use of org.orekit.estimation.Context in project Orekit by CS-SI.
the class BatchLSEstimatorTest method testWrappedException.
@Test
public void testWrappedException() throws OrekitException {
Context context = EstimationTestUtils.eccentricContext("regular-data:potential:tides");
final NumericalPropagatorBuilder propagatorBuilder = context.createBuilder(OrbitType.KEPLERIAN, PositionAngle.TRUE, true, 1.0e-6, 60.0, 1.0);
// create perfect range measurements
final Propagator propagator = EstimationTestUtils.createPropagator(context.initialOrbit, propagatorBuilder);
final List<ObservedMeasurement<?>> measurements = EstimationTestUtils.createMeasurements(propagator, new RangeMeasurementCreator(context), 1.0, 3.0, 300.0);
// create orbit estimator
final BatchLSEstimator estimator = new BatchLSEstimator(new LevenbergMarquardtOptimizer(), propagatorBuilder);
for (final ObservedMeasurement<?> range : measurements) {
estimator.addMeasurement(range);
}
estimator.setParametersConvergenceThreshold(1.0e-2);
estimator.setMaxIterations(10);
estimator.setMaxEvaluations(20);
estimator.setObserver(new BatchLSObserver() {
/**
* {@inheritDoc}
*/
@Override
public void evaluationPerformed(int iterationsCount, int evaluationscount, Orbit[] orbits, ParameterDriversList estimatedOrbitalParameters, ParameterDriversList estimatedPropagatorParameters, ParameterDriversList estimatedMeasurementsParameters, EstimationsProvider evaluationsProvider, Evaluation lspEvaluation) throws DummyException {
throw new DummyException();
}
});
try {
EstimationTestUtils.checkFit(context, estimator, 3, 4, 0.0, 1.5e-6, 0.0, 3.2e-6, 0.0, 3.8e-7, 0.0, 1.5e-10);
Assert.fail("an exception should have been thrown");
} catch (DummyException de) {
// expected
}
}
use of org.orekit.estimation.Context in project Orekit by CS-SI.
the class PVTest method testPVWithCovarianceMatrix.
/**
* Test the PV constructor with one 6x6 covariance matrix as input.
* @throws OrekitException
*/
@Test
public void testPVWithCovarianceMatrix() throws OrekitException {
// Context
Context context = EstimationTestUtils.eccentricContext("regular-data:potential:tides");
// Dummy P, V, T
final Vector3D position = context.initialOrbit.getPVCoordinates().getPosition();
final Vector3D velocity = context.initialOrbit.getPVCoordinates().getVelocity();
final AbsoluteDate date = context.initialOrbit.getDate();
// Initialize standard deviations, weight and corr coeff
final double[] sigmaPV = { 10., 20., 30., 0.1, 0.2, 0.3 };
final double baseWeight = 0.5;
final double[][] corrCoefRef = new double[6][6];
for (int i = 0; i < 6; i++) {
for (int j = 0; j < 6; j++) {
if (i == j) {
corrCoefRef[i][i] = 1.;
} else {
corrCoefRef[i][j] = i + j + 1;
}
}
}
// Reference covariance matrix
final double[][] Pref = new double[6][6];
for (int i = 0; i < 6; i++) {
for (int j = 0; j < 6; j++) {
Pref[i][j] = corrCoefRef[i][j] * sigmaPV[i] * sigmaPV[j];
}
}
// Reference propagator numbers
final int[] propNumRef = { 0, 2 };
// Create PV measurements
final PV[] pvs = new PV[2];
pvs[0] = new PV(date, position, velocity, Pref, baseWeight);
pvs[1] = new PV(date, position, velocity, Pref, baseWeight, propNumRef[1]);
// Tolerance
// tolerance
final double eps = 1.8e-15;
// Check data
for (int k = 0; k < pvs.length; k++) {
final PV pv = pvs[k];
// Propagator numbers
assertEquals(propNumRef[k], pv.getPropagatorsIndices().get(0), eps);
// Weights
for (int i = 0; i < 6; i++) {
assertEquals(baseWeight, pv.getBaseWeight()[i], eps);
}
// Sigmas
for (int i = 0; i < 6; i++) {
assertEquals(sigmaPV[i], pv.getTheoreticalStandardDeviation()[i], eps);
}
// Covariances
final double[][] P = pv.getCovarianceMatrix();
// Substract with ref and get the norm
final double normP = MatrixUtils.createRealMatrix(P).subtract(MatrixUtils.createRealMatrix(Pref)).getNorm();
assertEquals(0., normP, eps);
// Correlation coef
final double[][] corrCoef = pv.getCorrelationCoefficientsMatrix();
// Substract with ref and get the norm
final double normCorrCoef = MatrixUtils.createRealMatrix(corrCoef).subtract(MatrixUtils.createRealMatrix(corrCoefRef)).getNorm();
assertEquals(0., normCorrCoef, eps);
}
}
use of org.orekit.estimation.Context in project Orekit by CS-SI.
