| Preface | p. xii |
| The Basics of Multiple-Target Tracking | p. 1 |
| Introduction | p. 1 |
| Basic Processing Definitions | p. 3 |
| Elements of a Basic MTT System | p. 4 |
| Overview of Data Association Issues | p. 11 |
| Suggested Further Background Reading | p. 16 |
| References | p. 16 |
| Methods for Filtering and Prediction | p. 19 |
| Introduction | p. 19 |
| Fixed-Coefficient Filtering | p. 21 |
| Kalman Filtering | p. 25 |
| Approximations and Simplifications of Kalman Filtering | p. 34 |
| Maneuver Detection and Adaptive Filtering | p. 37 |
| Summary and Conclusions | p. 43 |
| References | p. 44 |
| Relationship between Equivalent Noise Bandwidth and Acceleration Error Constant | p. 46 |
| Choice of Tracking Coordinate System and Filtering State Variables | p. 49 |
| Introduction | p. 49 |
| Solution of the Continuous Linear State Equation | p. 51 |
| North-East-Down (NED) Coordinate System | p. 52 |
| Tracking in Cartesian Coordinates | p. 55 |
| Polar Coordinate Systems | p. 56 |
| A Comparative Study of Angle Filtering Methods | p. 65 |
| Tracking with Angle-Only Measurements | p. 72 |
| Summary | p. 72 |
| References | p. 73 |
| Tracking Filter Development | p. 75 |
| Use of Range Rate for NED Velocity Component Estimation | p. 80 |
| Gating and Data Association | p. 83 |
| Introduction | p. 83 |
| Gating Techniques | p. 84 |
| The Assignment Problem | p. 92 |
| Simple Branching or Track Splitting | p. 98 |
| Methods for State Estimation and Covariance Modification to Account for Miscorrelation | p. 101 |
| Summary | p. 105 |
| References | p. 106 |
| Summary of Correlation Statistics | p. 108 |
| Measurement Formation and Processing for Multiple-Target Tracking | p. 115 |
| Introduction | p. 115 |
| Overview of Feedback between Tracking and Detection Functions | p. 116 |
| Adaptive Thresholding for Enhanced Detection and Tracking Performance | p. 117 |
| Measurement Processing for a Clutter Background | p. 124 |
| Observation Redundancy Elimination | p. 126 |
| Methods for Determining Target Multiplicity (Range/Range Rate Resolution) | p. 129 |
| Target Multiplicity Detection through Monopulse Angle Processing | p. 130 |
| Measurement Degradation due to Jet Engine Modulation and Electronic Countermeasures | p. 138 |
| Summary | p. 141 |
| References | p. 142 |
| Derivation of Optimal Threshold Setting | p. 143 |
| Derivations for Target Multiplicity Detection Method | p. 146 |
| Definitions of Track Life Stages (Track Initiation, Confirmation, Deletion, and Quality) | p. 151 |
| Introduction | p. 151 |
| Track Confirmation Using Sequential Analysis | p. 152 |
| Bayesian Track Confirmation | p. 156 |
| Batch Processing Techniques for Track Initiation and Confirmation | p. 159 |
| Indicators of Track Quality (Score) | p. 168 |
| Track Deletion | p. 171 |
| Summary | p. 173 |
| References | p. 174 |
| Approximate Distribution for a Weighted Sum of Chi-Square Variables | p. 176 |
| Score Associated with Clutter Point Designation | p. 177 |
| Analytic Techniques For System Evaluation | p. 179 |
| Introduction | p. 179 |
| Covariance Analysis | p. 179 |
| Techniques for Estimating Correlation Performance | p. 186 |
| Track Confirmation and Retention Statistics Using Markov Chain Techniques | p. 193 |
| Extensions of Markov Chain Techniques | p. 204 |
| Summary | p. 210 |
| References | p. 211 |
| Design Of A Detailed Multiple-Target Tracking Simulation | p. 213 |
| Introduction | p. 213 |
| Generation and Use of Random Numbers | p. 213 |
| Modeling the Radar Detection Process | p. 217 |
| Monte Carlo Simulation Design and Interpretation of Results | p. 223 |
| Selection of Evaluation Statistics | p. 228 |
| Simulation Development | p. 234 |
| References | p. 244 |
| A General Technique for Generating Random Numbers | p. 245 |
| Derivation of the Correlation Properties of an Exponentially Distributed Random Variable | p. 246 |
| A Maximum Likelihood Expression For Data Association | p. 249 |
| Introduction | p. 249 |
| Generalized Technique Development | p. 250 |
| Applications | p. 260 |
| Development of a Sequential Correlation Technique | p. 264 |
| Extension to Multiple Observation-to-Track Correlations | p. 274 |
| Summary | p. 279 |
| References | p. 280 |
| The Bayesian Probabilistic Approach | p. 281 |
| Introduction | p. 281 |
| Multiple Hypothesis Tracking | p. 283 |
| The All-Neighbors Data Association Approach (PDA, JPDA) | p. 299 |
| Concluding Remarks | p. 305 |
| References | p. 306 |
| Group Tracking | p. 309 |
| Introduction | p. 309 |
| Centroid Group Tracking | p. 312 |
| Formation Group Tracking | p. 317 |
| Summary and Extensions | p. 324 |
| References | p. 325 |
| Processing for the Centroid Group Tracking Method | p. 325 |
| Applications Of The Radar Electronically Scanned Antenna To Multiple-Target Tracking | p. 329 |
| Introduction | p. 329 |
| Enhancing Radar Detection with the ESA | p. 331 |
| Adaptive Sampling with the ESA | p. 333 |
| ESA Techniques for Improving Nearest-Neighbor Correlation Performance | p. 342 |
| Implementation of Multiple-Target Tracking Logic for an ESA System | p. 351 |
| Summary | p. 355 |
| References | p. 356 |
| The Use Of Multiple Sensors For Multiple-Target Tracking | p. 357 |
| Introduction | p. 357 |
| Sensor-Level and Central-Level Multiple Sensor Fusion | p. 359 |
| Implementation of Sensor-Level Tracking | p. 363 |
| Fusion and Correlation for Data Including Attributes | p. 368 |
| The Dempster-Shafer (Evidential Reasoning) Method | p. 380 |
| Sensor Allocation | p. 387 |
| Summary | p. 392 |
| References | p. 393 |
| Track Fusion Relationships | p. 395 |
| Special Topics | p. 397 |
| Introduction | p. 397 |
| A Solution for the Optimal Assignment Problem | p. 397 |
| An Implementation Method for Multiple Hypothesis Tracking | p. 402 |
| MTT Implementation in Dense Target Environments | p. 421 |
| A Total System Architecture Including Multiple-Target Tracking | p. 429 |
| References | p. 432 |
| Glossary | p. 433 |
| Index | p. 441 |
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