insider.si.edu

Fundamentals of Kalman filtering : a practical approach / Paul Zarchan and Howard Musoff

Numerical basics -- Method of least squares -- Recursive least-quares filtering -- Polynomial Kalman filters -- Kalman filters in a nonpolynomial world -- Continuous polynomial Kalman filter -- ...
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 ...
JSTOR Daily

Estimation of states and parameters of multi-axle distributed electric vehicle based on dual unscented Kalman filter

Distributed electric drive technology has become an important trend because of its ability to enhance the dynamic performance of multi-axle heavy vehicle. This article presents a joint estimation of ...
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 ...