the class PVTest method testExceptions.
/**
* Test exceptions raised if the covariance matrix does not have the proper size.
*/
@Test
public void testExceptions() throws OrekitException {
// Context
Context context = EstimationTestUtils.eccentricContext("regular-data:potential:tides");
// Dummy P, V, T
final Vector3D position = context.initialOrbit.getPVCoordinates().getPosition();
final Vector3D velocity = context.initialOrbit.getPVCoordinates().getVelocity();
final AbsoluteDate date = context.initialOrbit.getDate();
final double weight = 1.;
// Build with two 3-sized vectors
try {
new PV(date, position, velocity, new double[] { 0., 0., 0. }, new double[] { 1. }, weight);
Assert.fail("An OrekitException should have been thrown");
} catch (OrekitException e) {
// An exception should indeed be raised here
}
// Build with one 6-sized vector
try {
new PV(date, position, velocity, new double[] { 0., 0., 0. }, weight);
Assert.fail("An OrekitException should have been thrown");
} catch (OrekitException e) {
// An exception should indeed be raised here
}
// Build with two 3x3 matrices
try {
new PV(date, position, velocity, new double[][] { { 0., 0. }, { 0., 0. } }, new double[][] { { 0., 0. }, { 0., 0. } }, weight);
Assert.fail("An OrekitException should have been thrown");
} catch (OrekitException e) {
// An exception should indeed be raised here
}
// Build with one 6x6 matrix
try {
new PV(date, position, velocity, new double[][] { { 0., 0. }, { 0., 0. } }, weight);
Assert.fail("An OrekitException should have been thrown");
} catch (OrekitException e) {
// An exception should indeed be raised here
}
}
use of org.orekit.estimation.Context in project Orekit by CS-SI.
the class RangeAnalyticTest method genericTestStateDerivatives.
/**
* Generic test function for derivatives with respect to state
* @param isModifier Use of atmospheric modifiers
* @param isFiniteDifferences Finite differences reference calculation if true, Range class otherwise
* @param printResults Print the results ?
* @throws OrekitException
*/
void genericTestStateDerivatives(final boolean isModifier, final boolean isFiniteDifferences, final boolean printResults, final double refErrorsPMedian, final double refErrorsPMean, final double refErrorsPMax, final double refErrorsVMedian, final double refErrorsVMean, final double refErrorsVMax) throws OrekitException {
Context context = EstimationTestUtils.eccentricContext("regular-data:potential:tides");
final NumericalPropagatorBuilder propagatorBuilder = context.createBuilder(OrbitType.KEPLERIAN, PositionAngle.TRUE, true, 1.0e-6, 60.0, 0.001);
// Create perfect range measurements
final Propagator propagator = EstimationTestUtils.createPropagator(context.initialOrbit, propagatorBuilder);
final List<ObservedMeasurement<?>> measurements = EstimationTestUtils.createMeasurements(propagator, new RangeMeasurementCreator(context), 1.0, 3.0, 300.0);
// Lists for results' storage - Used only for derivatives with respect to state
// "final" value to be seen by "handleStep" function of the propagator
final List<Double> errorsP = new ArrayList<Double>();
final List<Double> errorsV = new ArrayList<Double>();
// Set master mode
// Use a lambda function to implement "handleStep" function
propagator.setMasterMode((OrekitStepInterpolator interpolator, boolean isLast) -> {
for (final ObservedMeasurement<?> measurement : measurements) {
// Play test if the measurement date is between interpolator previous and current date
if ((measurement.getDate().durationFrom(interpolator.getPreviousState().getDate()) > 0.) && (measurement.getDate().durationFrom(interpolator.getCurrentState().getDate()) <= 0.)) {
// Add modifiers if test implies it
final RangeTroposphericDelayModifier modifier = new RangeTroposphericDelayModifier(SaastamoinenModel.getStandardModel());
if (isModifier) {
((Range) measurement).addModifier(modifier);
}
// We intentionally propagate to a date which is close to the
// real spacecraft state but is *not* the accurate date, by
// compensating only part of the downlink delay. This is done
// in order to validate the partial derivatives with respect
// to velocity. If we had chosen the proper state date, the
// range would have depended only on the current position but
// not on the current velocity.
