The nonlinear filtering problem has enduringly been an active research topic in both
academia and industry due to its ever-growing theoretical importance and practical …

Communication delay and non-Gaussian noise are challenging issues for underwater
navigation and positioning. This study proposes a filtering algorithm for strapdown inertial …

In this letter, a generalized measurement model (GMM) is established under the attack
injecting additive and multiplicative false data, simultaneously. The GMM can be applied to …

In this study, to cope with time-varying delay in acoustic communication under non-Gaussian
noise caused by outliers, a novel robust delay filtering algorithm is proposed for cooperative …

Nonlinear Estimation: Methods and Applications with Deterministic Sample Points focusses
on a comprehensive treatment of deterministic sample point filters (also called Gaussian …

The unbiased finite impulse response (UFIR) filtering approach is developed for discrete-
time state-space models with time-stamped discretely delayed and missing data. The model …

Traditionally, connected vehicles (CVs) share their own sensor data that relies on the
satellite with their surrounding vehicles by vehicle-to-vehicle (V2V) communication …

A novel robust filter called a Huber M-estimation delay Kalman filter is proposed for a
strapdown inertial navigation system/ultra-short baseline (SINS/USBL) integrated navigation …

This article designs an advanced Gaussian filtering algorithm for improving accuracy in the
presence of time-delay in measurements. The proposed method uses a Bernoulli random …

Approximate filtering algorithms in nonlinear systems assume Gaussian prior and predictive
density and remain popular due to ease of implementation as well as acceptable …