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A rigorous introduction to the theory and applications of state estimation and association, an important area in aerospace, electronics, and defense industries.
A rigorous introduction to the theory and applications of state estimation and association, an important area in aerospace, electronics, and defense industries.
Über den Autor
Chaw-Bing Chang is a Senior Staff Member of the BMDS (Ballistic Missile Defense System) Integration Group at MIT Lincoln Laboratory. Chang has forty years of experience in applying estimation and association techniques.
Keh-Ping Dunn is a Senior Staff Member of the BMDS Integration Group at MIT Lincoln Laboratory. Dunn has forty years of experience in applying estimation and association techniques.
Keh-Ping Dunn is a Senior Staff Member of the BMDS Integration Group at MIT Lincoln Laboratory. Dunn has forty years of experience in applying estimation and association techniques.
Inhaltsverzeichnis
Preface xvii
About the Authors xix
Acknowledgments xxi
Introduction xxiii
1 Parameter Estimation 1
2 State Estimation for Linear Systems 51
3 State Estimation for Nonlinear Systems 99
4 Practical Considerations in Kalman Filter Design 141
5 Multiple Model Estimation Algorithms 197
6 Sampling Techniques for State Estimations 227
7 State Estimation with Multiple Sensor Systems 271
8 Estimation and Association with Uncertain Measurement Origin 303
9 Multiple Hypothesis Tracking Algorithm 257
10 Multiple Sensor Correlation and Fusion with Biased Measurements 391
Concluding Remarks 413
Appendix A Matrix Inversion Lemma 417
Appendix B Notation and Variables 419
Appendix C Definition of Terminology Used in Tracking 425
Index 431
About the Authors xix
Acknowledgments xxi
Introduction xxiii
1 Parameter Estimation 1
2 State Estimation for Linear Systems 51
3 State Estimation for Nonlinear Systems 99
4 Practical Considerations in Kalman Filter Design 141
5 Multiple Model Estimation Algorithms 197
6 Sampling Techniques for State Estimations 227
7 State Estimation with Multiple Sensor Systems 271
8 Estimation and Association with Uncertain Measurement Origin 303
9 Multiple Hypothesis Tracking Algorithm 257
10 Multiple Sensor Correlation and Fusion with Biased Measurements 391
Concluding Remarks 413
Appendix A Matrix Inversion Lemma 417
Appendix B Notation and Variables 419
Appendix C Definition of Terminology Used in Tracking 425
Index 431
Details
Erscheinungsjahr: | 2023 |
---|---|
Fachbereich: | Nachrichtentechnik |
Genre: | Importe, Technik |
Rubrik: | Naturwissenschaften & Technik |
Medium: | Taschenbuch |
ISBN-13: | 9780262548915 |
ISBN-10: | 0262548917 |
Sprache: | Englisch |
Einband: | Kartoniert / Broschiert |
Autor: |
Chang, Chaw-Bing
Dunn, Keh-Ping |
Hersteller: | MIT Press |
Verantwortliche Person für die EU: | Libri GmbH, Europaallee 1, D-36244 Bad Hersfeld, gpsr@libri.de |
Maße: | 229 x 178 x 30 mm |
Von/Mit: | Chaw-Bing Chang (u. a.) |
Erscheinungsdatum: | 15.08.2023 |
Gewicht: | 1,184 kg |
Über den Autor
Chaw-Bing Chang is a Senior Staff Member of the BMDS (Ballistic Missile Defense System) Integration Group at MIT Lincoln Laboratory. Chang has forty years of experience in applying estimation and association techniques.
Keh-Ping Dunn is a Senior Staff Member of the BMDS Integration Group at MIT Lincoln Laboratory. Dunn has forty years of experience in applying estimation and association techniques.
Keh-Ping Dunn is a Senior Staff Member of the BMDS Integration Group at MIT Lincoln Laboratory. Dunn has forty years of experience in applying estimation and association techniques.
Inhaltsverzeichnis
Preface xvii
About the Authors xix
Acknowledgments xxi
Introduction xxiii
1 Parameter Estimation 1
2 State Estimation for Linear Systems 51
3 State Estimation for Nonlinear Systems 99
4 Practical Considerations in Kalman Filter Design 141
5 Multiple Model Estimation Algorithms 197
6 Sampling Techniques for State Estimations 227
7 State Estimation with Multiple Sensor Systems 271
8 Estimation and Association with Uncertain Measurement Origin 303
9 Multiple Hypothesis Tracking Algorithm 257
10 Multiple Sensor Correlation and Fusion with Biased Measurements 391
Concluding Remarks 413
Appendix A Matrix Inversion Lemma 417
Appendix B Notation and Variables 419
Appendix C Definition of Terminology Used in Tracking 425
Index 431
About the Authors xix
Acknowledgments xxi
Introduction xxiii
1 Parameter Estimation 1
2 State Estimation for Linear Systems 51
3 State Estimation for Nonlinear Systems 99
4 Practical Considerations in Kalman Filter Design 141
5 Multiple Model Estimation Algorithms 197
6 Sampling Techniques for State Estimations 227
7 State Estimation with Multiple Sensor Systems 271
8 Estimation and Association with Uncertain Measurement Origin 303
9 Multiple Hypothesis Tracking Algorithm 257
10 Multiple Sensor Correlation and Fusion with Biased Measurements 391
Concluding Remarks 413
Appendix A Matrix Inversion Lemma 417
Appendix B Notation and Variables 419
Appendix C Definition of Terminology Used in Tracking 425
Index 431
Details
Erscheinungsjahr: | 2023 |
---|---|
Fachbereich: | Nachrichtentechnik |
Genre: | Importe, Technik |
Rubrik: | Naturwissenschaften & Technik |
Medium: | Taschenbuch |
ISBN-13: | 9780262548915 |
ISBN-10: | 0262548917 |
Sprache: | Englisch |
Einband: | Kartoniert / Broschiert |
Autor: |
Chang, Chaw-Bing
Dunn, Keh-Ping |
Hersteller: | MIT Press |
Verantwortliche Person für die EU: | Libri GmbH, Europaallee 1, D-36244 Bad Hersfeld, gpsr@libri.de |
Maße: | 229 x 178 x 30 mm |
Von/Mit: | Chaw-Bing Chang (u. a.) |
Erscheinungsdatum: | 15.08.2023 |
Gewicht: | 1,184 kg |
Sicherheitshinweis