This article deals with state estimation of nonlinear stochastic dynamic systems. The stress is
laid on general introduction of the selected estimation methods, description of their …

State estimation is a fundamental task in many engineering fields, and therefore robust
nonlinear filtering techniques able to cope with misspecified, uncertain and/or corrupted …

Global navigation satellite systems (GNSSs) play a key role in intelligent transportation
systems such as autonomous driving or unmanned systems navigation. In such applications …

The state of a system is a variable which fully characterises the status of the system at a
given time. Knowledge of the state is, thus, essential for control or prediction of the system's …

Navigation problems are generally solved applying least-squares (LS) adjustments.
Techniques based on LS can be shown to perform optimally when the system noise is …

Global Navigation Satellite Systems'(GNSS) carrier phase observations are fundamental in
the provision of precise navigation for modern applications in intelligent transport systems …

GNSS attitude determination has been widely adopted due to its high efficiency, absence of
cumulative errors, and ease of installation. However, practical navigation and attitude …

Global Navigation Satellite Systems (GNSS) are the main source of position, navigation, and
timing (PNT) information and will be a key player in the next-generation intelligent …

Urban navigation applications, eg, autonomous driving, require high quality in terms of
accuracy and integrity. The Global Navigation Satellite System (GNSS) sensor is the only …

We consider the robust filtering problem for a state-space model with outliers in correlated
measurements. We propose a new robust filtering framework to further improve the …