Kalman filter

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Kalman filter

[′kal·mən ‚fil·tər]
(control systems)
A linear system in which the mean squared error between the desired output and the actual output is minimized when the input is a random signal generated by white noise.
References in periodicals archive ?
Edge-Adaptive Kalman Filtering for Image Restoration with Ringing Suppression", IEEE Transactions on Acoustics, Speech and Signal Processing, 17(6): 892-899.
He also authored publications dealing with inertial and terminal guidance system performance, simulation techniques, Kalman filtering and numerical techniques applied to estimation problems.
Using these models, estimation schemes have been developed based on the Kalman filtering technique.
The agent then estimates the state using a standard Kalman filtering equation.
The researchers created a time-varying model estimated by the extended Kalman filtering technique.
The Kalman Filtering approach provides an efficient recursive means to estimate the state of a process, in a way that minimizes the mean of the squared error.
The topics are modeling of tire and vehicle dynamics, estimation methods based on Kalman filtering, estimating the vertical and lateral tire forces, and experimental results of embedded real-time system for estimating vehicle state.
Using the STM32 microcontroller as the core control board, the snake-shaped robot acquires data from the accelerometer, the gyroscope and the magnetometer on the iNEMO board and performs sensor data fusion using an extended Kalman filtering algorithm.
Kalman filtering consists of two steps, prediction and correction.
In Section 2, we recall the basics of Kalman filtering and ensemble methods.
Includes an appendix offering specific equations for extended Kalman filtering (EKF) implementation.
As in classical Kalman filtering, this state estimator alternates prediction and correction.