Nature

Kalman Filtering and State Estimation in Stochastic Systems

Kalman filtering remains a cornerstone of state estimation in stochastic systems, enabling the real‐time integration of noisy measurements into dynamic system models. Originally developed for linear ...
Nature

Kalman Filtering in Multibody System Dynamics

Kalman filtering has emerged as a pivotal tool in the field of multibody system dynamics, offering a robust framework for real-time state and parameter estimation in systems composed of interconnected ...
Embedded

Using nonlinear Kalman filtering to estimate signals

It appears that no particular approximate [nonlinear] filter is consistently better than any other, though . . . any nonlinear filter is better than a strictly linear one. 1 The Kalman filter is a ...
EDN

Kalman or FIR Filter for my IMU?

In configuring my Inertial Measurement Unit (IMU) for post-filtering of the data after the sensor, I see options for both a decimation FIR filter and also a Kalman filter. Which one is best for my ...