final double meanDelay = measurement.getObservedValue()[0] / Constants.SPEED_OF_LIGHT;
final AbsoluteDate date = measurement.getDate().shiftedBy(-0.75 * meanDelay);
final SpacecraftState state = interpolator.getInterpolatedState(date);
final EstimatedMeasurement<Range> range = new RangeAnalytic((Range) measurement).theoreticalEvaluationAnalytic(0, 0, state);
if (isModifier) {
modifier.modify(range);
}
final double[][] jacobian = range.getStateDerivatives(0);
// Jacobian reference value
final double[][] jacobianRef;
if (isFiniteDifferences) {
// Compute a reference value using finite differences
jacobianRef = Differentiation.differentiate(new StateFunction() {
public double[] value(final SpacecraftState state) throws OrekitException {
return measurement.estimate(0, 0, new SpacecraftState[] { state }).getEstimatedValue();
}
}, measurement.getDimension(), propagator.getAttitudeProvider(), OrbitType.CARTESIAN, PositionAngle.TRUE, 2.0, 3).value(state);
} else {
// Compute a reference value using Range class function
jacobianRef = ((Range) measurement).theoreticalEvaluation(0, 0, new SpacecraftState[] { state }).getStateDerivatives(0);
}
// //Test: Test point by point with the debugger
// if (!isFiniteDifferences && !isModifier) {
// final EstimatedMeasurement<Range> test =
// new RangeAnalytic((Range)measurement).theoreticalEvaluationValidation(0, 0, state);
// }
// //Test
Assert.assertEquals(jacobianRef.length, jacobian.length);
Assert.assertEquals(jacobianRef[0].length, jacobian[0].length);
// Errors & relative errors on the jacobian
double[][] dJacobian = new double[jacobian.length][jacobian[0].length];
double[][] dJacobianRelative = new double[jacobian.length][jacobian[0].length];
for (int i = 0; i < jacobian.length; ++i) {
for (int j = 0; j < jacobian[i].length; ++j) {
dJacobian[i][j] = jacobian[i][j] - jacobianRef[i][j];
dJacobianRelative[i][j] = FastMath.abs(dJacobian[i][j] / jacobianRef[i][j]);
if (j < 3) {
errorsP.add(dJacobianRelative[i][j]);
} else {
errorsV.add(dJacobianRelative[i][j]);
}
}
}
// Print values in console ?
if (printResults) {
String stationName = ((Range) measurement).getStation().getBaseFrame().getName();
System.out.format(Locale.US, "%-15s %-23s %-23s " + "%10.3e %10.3e %10.3e " + "%10.3e %10.3e %10.3e " + "%10.3e %10.3e %10.3e " + "%10.3e %10.3e %10.3e%n", stationName, measurement.getDate(), date, dJacobian[0][0], dJacobian[0][1], dJacobian[0][2], dJacobian[0][3], dJacobian[0][4], dJacobian[0][5], dJacobianRelative[0][0], dJacobianRelative[0][1], dJacobianRelative[0][2], dJacobianRelative[0][3], dJacobianRelative[0][4], dJacobianRelative[0][5]);
}
}
// End if measurement date between previous and current interpolator step
}
// End for loop on the measurements
});
// Print results on console ?
