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Java example source code file (DefaultMeasurementModel.java)

This example Java source code file (DefaultMeasurementModel.java) is included in the alvinalexander.com "Java Source Code Warehouse" project. The intent of this project is to help you "Learn Java by Example" TM.

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Java - Java tags/keywords

array2drowrealmatrix, defaultmeasurementmodel, dimensionmismatchexception, nodataexception, nullargumentexception, realmatrix

The DefaultMeasurementModel.java Java example source code

/*
 * Licensed to the Apache Software Foundation (ASF) under one or more
 * contributor license agreements.  See the NOTICE file distributed with
 * this work for additional information regarding copyright ownership.
 * The ASF licenses this file to You under the Apache License, Version 2.0
 * (the "License"); you may not use this file except in compliance with
 * the License.  You may obtain a copy of the License at
 *
 *      http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */
package org.apache.commons.math3.filter;

import org.apache.commons.math3.exception.DimensionMismatchException;
import org.apache.commons.math3.exception.NoDataException;
import org.apache.commons.math3.exception.NullArgumentException;
import org.apache.commons.math3.linear.Array2DRowRealMatrix;
import org.apache.commons.math3.linear.RealMatrix;

/**
 * Default implementation of a {@link MeasurementModel} for the use with a {@link KalmanFilter}.
 *
 * @since 3.0
 */
public class DefaultMeasurementModel implements MeasurementModel {

    /**
     * The measurement matrix, used to associate the measurement vector to the
     * internal state estimation vector.
     */
    private RealMatrix measurementMatrix;

    /**
     * The measurement noise covariance matrix.
     */
    private RealMatrix measurementNoise;

    /**
     * Create a new {@link MeasurementModel}, taking double arrays as input parameters for the
     * respective measurement matrix and noise.
     *
     * @param measMatrix
     *            the measurement matrix
     * @param measNoise
     *            the measurement noise matrix
     * @throws NullArgumentException
     *             if any of the input matrices is {@code null}
     * @throws NoDataException
     *             if any row / column dimension of the input matrices is zero
     * @throws DimensionMismatchException
     *             if any of the input matrices is non-rectangular
     */
    public DefaultMeasurementModel(final double[][] measMatrix, final double[][] measNoise)
            throws NullArgumentException, NoDataException, DimensionMismatchException {
        this(new Array2DRowRealMatrix(measMatrix), new Array2DRowRealMatrix(measNoise));
    }

    /**
     * Create a new {@link MeasurementModel}, taking {@link RealMatrix} objects
     * as input parameters for the respective measurement matrix and noise.
     *
     * @param measMatrix the measurement matrix
     * @param measNoise the measurement noise matrix
     */
    public DefaultMeasurementModel(final RealMatrix measMatrix, final RealMatrix measNoise) {
        this.measurementMatrix = measMatrix;
        this.measurementNoise = measNoise;
    }

    /** {@inheritDoc} */
    public RealMatrix getMeasurementMatrix() {
        return measurementMatrix;
    }

    /** {@inheritDoc} */
    public RealMatrix getMeasurementNoise() {
        return measurementNoise;
    }
}

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