Multitarget-multisensor Tracking
Applications and Advances v. 3
By: Yaakov Bar-Shalom (Editor), William Dale Blair (Editor)
Hardcover | 30 September 2000 | Edition Number 2
At a Glance
616 Pages
22.86 x 15.88 x 3.81
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| Preface | p. xiii |
| Introduction | p. xv |
| Practical Aspects of Multisensor Tracking | p. 1 |
| Introduction | p. 1 |
| Multisensor Tracking System Architectures | p. 6 |
| Distributed Tracking With Reporting Responsibility | p. 7 |
| Composite Tracking | p. 10 |
| Coordinate Systems | p. 19 |
| Earth-Centered Coordinates | p. 20 |
| Platform Coordinates | p. 23 |
| Absolute Versus Relative Coordinates | p. 27 |
| Cartesian Versus Spherical | p. 28 |
| Multiplatform-Multisensor Composite Track Filtering | p. 30 |
| Target Motion Model | p. 31 |
| Kinematic State Estimation With Nonlinear Measurements | p. 33 |
| Processing Local Measurements | p. 38 |
| Processing Remote Measurements | p. 41 |
| Time-Delayed, Out-of-Sequence Measurements | p. 43 |
| Maneuvering Targets | p. 45 |
| Gridlock | p. 47 |
| Modeling of Gridlock Errors | p. 48 |
| Relative Gridlock | p. 51 |
| Absolute Gridlock | p. 52 |
| Track Filtering With Remote Measurements | p. 52 |
| Measurement-To-Track Data Association | p. 53 |
| Local Measurements | p. 54 |
| Remote Measurements With Gridlock Errors | p. 57 |
| Choosing an Association Approach | p. 58 |
| Track Management | p. 59 |
| Track Initiation | p. 60 |
| Track Number Management | p. 62 |
| Split or Diverging Tracks | p. 62 |
| Track Swaps | p. 64 |
| Track Deletion | p. 65 |
| Track-to-Track Association for Deleting Redundant Tracks | p. 65 |
| Multisensor Resource Allocation | p. 66 |
| Hardware and Software Considerations | p. 68 |
| CPU and Memory | p. 69 |
| Software Development | p. 70 |
| System Integration Test Considerations | p. 72 |
| Survey of Assignment Techniques for Multitarget Tracking | p. 77 |
| Introduction | p. 77 |
| General Overview | p. 77 |
| Scope | p. 81 |
| Multitarget Tracking Overview | p. 82 |
| Obtain Scan Measurements | p. 83 |
| Data Association Interface | p. 83 |
| Data Association | p. 86 |
| Track Formation and Maintenance | p. 86 |
| 2-D Assignment Techniques | p. 87 |
| 2-D Assignment Problem | p. 87 |
| m-Best 2-D Assignment Problem | p. 89 |
| 2-D Assignment Algorithms | p. 90 |
| m-Best 2-D Assignment Algorithms | p. 101 |
| 2-D Assignment Results | p. 104 |
| Parallelizations of 2-D Assignment Algorithms | p. 108 |
| 2-D Parallelization Results | p. 118 |
| S-D Assignment Techniques | p. 125 |
| S-D Assignment Formulations | p. 127 |
| Lagrangian Relaxation-Based S-D Assignment Algorithms | p. 134 |
| m-best S-D Assignment Algorithm | p. 142 |
| S-D Assignment Results | p. 143 |
| Summary | p. 147 |
| IMM State Estimation | p. 156 |
| Composite Measurement Covariance | p. 159 |
| IMM Estimator with Nearest-Neighbor Joint Probabilistic Data Association | p. 161 |
| Introduction | p. 161 |
| IMM Estimator | p. 164 |
| Probabilistic Data Association Techniques | p. 168 |
| Probabilistic Data Association Filter (PDAF) | p. 173 |
| Joint Probabilistic Data Association Filter (JPDAF) | p. 175 |
| Cheap JPDA | p. 178 |
| Suboptimal JPDA | p. 181 |
| Nearest-Neighbor JPDA (NNJPDA) | p. 183 |
| Combining the IMM and NNJPDA | p. 184 |
| Performance Comparisons | p. 186 |
| Summary and Conclusions | p. 195 |
| Multiassignment for Tracking a Large Number of Overlapping Objects | p. 199 |
| Introduction | p. 199 |
| Background | p. 202 |
| Cell Tracking | p. 202 |
| The Standard Assignment Approach and Motivation for Multiassignment | p. 204 |
| Iterated Multiassignment | p. 207 |
