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Multiple-target tracking with radar applications / Samuel S. Blackman.
LIBRA TK6580 .B49 1986
Available from offsite location
- Format:
- Book
- Author/Creator:
- Blackman, Samuel S.
- Series:
- Artech House radar library
- Artech House radar library.
- Language:
- English
- Subjects (All):
- Tracking radar.
- Physical Description:
- xiv, 449 pages : illustrations ; 24 cm.
- Place of Publication:
- Norwood, MA : Artech House, [1986]
- Contents:
- Chapter 1 The Basics of Multiple-Target Tracking 1
- 1.2 Basic Processing Definitions 3
- 1.3 Elements of a Basic MTT System 4
- 1.4 Overview of Data Association Issues 11
- 1.5 Suggested Further Background Reading 16
- Chapter 2 Methods for Filtering and Prediction 19
- 2.2 Fixed-Coefficient Filtering 21
- 2.3 Kalman Filtering 25
- 2.4 Approximations and Simplifications of Kalman Filtering 34
- 2.5 Maneuver Detection and Adaptive Filtering 37
- Appendix 2A Relationship between Equivalent Noise Bandwidth and Acceleration Error Constant 46
- Chapter 3 Choice of Tracking Coordinate System and Filtering State Variables 49
- 3.2 Solution of the Continuous Linear State Equation 51
- 3.3 North-East-Down (NED) Coordinate System 52
- 3.4 Tracking in Cartesian Coordinates 55
- 3.5 Polar Coordinate Systems 56
- 3.6 A Comparative Study of Angle Filtering Methods 65
- 3.7 Tracking with Angle-Only Measurements 72
- Appendix 3A Tracking Filter Development 75
- Appendix 3B Use of Range Rate for NED Velocity Component Estimation 80
- Chapter 4 Gating and Data Association 83
- 4.2 Gating Techniques 84
- 4.3 The Assignment Problem 92
- 4.4 Simple Branching or Track Splitting 98
- 4.5 Methods for State Estimation and Covariance Modification to Account for Miscorrelation 101
- Appendix 4A Summary of Correlation Statistics 108
- Chapter 5 Measurement Formation and Processing for Multiple-Target Tracking 115
- 5.2 Overview of Feedback between Tracking and Detection Functions 116
- 5.3 Adaptive Thresholding for Enhanced Detection and Tracking Performance 117
- 5.4 Measurement Processing for a Clutter Background 124
- 5.5 Observation Redundancy Elimination 126
- 5.6 Methods for Determining Target Multiplicity (Range/Range Rate Resolution) 129
- 5.7 Target Multiplicity Detection through Monopulse Angle Processing 130
- 5.8 Measurement Degradation due to Jet Engine Modulation and Electronic Countermeasures 138
- Appendix 5A Derivation of Optimal Threshold Setting 143
- Appendix 5B Derivations for Target Multiplicity Detection Method 146
- Chapter 6 Definitions of Track Life Stages (Track Initiation, Confirmation, Deletion, and Quality) 151
- 6.2 Track Confirmation Using Sequential Analysis 152
- 6.3 Bayesian Track Confirmation 156
- 6.4 Batch Processing Techniques for Track Initiation and Confirmation 159
- 6.5 Indicators of Track Quality (Score) 168
- 6.6 Track Deletion 171
- Appendix 6A Approximate Distribution for a Weighted Sum of Chi-Square Variables 176
- Appendix 6B Score Associated with Clutter Point Designation 177
- Chapter 7 Analytic Techniques For System Evaluation 179
- 7.2 Covariance Analysis 179
- 7.3 Techniques for Estimating Correlation Performance 186
- 7.4 Track Confirmation and Retention Statistics Using Markov Chain Techniques 193
- 7.5 Extensions of Markov Chain Techniques 204
- Chapter 8 Design Of A Detailed Multiple-Target Tracking Simulation 213
- 8.2 Generation and Use of Random Numbers 213
- 8.3 Modeling the Radar Detection Process 217
- 8.4 Monte Carlo Simulation Design and Interpretation of Results 223
- 8.5 Selection of Evaluation Statistics 228
- 8.6 Simulation Development 234
- Appendix 8A A General Technique for Generating Random Numbers 245
- Appendix 8B Derivation of the Correlation Properties of an Exponentially Distributed Random Variable 246
- Chapter 9 A Maximum Likelihood Expression For Data Association 249
- 9.2 Generalized Technique Development 250
- 9.3 Applications 260
- 9.4 Development of a Sequential Correlation Technique 264
- 9.5 Extension to Multiple Observation-to-Track Correlations 274
- Chapter 10 The Bayesian Probabilistic Approach 281
- 10.2 Multiple Hypothesis Tracking 283
- 10.3 The All-Neighbors Data Association Approach (PDA, JPDA) 299
- Chapter 11 Group Tracking 309
- 11.2 Centroid Group Tracking 312
- 11.3 Formation Group Tracking 317
- 11.4 Summary and Extensions 324
- Appendix 11A Processing for the Centroid Group Tracking Method 325
- Chapter 12 Applications Of The Radar Electronically Scanned Antenna To Multiple-Target Tracking 329
- 12.2 Enhancing Radar Detection with the ESA 331
- 12.3 Adaptive Sampling with the ESA 333
- 12.4 ESA Techniques for Improving Nearest-Neighbor Correlation Performance 342
- 12.5 Implementation of Multiple-Target Tracking Logic for an ESA System 351
- Chapter 13 The Use Of Multiple Sensors For Multiple-Target Tracking 357
- 13.2 Sensor-Level and Central-Level Multiple Sensor Fusion 359
- 13.3 Implementation of Sensor-Level Tracking 363
- 13.4 Fusion and Correlation for Data Including Attributes 368
- 13.5 The Dempster-Shafer (Evidential Reasoning) Method 380
- 13.6 Sensor Allocation 387
- Appendix 13A Track Fusion Relationships 395
- Chapter 14 Special Topics 397
- 14.2 A Solution for the Optimal Assignment Problem 397
- 14.3 An Implementation Method for Multiple Hypothesis Tracking 402
- 14.4 MTT Implementation in Dense Target Environments 421
- 14.5 A Total System Architecture Including Multiple-Target Tracking 429.
- Notes:
- Includes bibliographies and index.
- ISBN:
- 0890061793
- OCLC:
- 13428286
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