if (printResults) {
System.out.format(Locale.US, "%-15s %-23s %-23s " + "%10s %10s %10s " + "%10s %10s %10s " + "%10s %10s %10s " + "%10s %10s %10s%n", "Station", "Measurement Date", "State Date", "ΔdPx", "ΔdPy", "ΔdPz", "ΔdVx", "ΔdVy", "ΔdVz", "rel ΔdPx", "rel ΔdPy", "rel ΔdPz", "rel ΔdVx", "rel ΔdVy", "rel ΔdVz");
}
// Rewind the propagator to initial date
propagator.propagate(context.initialOrbit.getDate());
// Sort measurements chronologically
measurements.sort(new ChronologicalComparator());
// Propagate to final measurement's date
propagator.propagate(measurements.get(measurements.size() - 1).getDate());
// Convert lists to double[] and evaluate some statistics
final double[] relErrorsP = errorsP.stream().mapToDouble(Double::doubleValue).toArray();
final double[] relErrorsV = errorsV.stream().mapToDouble(Double::doubleValue).toArray();
final double errorsPMedian = new Median().evaluate(relErrorsP);
final double errorsPMean = new Mean().evaluate(relErrorsP);
final double errorsPMax = new Max().evaluate(relErrorsP);
final double errorsVMedian = new Median().evaluate(relErrorsV);
final double errorsVMean = new Mean().evaluate(relErrorsV);
final double errorsVMax = new Max().evaluate(relErrorsV);
// Print the results on console ?
if (printResults) {
System.out.println();
System.out.format(Locale.US, "Relative errors dR/dP -> Median: %6.3e / Mean: %6.3e / Max: %6.3e%n", errorsPMedian, errorsPMean, errorsPMax);
System.out.format(Locale.US, "Relative errors dR/dV -> Median: %6.3e / Mean: %6.3e / Max: %6.3e%n", errorsVMedian, errorsVMean, errorsVMax);
}
// Reference comparison with Range class
Assert.assertEquals(0.0, errorsPMedian, refErrorsPMedian);
Assert.assertEquals(0.0, errorsPMean, refErrorsPMean);
Assert.assertEquals(0.0, errorsPMax, refErrorsPMax);
Assert.assertEquals(0.0, errorsVMedian, refErrorsVMedian);
Assert.assertEquals(0.0, errorsVMean, refErrorsVMean);
Assert.assertEquals(0.0, errorsVMax, refErrorsVMax);
}
use of org.orekit.estimation.Context in project Orekit by CS-SI.
the class RangeAnalyticTest method genericTestParameterDerivatives.
/**
* Generic test function for derivatives with respect to parameters (station's position in station's topocentric frame)
* @param isModifier Use of atmospheric modifiers
* @param isFiniteDifferences Finite differences reference calculation if true, Range class otherwise
* @param printResults Print the results ?
* @throws OrekitException
*/
void genericTestParameterDerivatives(final boolean isModifier, final boolean isFiniteDifferences, final boolean printResults) throws OrekitException {
Context context = EstimationTestUtils.eccentricContext("regular-data:potential:tides");
final NumericalPropagatorBuilder propagatorBuilder = context.createBuilder(OrbitType.KEPLERIAN, PositionAngle.TRUE, true, 1.0e-6, 60.0, 0.001);
// Create perfect range measurements
for (final GroundStation station : context.stations) {
station.getEastOffsetDriver().setSelected(true);
station.getNorthOffsetDriver().setSelected(true);
station.getZenithOffsetDriver().setSelected(true);
}
final Propagator propagator = EstimationTestUtils.createPropagator(context.initialOrbit, propagatorBuilder);
final List<ObservedMeasurement<?>> measurements = EstimationTestUtils.createMeasurements(propagator, new RangeMeasurementCreator(context), 1.0, 3.0, 300.0);
// List to store the results
final List<Double> relErrorList = new ArrayList<Double>();
// Set master mode
// Use a lambda function to implement "handleStep" function
propagator.setMasterMode((OrekitStepInterpolator interpolator, boolean isLast) -> {
for (final ObservedMeasurement<?> measurement : measurements) {
// Play test if the measurement date is between interpolator previous and current date
if ((measurement.getDate().durationFrom(interpolator.getPreviousState().getDate()) > 0.) && (measurement.getDate().durationFrom(interpolator.getCurrentState().getDate()) <= 0.)) {
// Add modifiers if test implies it
final RangeTroposphericDelayModifier modifier = new RangeTroposphericDelayModifier(SaastamoinenModel.getStandardModel());
if (isModifier) {
((Range) measurement).addModifier(modifier);
}
// Parameter corresponding to station position offset
final GroundStation stationParameter = ((Range) measurement).getStation();
// We intentionally propagate to a date which is close to the
// real spacecraft state but is *not* the accurate date, by
// compensating only part of the downlink delay. This is done
// in order to validate the partial derivatives with respect
// to velocity. If we had chosen the proper state date, the
// range would have depended only on the current position but
// not on the current velocity.
