A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking

10.1109/29.52700

10.1111/j.1467-9892.1982.tb00349.x

10.1109/IFIC.2000.859873

10.1109/TAES.2005.1468758

10.1007/978-1-4757-3437-9_12

10.1109/ICASSP.1992.226023

ripley, 1987, Stochastic Simulation, 10.1002/9780470316726

10.1109/MASSP.1986.1165342

10.1109/5.18626

10.2307/2670179

crisan, 1999, Non-linear filtering using branching and interacting particle systems, Markov Processes Related Fields, 5, 293

van der merwe, 2000, The unscented particle filter, Adv Neural Inform Process Syst

del moral, 0, Non-linear filtering: Interacting particle solution, Markov Processes Related Fields, 2, 555

doucet, 1998, On sequential Monte Carlo methods for Bayesian filtering

10.1007/978-1-4757-3437-9_1

10.1023/A:1008935410038

10.1109/78.905890

godsill, 2000, Methodology for Monte Carlo smoothing with application to time-varying autoregressions, Proc Int Symp Frontiers Time Series Modeling

10.1049/ip-f-2.1993.0015

10.1109/PROC.1973.9030

10.1111/1467-9868.00280

10.2307/2669847

10.1023/A:1017920621802

10.1007/978-1-4757-3437-9_10

bergman, 1999, Recursive Bayesian estimation Navigation and tracking applications

10.1049/ip-rsn:19990255

10.1109/ICCV.1999.791275

10.2307/2290282

clapp, 2001, Improvement strategies for Monte Carlo particle filters, Sequential Monte Carlo Methods in Practice

clapp, 2000, Statistical methods for the processing of communications data

bar-shalom, 1995, Multitarget–Multisensor Tracking Principles and Techniques

10.1214/aoap/1028903535

arulampalam, 2000, Comparison of the particle filter with range parameterized and modified polar EKF's for angle-only tracking, Proc SPIE, 4048, 288, 10.1117/12.391985

10.1109/18.476310

jazwinski, 1970, Stochastic Processes and Filtering Theory

10.1109/TAC.1964.1105763

10.1109/ASSPCC.2000.882463

kanazawa, 1995, Stochastic simulation algorithms for dynamic probabilistic networks, Proc Eleventh Annu Conf Uncertainty AI, 346

west, 1997, Bayesian forecasting and dynamic models, Springer series in statistics

10.1117/12.324626

10.1007/978-1-4612-0761-0

10.1002/0471221546.ch7

10.1080/10618600.1996.10474692