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Data assimilation in the geosciences: An overview of methods, issues, and perspectives
We commonly refer to state estimation theory in geosciences as data assimilation (DA). This
term encompasses the entire sequence of operations that, starting from the observations of a …
term encompasses the entire sequence of operations that, starting from the observations of a …
[PDF][PDF] A tutorial on particle filtering and smoothing: Fifteen years later
Optimal estimation problems for non-linear non-Gaussian state-space models do not
typically admit analytic solutions. Since their introduction in 1993, particle filtering methods …
typically admit analytic solutions. Since their introduction in 1993, particle filtering methods …
Particle filters: A hands-on tutorial
The particle filter was popularized in the early 1990s and has been used for solving
estimation problems ever since. The standard algorithm can be understood and …
estimation problems ever since. The standard algorithm can be understood and …
Resampling methods for particle filtering: classification, implementation, and strategies
Two decades ago, with the publication, we witnessed the rebirth of particle filtering (PF) as a
methodology for sequential signal processing. Since then, PF has become very popular …
methodology for sequential signal processing. Since then, PF has become very popular …
[PDF][PDF] Multitarget tracking
Multitarget tracking (MTT) refers to the problem of jointly estimating the number of targets
and their states or trajectories from noisy sensor measurements. MTT has a long history …
and their states or trajectories from noisy sensor measurements. MTT has a long history …
Statistical inference for partially observed Markov processes via the R package pomp
Partially observed Markov process (POMP) models, also known as hidden Markov models
or state space models, are ubiquitous tools for time series analysis. The R package pomp …
or state space models, are ubiquitous tools for time series analysis. The R package pomp …
Intelligent particle filter and its application to fault detection of nonlinear system
The particle filter (PF) provides a kind of novel technique for estimating the hidden states of
the nonlinear and/or non-Gaussian systems. However, the general PF always suffers from …
the nonlinear and/or non-Gaussian systems. However, the general PF always suffers from …