final double meanDelay = measurement.getObservedValue()[0] / Constants.SPEED_OF_LIGHT;
final AbsoluteDate date = measurement.getDate().shiftedBy(-0.75 * meanDelay);
final SpacecraftState state = interpolator.getInterpolatedState(date);
final ParameterDriver[] drivers = new ParameterDriver[] { stationParameter.getEastOffsetDriver(), stationParameter.getNorthOffsetDriver(), stationParameter.getZenithOffsetDriver() };
if (printResults) {
String stationName = ((Range) measurement).getStation().getBaseFrame().getName();
System.out.format(Locale.US, "%-15s %-23s %-23s ", stationName, measurement.getDate(), date);
}
for (int i = 0; i < 3; ++i) {
final double[] gradient = measurement.estimate(0, 0, new SpacecraftState[] { state }).getParameterDerivatives(drivers[i]);
Assert.assertEquals(1, measurement.getDimension());
Assert.assertEquals(1, gradient.length);
// Compute a reference value using analytical formulas
final EstimatedMeasurement<Range> rangeAnalytic = new RangeAnalytic((Range) measurement).theoreticalEvaluationAnalytic(0, 0, state);
if (isModifier) {
modifier.modify(rangeAnalytic);
}
final double ref = rangeAnalytic.getParameterDerivatives(drivers[i])[0];
if (printResults) {
System.out.format(Locale.US, "%10.3e %10.3e ", gradient[0] - ref, FastMath.abs((gradient[0] - ref) / ref));
}
final double relError = FastMath.abs((ref - gradient[0]) / ref);
relErrorList.add(relError);
// Assert.assertEquals(ref, gradient[0], 6.1e-5 * FastMath.abs(ref));
}
if (printResults) {
System.out.format(Locale.US, "%n");
}
}
// End if measurement date between previous and current interpolator step
}
// End for loop on the measurements
});
// Rewind the propagator to initial date
propagator.propagate(context.initialOrbit.getDate());
// Sort measurements chronologically
measurements.sort(new ChronologicalComparator());
// Print results ? Header
if (printResults) {
System.out.format(Locale.US, "%-15s %-23s %-23s " + "%10s %10s %10s " + "%10s %10s %10s%n", "Station", "Measurement Date", "State Date", "ΔdQx", "rel ΔdQx", "ΔdQy", "rel ΔdQy", "ΔdQz", "rel ΔdQz");
}
// Propagate to final measurement's date
propagator.propagate(measurements.get(measurements.size() - 1).getDate());
// Convert error list to double[]
final double[] relErrors = relErrorList.stream().mapToDouble(Double::doubleValue).toArray();
// Compute statistics
final double relErrorsMedian = new Median().evaluate(relErrors);
final double relErrorsMean = new Mean().evaluate(relErrors);
final double relErrorsMax = new Max().evaluate(relErrors);
// Print the results on console ?
if (printResults) {
System.out.println();
System.out.format(Locale.US, "Relative errors dR/dQ -> Median: %6.3e / Mean: %6.3e / Max: %6.3e%n", relErrorsMedian, relErrorsMean, relErrorsMax);
}
// Assert the results / max values depend on the test
double refErrorsMedian, refErrorsMean, refErrorsMax;
// Analytic references
refErrorsMedian = 1.55e-06;
refErrorsMean = 3.64e-06;
refErrorsMax = 6.1e-05;
Assert.assertEquals(0.0, relErrorsMedian, refErrorsMedian);
Assert.assertEquals(0.0, relErrorsMean, refErrorsMean);
Assert.assertEquals(0.0, relErrorsMax, refErrorsMax);
}
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