| One-to-One Assignment | p. 207 |
| The Iterated Multiassignment Algorithm | p. 210 |
| Estimation Algorithm | p. 214 |
| Modified PDA Filter | p. 214 |
| Automatic Track Formation and Termination | p. 219 |
| Results | p. 220 |
| Global Performance | p. 220 |
| Computational Load | p. 224 |
| Conclusions | p. 225 |
| Modified Association Costs for the Second-Round Assignments | p. 228 |
| Modified Association Costs for Subsequent Assignment Rounds | p. 229 |
| Pseudocode for Iterated Multiassignment | p. 230 |
| Finite Difference Methods for Nonlinear Filtering and Automatic Target Recognition | p. 233 |
| Introduction | p. 233 |
| Mathematical Formulation | p. 236 |
| Time Evolution | p. 237 |
| Example: The CV Model | p. 238 |
| Boundary Conditions | p. 239 |
| The CT Model | p. 240 |
| The Dyakonov Scheme | p. 241 |
| Thomas' Algorithm | p. 244 |
| Measurement Update | p. 245 |
| Measurement Update With Multimodal Distributions | p. 245 |
| Linear Gaussian Measurements | p. 246 |
| Applications | p. 246 |
| Elevation Tracking in Multipath | p. 246 |
| Low-SNR Point-Target Tracking | p. 248 |
| Joint Tracking and Recognition | p. 251 |
| Discussion | p. 256 |
| Large-Scale Ground Target Tracking With Single and Multiple MTI Sensors | p. 259 |
| Introduction | p. 259 |
| Background | p. 264 |
| Ground Target Tracking Scenario | p. 264 |
| Moving Target Indicator Measurements | p. 267 |
| Solution Methodology | p. 269 |
| Extended Kalman Filter | p. 269 |
| VS-IMM Estimator | p. 272 |
| Adaptive Filter Mode Set Selection | p. 274 |
| Data Association | p. 282 |
| Simulation Results for the Single-Sensor Case | p. 291 |
| Multitarget-Multisensor Tracking Problem | p. 297 |
| Multisensor Fusion Using Assignment | p. 298 |
| Standard S-D Assignment Across Sensors | p. 298 |
| Maximum Time Depth S-D Assignment | p. 302 |
| Tentative Estimates | p. 309 |
| Simulation Results for the Multisensor Case | p. 310 |
| Conclusions | p. 316 |
| Radar Systems Modeling for Tracking | p. 321 |
| Introduction | p. 321 |
| Tracking With Radar Measurements | p. 322 |
| Resolution and Data Association | p. 322 |
| Kinematic State Estimation | p. 326 |
| Overview of Radar Systems | p. 330 |
| Architecture | p. 331 |
| Radar Range Equation | p. 334 |
| Radar Signals and Detections | p. 337 |
| Fixed-Amplitude Target | p. 340 |
| Rayleigh Targets | p. 341 |
| Swerling 4 Targets | p. 343 |
| Rician Targets | p. 343 |
| Jammers | p. 344 |
| Sea-Surface-Induced Multipath | p. 344 |
| Radar Clutter | p. 349 |
| Constant False Alarm Processing | p. 351 |
| Waveforms | p. 354 |
| Unmodulated Pulse | p. 359 |
| Frequency-Modulated Waveforms | p. 360 |
| Phase-Coded Waveforms | p. 368 |
| Doppler Processing | p. 370 |
| Range and Range Rate Measurements | p. 374 |
| Monopulse Angle-Of-Arrival Measurements | p. 376 |
| Monopulse Signals | p. 378 |
| Conventional Monopulse Processing | p. 380 |
| Fixed-Amplitude Targets | p. 381 |
| Rayleigh Target | p. 382 |
| Two Unresolved Rayleigh Targets | p. 383 |
| Elevations Measurements in the Presence of Sea-Surface-Induced Multipath | p. 387 |
| Further Reading | p. 388 |
| ECM Modeling for Multitarget Tracking and Data Association | p. 395 |
| Introduction | p. 395 |
| Overview of Radar | p. 397 |
| Overview of Radar Electronic Countermeasures | p. 399 |
| Importance of ECM in Target Tracking | p. 400 |
| Countermeasures Against Non-Radar Target-Tracking Sensors | p. 401 |
| Radar Background | p. 401 |
| Target-Tracking Radars | p. 402 |
| Angle Processing | p. 402 |
| Radar Waveforms and Processing | p. 404 |
| Radar Phenomenology | p. 406 |
| ECM and ECCM Background | p. 408 |
