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java.lang.Objectorg.apache.commons.math3.filter.DefaultMeasurementModel
public class DefaultMeasurementModel
Default implementation of a MeasurementModel
for the use with a
KalmanFilter
.
Field Summary | |
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private RealMatrix |
measurementMatrix
The measurement matrix, used to associate the measurement vector to the internal state estimation vector. |
private RealMatrix |
measurementNoise
The measurement noise covariance matrix. |
Constructor Summary | |
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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 | |
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RealMatrix |
getMeasurementMatrix()
Returns the measurement matrix. |
RealMatrix |
getMeasurementNoise()
Returns the measurement noise matrix. |
Methods inherited from class java.lang.Object |
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clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
Field Detail |
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private RealMatrix measurementMatrix
private RealMatrix measurementNoise
Constructor Detail |
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public DefaultMeasurementModel(double[][] measMatrix, double[][] measNoise)
MeasurementModel
, taking double arrays as input
parameters for the respective measurement matrix and noise.
measMatrix
- the measurement matrixmeasNoise
- the measurement noise matrixpublic DefaultMeasurementModel(RealMatrix measMatrix, RealMatrix measNoise)
MeasurementModel
, taking RealMatrix
objects
as input parameters for the respective measurement matrix and noise.
measMatrix
- the measurement matrixmeasNoise
- the measurement noise matrixMethod Detail |
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public RealMatrix getMeasurementMatrix()
getMeasurementMatrix
in interface MeasurementModel
public RealMatrix getMeasurementNoise()
KalmanFilter
every correct step, so implementations of this
interface may return a modified measurement noise depending on current
iteration step.
getMeasurementNoise
in interface MeasurementModel
KalmanFilter.correct(double[])
,
KalmanFilter.correct(org.apache.commons.math3.linear.RealVector)
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