Kalman filter for an one dimensional constant position model. More...

Detailed Description

Kalman filter for an one dimensional constant position model.

This class provides a Kalman filter for an one dimensional constant position model. It's a simple one dimensional Kalman filter.

Definition at line 12 of file constPositionKF.hpp.

Public Member Functions
void	initKF (double initPos, double initVar)
	Initialices the Kalman filter with initPos and initVar.
void	updateKF (double y, double sigmaY, double sigmaV)
	Updates the Kalman Filter and updates the prediction for the next step (see getPred())
void	getPred (double &pos, double &c11)
	Provides a state prediction with its variance.
double	getPosPred ()
	Provides a state prediction.
double	getPosVar ()
	Provides the variance of the state prediction.
Private Attributes
double	x1
double	cov11
	> position
double	x1Pred
	> variance position
double	cov11Pred
	> position prediction

Member Function Documentation

void jafar::lines::ConstPositionKF::updateKF	(	double	y,
		double	sigmaY,
		double	sigmaV
	)

Updates the Kalman Filter and updates the prediction for the next step (see getPred())

Parameters:

y	is the new measurement for the position
sigmaY	is the variance of the measurement
sigmaV	is the process noise and weights the old measurements

The documentation for this class was generated from the following file: