org.apache.commons.math.filter
Class DefaultMeasurementModel

java.lang.Object
  org.apache.commons.math.filter.DefaultMeasurementModel

All Implemented Interfaces:

MeasurementModel

public class DefaultMeasurementModel
extends java.lang.Object
implements MeasurementModel

Default implementation of a MeasurementModel for the use with a KalmanFilter.

Version:

$Id$

Constructor Summary

DefaultMeasurementModel(double[][] measMatrix, double[][] measNoise)
Create a new MeasurementModel, taking double arrays as input parameters for the respective measurement matrix and noise.

DefaultMeasurementModel(RealMatrix measMatrix, RealMatrix measNoise)
Create a new MeasurementModel, taking RealMatrix objects as input parameters for the respective measurement matrix and noise.

Method Summary

RealMatrix	getMeasurementMatrix() Returns the measurement matrix.
RealMatrix	getMeasurementNoise() Returns the measurement noise matrix.

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

DefaultMeasurementModel

public DefaultMeasurementModel(double[][] measMatrix,
                               double[][] measNoise)

Create a new MeasurementModel, taking double arrays as input parameters for the respective measurement matrix and noise.

Parameters:

measMatrix - the measurement matrix

measNoise - the measurement noise matrix

DefaultMeasurementModel

public DefaultMeasurementModel(RealMatrix measMatrix,
                               RealMatrix measNoise)

Create a new MeasurementModel, taking RealMatrix objects as input parameters for the respective measurement matrix and noise.

Parameters:

measMatrix - the measurement matrix

measNoise - the measurement noise matrix

Method Detail

getMeasurementMatrix

public RealMatrix getMeasurementMatrix()

Returns the measurement matrix.

Specified by:

getMeasurementMatrix in interface MeasurementModel

Returns:

the measurement matrix

getMeasurementNoise

public RealMatrix getMeasurementNoise()

Returns the measurement noise matrix. This method is called by the KalmanFilter every correct step, so implementations of this interface may return a modified measurement noise depending on current iteration step.

Specified by:

getMeasurementNoise in interface MeasurementModel

Returns:

the measurement noise matrix

See Also:

KalmanFilter.correct(double[]), KalmanFilter.correct(org.apache.commons.math.linear.RealVector)