Bayesian multiple target tracking / / Lawrence D. Stone [and three others] |
Autore | Stone Lawrence D. <1942-> |
Edizione | [2nd ed.] |
Pubbl/distr/stampa | Boston [Massachusetts] ; ; London [England] : , : Artech House, , 2014 |
Descrizione fisica | 1 online resource (315 p.) |
Disciplina | 621.3848 |
Collana | Artech House Radar Series |
Soggetto topico |
Tracking radar - Mathematics
Bayesian statistical decision theory |
ISBN |
1-5231-1701-X
1-60807-554-0 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Bayesian Multiple Target Tracking Second Edition; Contents; Preface; Introduction; Acknowledgments; Chapter 1 Tracking Problems; 1.1 DESCRIPTION OF TRACKING PROBLEM; 1.2 EXAMPLE 1: TRACKING A SURFACE SHIP; 1.3 EXAMPLE 2: BEARINGS-ONLY TRACKING; 1.4 EXAMPLE 3: PERISCOPE DETECTION AND TRACKING; 1.5 EXAMPLE 4: TRACKING MULTIPLE TARGETS; 1.6 SUMMARY; Chapter 2 Bayesian Inference and Likelihood Functions; 2.1 THE CASE FOR BAYESIAN INFERENCE; 2.2 THE LIKELIHOOD FUNCTION AND BAYES' THEOREM; 2.3 EXAMPLES OF LIKELIHOOD FUNCTIONS; Chapter 3 Single Target Tracking; 3.1 BAYESIAN FILTERING.
3.2 KALMAN FILTERING3.3 PARTICLE FILTER IMPLEMENTATION OF NONLINEARFILTERING; 3.4 SUMMARY; Chapter 4 Classical Multiple Target Tracking; 4.1 MULTIPLE TARGET TRACKING; 4.2 MULTIPLE HYPOTHESIS TRACKING; 4.3 INDEPENDENT MULTIPLE HYPOTHESIS TRACKING; 4.4 LINEAR-GAUSSIAN MULTIPLE HYPOTHESIS TRACKING; 4.5 NONLINEAR JOINT PROBABILISTIC DATA ASSOCIATION; 4.6 PROBABILISTIC MULTIPLE HYPOTHESIS TRACKING; 4.7 SUMMARY; 4.8 NOTES; Chapter 5 Multitarget Intensity Filters; 5.1 POINT PROCESS MODEL OF MULTITARGET STATE; 5.2 iFILTER; 5.3 PHD FILTER; 5.4 PGF APPROACH TO THE iFILTER; 5.5 EXTENDED TARGET FILTERS. 5.6 SUMMARY5.7 NOTES; Chapter 6 Multiple Target Tracking Using Tracker-Generated Measurements; 6.1 MAXIMUM A POSTERIORI PENALTY FUNCTION TRACKING; 6.2 PARTICLE FILTER IMPLEMENTATION; 6.3 LINEAR-GAUSSIAN IMPLEMENTATION; 6.4 EXAMPLES; 6.5 SUMMARY; 6.6 NOTES; 6.7 SENSOR ARRAY OBSERVATION MODEL AND SIGNALPROCESSING; Chapter 7 Likelihood Ratio Detection and Tracking; 7.1 BASIC DEFINITIONS AND RELATIONS; 7.2 LIKELIHOOD RATIO RECURSIONS; 7.3 DECLARING A TARGET PRESENT; 7.4 LOW-SNR EXAMPLES OF LRDT; 7.5 THRESHOLDED DATA WITH HIGH CLUTTER RATE; 7.6 GRID-BASED IMPLEMENTATION. 7.7 MULTIPLE TARGET TRACKING USING LRDT7.8 iLRT; 7.9 SUMMARY; 7.10 NOTES; Appendix: Gaussian Density Lemma; About the Authors; Index. |
Record Nr. | UNINA-9910792137103321 |
Stone Lawrence D. <1942-> | ||
Boston [Massachusetts] ; ; London [England] : , : Artech House, , 2014 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Bayesian multiple target tracking / / Lawrence D. Stone [and three others] |
Autore | Stone Lawrence D. <1942-> |
Edizione | [2nd ed.] |
Pubbl/distr/stampa | Boston [Massachusetts] ; ; London [England] : , : Artech House, , 2014 |
Descrizione fisica | 1 online resource (315 p.) |
Disciplina | 621.3848 |
Collana | Artech House Radar Series |
Soggetto topico |
Tracking radar - Mathematics
Bayesian statistical decision theory |
ISBN |
1-5231-1701-X
1-60807-554-0 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Bayesian Multiple Target Tracking Second Edition; Contents; Preface; Introduction; Acknowledgments; Chapter 1 Tracking Problems; 1.1 DESCRIPTION OF TRACKING PROBLEM; 1.2 EXAMPLE 1: TRACKING A SURFACE SHIP; 1.3 EXAMPLE 2: BEARINGS-ONLY TRACKING; 1.4 EXAMPLE 3: PERISCOPE DETECTION AND TRACKING; 1.5 EXAMPLE 4: TRACKING MULTIPLE TARGETS; 1.6 SUMMARY; Chapter 2 Bayesian Inference and Likelihood Functions; 2.1 THE CASE FOR BAYESIAN INFERENCE; 2.2 THE LIKELIHOOD FUNCTION AND BAYES' THEOREM; 2.3 EXAMPLES OF LIKELIHOOD FUNCTIONS; Chapter 3 Single Target Tracking; 3.1 BAYESIAN FILTERING.
3.2 KALMAN FILTERING3.3 PARTICLE FILTER IMPLEMENTATION OF NONLINEARFILTERING; 3.4 SUMMARY; Chapter 4 Classical Multiple Target Tracking; 4.1 MULTIPLE TARGET TRACKING; 4.2 MULTIPLE HYPOTHESIS TRACKING; 4.3 INDEPENDENT MULTIPLE HYPOTHESIS TRACKING; 4.4 LINEAR-GAUSSIAN MULTIPLE HYPOTHESIS TRACKING; 4.5 NONLINEAR JOINT PROBABILISTIC DATA ASSOCIATION; 4.6 PROBABILISTIC MULTIPLE HYPOTHESIS TRACKING; 4.7 SUMMARY; 4.8 NOTES; Chapter 5 Multitarget Intensity Filters; 5.1 POINT PROCESS MODEL OF MULTITARGET STATE; 5.2 iFILTER; 5.3 PHD FILTER; 5.4 PGF APPROACH TO THE iFILTER; 5.5 EXTENDED TARGET FILTERS. 5.6 SUMMARY5.7 NOTES; Chapter 6 Multiple Target Tracking Using Tracker-Generated Measurements; 6.1 MAXIMUM A POSTERIORI PENALTY FUNCTION TRACKING; 6.2 PARTICLE FILTER IMPLEMENTATION; 6.3 LINEAR-GAUSSIAN IMPLEMENTATION; 6.4 EXAMPLES; 6.5 SUMMARY; 6.6 NOTES; 6.7 SENSOR ARRAY OBSERVATION MODEL AND SIGNALPROCESSING; Chapter 7 Likelihood Ratio Detection and Tracking; 7.1 BASIC DEFINITIONS AND RELATIONS; 7.2 LIKELIHOOD RATIO RECURSIONS; 7.3 DECLARING A TARGET PRESENT; 7.4 LOW-SNR EXAMPLES OF LRDT; 7.5 THRESHOLDED DATA WITH HIGH CLUTTER RATE; 7.6 GRID-BASED IMPLEMENTATION. 7.7 MULTIPLE TARGET TRACKING USING LRDT7.8 iLRT; 7.9 SUMMARY; 7.10 NOTES; Appendix: Gaussian Density Lemma; About the Authors; Index. |
Record Nr. | UNINA-9910807664803321 |
Stone Lawrence D. <1942-> | ||
Boston [Massachusetts] ; ; London [England] : , : Artech House, , 2014 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Bayesian multiple target tracking / Lawrence D. Stone, Carl A. Barlow, Thomas L. Corwin |
Autore | Stone, Lawrence D., 1942- |
Pubbl/distr/stampa | Boston : Artech House, c1999 |
Descrizione fisica | xviii, 299 p. : ill. ; 24 cm |
Disciplina | 621.3848 |
Altri autori (Persone) |
Barlow, Carl A.
Corwin, Thomas L. |
Collana | Artech House radar library |
Soggetto topico |
Tracking radar - Mathematics
Bayesian statistical decision theory Multisensor data fusion |
ISBN | 1580530249 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNISALENTO-991000285479707536 |
Stone, Lawrence D., 1942- | ||
Boston : Artech House, c1999 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. del Salento | ||
|
Bayesian multiple target tracking / / Lawrence D. Stone [and three others] |
Edizione | [2nd ed.] |
Pubbl/distr/stampa | Boston [Massachusetts] ; ; London [England] : , : Artech House, , 2014 |
Descrizione fisica | 1 online resource (315 p.) |
Disciplina | 621.3848 |
Collana | Artech House Radar Series |
Soggetto topico |
Tracking radar - Mathematics
Bayesian statistical decision theory |
Soggetto genere / forma | Electronic books. |
ISBN |
1-5231-1701-X
1-60807-554-0 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Bayesian Multiple Target Tracking Second Edition; Contents; Preface; Introduction; Acknowledgments; Chapter 1 Tracking Problems; 1.1 DESCRIPTION OF TRACKING PROBLEM; 1.2 EXAMPLE 1: TRACKING A SURFACE SHIP; 1.3 EXAMPLE 2: BEARINGS-ONLY TRACKING; 1.4 EXAMPLE 3: PERISCOPE DETECTION AND TRACKING; 1.5 EXAMPLE 4: TRACKING MULTIPLE TARGETS; 1.6 SUMMARY; Chapter 2 Bayesian Inference and Likelihood Functions; 2.1 THE CASE FOR BAYESIAN INFERENCE; 2.2 THE LIKELIHOOD FUNCTION AND BAYES' THEOREM; 2.3 EXAMPLES OF LIKELIHOOD FUNCTIONS; Chapter 3 Single Target Tracking; 3.1 BAYESIAN FILTERING.