| ECM System Taxonomy | p. 408 |
| Detection and Acquisition Denial ECM Techniques | p. 410 |
| Track-Break ECM Techniques | p. 414 |
| Electronic Counter-Countermeasures Techniques | p. 418 |
| ECM/ECCM Assumptions for Tracking Studies | p. 424 |
| ECM Effectiveness Analysis Methods | p. 426 |
| Transponder Jammer Analysis | p. 426 |
| Repeater Jammer Analysis | p. 436 |
| Models of ECM in Target Tracking | p. 437 |
| Nomenclature | p. 437 |
| Denial ECM Models | p. 439 |
| Deception ECM Models | p. 442 |
| ECCM in Multitarget Tracking | p. 449 |
| Chi-Square Test for RGPO Rejection | p. 450 |
| Deweighting in the PDAF for RGPO Rejection | p. 452 |
| IMM/MHT Technique for RGPO Rejection | p. 452 |
| Decomposition and Fusion Technique for RGPO Rejection | p. 453 |
| Summary and Future Trends | p. 455 |
| Waveform Detection/Tracking Performance at the System Level | p. 459 |
| Introduction | p. 459 |
| Modeling | p. 462 |
| Detection and Estimation | p. 462 |
| Resolution Cell | p. 469 |
| Target Motion and State Estimation | p. 470 |
| HYCA Analysis Model | p. 471 |
| Results and Discussion for Sonar | p. 473 |
| LFM and CF Waveforms | p. 474 |
| Other Waveforms | p. 483 |
| Swerling 3 Model | p. 483 |
| Results and Discussion for Radar | p. 483 |
| Constant Frequency Pulse Train | p. 486 |
| Linear Frequency Modulated Pulse Train | p. 491 |
| Summary | p. 495 |
| Engineer's Guide to Variable-Structure Multiple-Model Estimation for Tracking | p. 499 |
| Introduction | p. 499 |
| Multiple-Model Estimation | p. 501 |
| General Description | p. 501 |
| Filter Reinitialization and the IMM Algorithm | p. 505 |
| Introduction to VSMM Estimation | p. 508 |
| Limitations of Fixed Structures | p. 510 |
| When Should a Variable Structure Be Used? | p. 512 |
| The Recursive Adaptive Model-Set Approach | p. 513 |
| Model-Set Adaptation | p. 514 |
| Sequential Versus Nonsequential Solutions | p. 514 |
| Model-Set Activation/Generation and Termination | p. 515 |
| Model-Set Adaptation as Hypothesis Testing Problems | p. 516 |
| Model-Set Probability and Likelihood | p. 518 |
| Solutions for Problems Involving Two Model Sets | p. 519 |
| Solutions for Problems Involving More Than Two Model Sets | p. 521 |
| General Discussions of the Solutions | p. 524 |
| Estimation Given a Model-Set Sequence | p. 526 |
| Initialization of New Models and Filters | p. 526 |
| The VSIMM Recursion | p. 528 |
| Fusion of Two MM Estimators | p. 528 |
| VSMM Algorithms | p. 530 |
| Categories of Variable Structures | p. 531 |
| Model-Group Switching Algorithm | p. 533 |
| Likely-Model Set Algorithm | p. 536 |
| Evaluation of MM Algorithms | p. 537 |
| A Maneuvering Target Tracking Example | p. 540 |
| The Problem | p. 540 |
| Design of the MGS Algorithm | p. 540 |
| Design of the LMS Algorithm | p. 544 |
| Common Design Elements | p. 545 |
| Test Scenarios | p. 546 |
| Simulation Results and Discussions | p. 547 |
| Another Maneuvering Target Tracking Example | p. 554 |
| The Problem | p. 556 |
| Design of Fixed-, Switching-, and Adaptive-Grid IMM Algorithms | p. 556 |
| Test Scenarios | p. 557 |
| Simulation Results and Discussions | p. 558 |
| Concluding Remarks | p. 561 |
| Index | p. 569 |
| Table of Contents provided by Syndetics. All Rights Reserved. |
ISBN: 9781580530910
ISBN-10: 1580530915
Series: Artech House Radar Library : Book 3
Published: 30th September 2000
Format: Hardcover
Language: English
Number of Pages: 616
Audience: Professional and Scholarly
Publisher: Artech House Publishers
Country of Publication: US
Edition Number: 2
Dimensions (cm): 22.86 x 15.88 x 3.81
Weight (kg): 0.98
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