 2.7.2.2 Solutions to Benchmark 2 2.7.2.3 A Solution to Benchmark 3 2.7.3 Comments 2.8 Summary Chapter 3: Comparison of Adaptive and Nonadaptive Techniques 3.1 Performance Metrics 3.1.1 Scheduler Performance Metrics 3.1.2 Detection Performance Metrics 3.1.3 Tracker Performance Metrics 3.2 Adapt_MFR Simulation Tool 3.3 Adaptive Techniques 3.3.1 Fuzzy Logic Prioritization 3.3.2 Time-Balancing Scheduling 3.3.3 Adaptive Update Intervals for Tracking 3.4 Performance Comparison Chapter 4: Adaptive Scheduling Techniques 4.1 Optimal Assignment Scheduler 4.1.1 Introduction 4.1.2 Specifics of the Optimal Assignment Scheduler 4.1.3 Time-Balancing Scheduler 4.1.4 Performance Evaluation 4.1.4.1 A Simulation Scenario 4.1.4.2 Performance Comparison 4.1.5 Summary 4.2 Two-Slope Benefit Function Scheduler 4.2.1 Sequential Scheduler 4.2.2 Two-Slope Benefit Function Sub-Scheduler 4.2.2.1 Preliminaries 4.2.2.2 Selection of Look Parameters 4.2.2.3 Radar Loading of Primary Looks Within the Time Window 4.2.2.4 Sub-Scheduler Overview 4.2.2.5 Metrics Calculation 4.2.2.6 Look Down-Selection 4.2.2.7 Start Time Assignment 4.2.2.8 Impact of Look Parameters on Primary Look Schedule 4.2.2.9 Summary 4.2.3 Gap-Filling Sub-Scheduler for Secondary Looks 4.2.3.1 Queue Management for Secondary Look Requests 4.2.3.2 Equal Priority Looks 4.2.3.3 Looks with Unequal Priorities 4.2.3.4 Sub-Scheduler Operation 4.2.4 Scheduling Examples 4.2.4.1 Examples 3A and 3B: Tracking Looks in Condition II 4.2.4.2 Examples 4A and 4B: Tracking Looks in Condition III 4.2.4.3 Summary 4.2.5 Comparison with Orman Scheduler 4.2.6 Simplex Method 4.2.7 Other Forms of the Benefit Function Chapter 5: Radar Resource Management for Networked Radars 5.1 Introduction 5.2 Preliminaries 5.2.1 Radar Networks 5.2.2 Distributed Tracking 5.3 Architecture Concepts for Coordinated Radar Resource Management 5.3.1 Centralized Management Architecture 5.3.2 Distributed Management Architecture 5.3.3 Target Prioritization for Radar Networks 5.4 Distributed Techniques for Coordinated Radar Resource Management 5.4.1 Independent RRM 5.4.2 Type 1 Management 5.4.3 Type 2 Management 5.4.4 Model for Communication Channel Availability 5.5 Two-Radar Network Example 5.6 Summary Chapter 6: Conclusions 6.1 Common Themes 6.2 Future Work Bibliography