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Statistical multisource-multitarget information fusion /
This comprehensive resource provides you with an in-depth understanding of finite-set statistics (FISST)? a recently developed method which unifies much of information fusion under a single probabilistic, in fact Bayesian, paradigm. The book helps you master FISST concepts, techniques, and algorithm...
| Clasificación: | Libro Electrónico |
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| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Boston :
Artech House,
©2007.
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| Colección: | Artech House information warfare library.
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| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- Statistical Multisource-MultitargetInformation Fusion; Contents; Preface xxiii; Acknowledgments xxv; Chapter 1 Introduction to the Book; Part I Unified Single-Target Multisource Integration; Chapter 2 Si ngle-Target Filtering 25; Chapter 3 General Data Modeling 89; Chapter 4 Random Set Uncertainty Representations 119; Chapter 5 UGA Measurements 157; Chapter 6AGA Measurements 211; Chapter 7AGU Measurements 249; Chapter 8 Generalized State-Estimates 271; Chapter 9 Finite-Set Measurement 287; Part II Uni ed Multitarget-MultisourceIntegration 305; Chapter 10 Conventional Multitarget Filtering 307
- Chapter 11 Multitarget Calculus 343Chapter 12 Multitarget Likelihood Functions 399; Chapter 13 Multitarget Markov Densities 461; Chapter 14 The Multitarget Bayes Filter 483; Part III Approximate Multitarget Filtering 539; Chapter 15 Multitarget Particle Approximation 541; Chapter 16 Multitarget-Moment Approximation 565; Chapter 17 Multi-Bernoulli Approximation 655; Appendix A Glossary of Notation 683; Appendix BDirac Delta Functions 693; Appendix CGradient Derivatives 695; Appendix DFundamental Gaussian Identity 699; Appendix E Finite Point Processes 705
- Appendix FFISST and Probability Theory 711F.1 MULTIOBJECT PROBABILITY THEORY 711; Appendix G Mathematical Proofs 717; Appendix HSolutions to Exercises 777; References 821; Index 839