org.orekit.propagation.analytical.tle
Class LevenbergMarquardtOrbitConverter

java.lang.Object
  org.orekit.propagation.analytical.tle.AbstractTLEFitter
      org.orekit.propagation.analytical.tle.LevenbergMarquardtOrbitConverter

public class LevenbergMarquardtOrbitConverter
extends AbstractTLEFitter

Orbit converter for Two-Lines Elements using differential algorithm.

Since:

6.0

Author:

Rocca

Constructor Summary

LevenbergMarquardtOrbitConverter(int maxIterations, int satelliteNumber, char classification, int launchYear, int launchNumber, String launchPiece, int elementNumber, int revolutionNumberAtEpoch)
Simple constructor.

Method Summary

protected double[]

fit(double[] initial) Find the TLE elements that minimize the mean square error for a sample of states.

Methods inherited from class org.orekit.propagation.analytical.tle.AbstractTLEFitter

getPositionTolerance, getPVFunction, getResiduals, getRMS, getRMS, getTarget, getTLE, getTLE, getWeight, toTLE

Methods inherited from class java.lang.Object

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

Constructor Detail

LevenbergMarquardtOrbitConverter

public LevenbergMarquardtOrbitConverter(int maxIterations,
                                        int satelliteNumber,
                                        char classification,
                                        int launchYear,
                                        int launchNumber,
                                        String launchPiece,
                                        int elementNumber,
                                        int revolutionNumberAtEpoch)

Simple constructor.

Parameters:

maxIterations - maximum number of iterations for fitting

satelliteNumber - satellite number

classification - classification (U for unclassified)

launchYear - launch year (all digits)

launchNumber - launch number

launchPiece - launch piece

elementNumber - element number

revolutionNumberAtEpoch - revolution number at epoch

Method Detail

fit

protected double[] fit(double[] initial)
                throws OrekitException

Find the TLE elements that minimize the mean square error for a sample of states.

Specified by:

fit in class AbstractTLEFitter

Parameters:

initial - initial estimation parameters (position, velocity and B* if estimated)

Returns:

fitted parameters

Throws:

OrekitException - if TLE cannot be computed