3.2 KALMAN FILTERING3.3 PARTICLE FILTER IMPLEMENTATION OF NONLINEARFILTERING; 3.4 SUMMARY; Chapter 4 Classical Multiple Target Tracking; 4.1 MULTIPLE TARGET TRACKING; 4.2 MULTIPLE HYPOTHESIS TRACKING; 4.3 INDEPENDENT MULTIPLE HYPOTHESIS TRACKING; 4.4 LINEAR-GAUSSIAN MULTIPLE HYPOTHESIS TRACKING; 4.5 NONLINEAR JOINT PROBABILISTIC DATA ASSOCIATION; 4.6 PROBABILISTIC MULTIPLE HYPOTHESIS TRACKING; 4.7 SUMMARY; 4.8 NOTES; Chapter 5 Multitarget Intensity Filters; 5.1 POINT PROCESS MODEL OF MULTITARGET STATE; 5.2 iFILTER; 5.3 PHD FILTER; 5.4 PGF APPROACH TO THE iFILTER; 5.5 EXTENDED TARGET FILTERS. 5.6 SUMMARY5.7 NOTES; Chapter 6 Multiple Target Tracking Using Tracker-Generated Measurements; 6.1 MAXIMUM A POSTERIORI PENALTY FUNCTION TRACKING; 6.2 PARTICLE FILTER IMPLEMENTATION; 6.3 LINEAR-GAUSSIAN IMPLEMENTATION; 6.4 EXAMPLES; 6.5 SUMMARY; 6.6 NOTES; 6.7 SENSOR ARRAY OBSERVATION MODEL AND SIGNALPROCESSING; Chapter 7 Likelihood Ratio Detection and Tracking; 7.1 BASIC DEFINITIONS AND RELATIONS; 7.2 LIKELIHOOD RATIO RECURSIONS; 7.3 DECLARING A TARGET PRESENT; 7.4 LOW-SNR EXAMPLES OF LRDT; 7.5 THRESHOLDED DATA WITH HIGH CLUTTER RATE; 7.6 GRID-BASED IMPLEMENTATION. 7.7 MULTIPLE TARGET TRACKING USING LRDT7.8 iLRT; 7.9 SUMMARY; 7.10 NOTES; Appendix: Gaussian Density Lemma; About the Authors; Index. |
Record Nr. | UNINA-9910465184203321 |
Boston [Massachusetts] ; ; London [England] : , : Artech House, , 2014 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Beyond the Kalman filter : particle filters for tracking applications / Branko Ristic, Sanjeev Arulampalam, Neil Gordon |
Autore | Ristic, Branko |
Pubbl/distr/stampa | Boston, MA : Artech House, 2004 |
Descrizione fisica | xiii, 299 p. : ill. ; 24 cm |
Disciplina | 621.3848 |
Altri autori (Persone) |
Arulampalam, Sanjeev.author
Gordon, Neil, 1967-author |
Collana | Artech House radar library |
Soggetto topico |
Tracking radar - Mathematics
Kalman filtering Radar defense networks - United States |
ISBN | 158053631X |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNISALENTO-991003925429707536 |
Ristic, Branko | ||
Boston, MA : Artech House, 2004 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. del Salento | ||
|
Tracking and Kalman filtering made easy |
Autore | Brookner Eli |
Edizione | [Reissue] |
Pubbl/distr/stampa | [Place of publication not identified], : Wiley, 1998 |
Descrizione fisica | 1 online resource (XXIII, 463 p.) |
Disciplina | 621.3848 |
Soggetto topico |
Electric filters - Mathematics
Tracking radar - Mathematics Kalman filtering Electrical & Computer Engineering Engineering & Applied Sciences Electrical Engineering |
ISBN |
1-280-55638-2
9786610556380 0-470-30528-2 0-471-22419-7 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | G-h and g-h-k filters -- Kalman filter -- Practical issues for radar tracking -- Least-squares and minimum-variance estimates for linear time-invariant systems -- Fixed-memory polynomial filter -- Expanding-memory (growing-memory) polynomial filters -- Fading-memory (discounted least-squares) filter -- General form for linear time-invariant system -- General recursive minimum-variance growing-memory filter (Bayes and Kalman filters without target process noise) -- Voltage least-squares algorithms revisited -- Givens orthonormal transformation -- Householder orthonormal transformation -- Gram-Schmidt orthonormal transformation -- More on voltage-processing techniques -- Linear time-variant system -- Nonlinear observation scheme and dynamic model (extended Kalman filter) -- Bayes algorithm with iterative differential correction for nonlinear systems -- Kalman filter revisited. |
Record Nr. | UNINA-9910146088003321 |
Brookner Eli | ||
[Place of publication not identified], : Wiley, 1998 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|