OrbitDeterminationKey.java

  1. /* Copyright 2002-2022 CS GROUP
  2.  * Licensed to CS GROUP (CS) under one or more
  3.  * contributor license agreements.  See the NOTICE file distributed with
  4.  * this work for additional information regarding copyright ownership.
  5.  * CS licenses this file to You under the Apache License, Version 2.0
  6.  * (the "License"); you may not use this file except in compliance with
  7.  * the License.  You may obtain a copy of the License at
  8.  *
  9.  *   http://www.apache.org/licenses/LICENSE-2.0
  10.  *
  11.  * Unless required by applicable law or agreed to in writing, software
  12.  * distributed under the License is distributed on an "AS IS" BASIS,
  13.  * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  14.  * See the License for the specific language governing permissions and
  15.  * limitations under the License.
  16.  */
  17. package org.orekit.files.ccsds.ndm.odm.ocm;

  19. import org.orekit.files.ccsds.definitions.OdMethodFacade;
  20. import org.orekit.files.ccsds.utils.ContextBinding;
  21. import org.orekit.files.ccsds.utils.lexical.ParseToken;
  22. import org.orekit.files.ccsds.utils.lexical.TokenType;
  23. import org.orekit.utils.units.Unit;


  26. /** Keys for {@link OrbitDetermination orbit determination data} entries.
  27.  * @author Luc Maisonobe
  28.  * @since 11.0
  29.  */
  30. public enum OrbitDeterminationKey {

  32.     /** Comment entry. */
  33.     COMMENT((token, context, container) ->
  34.             token.getType() == TokenType.ENTRY ? container.addComment(token.getContentAsNormalizedString()) : true),

  36.     /** Identification number. */
  37.     OD_ID((token, context, container) -> token.processAsNormalizedString(container::setId)),

  39.     /** Identification of previous orbit determination. */
  40.     OD_PREV_ID((token, context, container) -> token.processAsNormalizedString(container::setPrevId)),

  42.     /** Orbit determination method. */
  43.     OD_METHOD((token, context, container) -> {
  44.         if (token.getType() == TokenType.ENTRY) {
  45.             container.setMethod(OdMethodFacade.parse(token.getContentAsNormalizedString()));
  46.         }
  47.         return true;
  48.     }),

  50.     /** Time tag for orbit determination solved-for state. */
  51.     OD_EPOCH((token, context, container) -> token.processAsDate(container::setEpoch, context)),

  53.     /** Time elapsed between first accepted observation on epoch. */
  54.     DAYS_SINCE_FIRST_OBS((token, context, container) -> token.processAsDouble(Unit.DAY, context.getParsedUnitsBehavior(),
  55.                                                                               container::setTimeSinceFirstObservation)),

  57.     /** Time elapsed between last accepted observation on epoch. */
  58.     DAYS_SINCE_LAST_OBS((token, context, container) -> token.processAsDouble(Unit.DAY, context.getParsedUnitsBehavior(),
  59.                                                                              container::setTimeSinceLastObservation)),

  61.     /** Sime span of observation recommended for the OD of the object. */
  62.     RECOMMENDED_OD_SPAN((token, context, container) -> token.processAsDouble(Unit.DAY, context.getParsedUnitsBehavior(),
  63.                                                                              container::setRecommendedOdSpan)),

  65.     /** Actual time span used for the OD of the object. */
  66.     ACTUAL_OD_SPAN((token, context, container) -> token.processAsDouble(Unit.DAY, context.getParsedUnitsBehavior(),
  67.                                                                         container::setActualOdSpan)),

  69.     /** Number of observations available within the actual OD span. */
  70.     OBS_AVAILABLE((token, context, container) -> token.processAsInteger(container::setObsAvailable)),

  72.     /** Number of observations accepted within the actual OD span. */
  73.     OBS_USED((token, context, container) -> token.processAsInteger(container::setObsUsed)),

  75.     /** Number of sensors tracks available for the OD within the actual OD span. */
  76.     TRACKS_AVAILABLE((token, context, container) -> token.processAsInteger(container::setTracksAvailable)),

  78.     /** Number of sensors tracks accepted for the OD within the actual OD span. */
  79.     TRACKS_USED((token, context, container) -> token.processAsInteger(container::setTracksUsed)),

  81.     /** Maximum time between observations in the OD of the object. */
  82.     MAXIMUM_OBS_GAP((token, context, container) -> token.processAsDouble(Unit.DAY, context.getParsedUnitsBehavior(),
  83.                                                                          container::setMaximumObsGap)),

  85.     /** Positional error ellipsoid 1σ major eigenvalue at the epoch of OD. */
  86.     OD_EPOCH_EIGMAJ((token, context, container) -> token.processAsDouble(Unit.METRE, context.getParsedUnitsBehavior(),
  87.                                                                          container::setEpochEigenMaj)),

  89.     /** Positional error ellipsoid 1σ intermediate eigenvalue at the epoch of OD. */
  90.     OD_EPOCH_EIGINT((token, context, container) -> token.processAsDouble(Unit.METRE, context.getParsedUnitsBehavior(),
  91.                                                                          container::setEpochEigenInt)),

  93.     /** Positional error ellipsoid 1σ minor eigenvalue at the epoch of OD. */
  94.     OD_EPOCH_EIGMIN((token, context, container) -> token.processAsDouble(Unit.METRE, context.getParsedUnitsBehavior(),
  95.                                                                          container::setEpochEigenMin)),

  97.     /** Maximum predicted major eigenvalue of 1σ positional error ellipsoid over entire time span of the OCM. */
  98.     OD_MAX_PRED_EIGMAJ((token, context, container) -> token.processAsDouble(Unit.METRE, context.getParsedUnitsBehavior(),
  99.                                                                             container::setMaxPredictedEigenMaj)),

  101.     /** Minimum predicted minor eigenvalue of 1σ positional error ellipsoid over entire time span of the OCM. */
  102.     OD_MIN_PRED_EIGMIN((token, context, container) -> token.processAsDouble(Unit.METRE, context.getParsedUnitsBehavior(),
  103.                                                                             container::setMinPredictedEigenMin)),

  105.     /** Confidence metric. */
  106.     OD_CONFIDENCE((token, context, container) -> token.processAsDouble(Unit.PERCENT, context.getParsedUnitsBehavior(),
  107.                                                                        container::setConfidence)),

  109.     /** Generalize Dilution Of Precision. */
  110.     GDOP((token, context, container) -> token.processAsDouble(Unit.ONE, context.getParsedUnitsBehavior(), container::setGdop)),

  112.     /** Number of solved-for states. */
  113.     SOLVE_N((token, context, container) -> token.processAsInteger(container::setSolveN)),

  115.     /** Description of state elements solved-for. */
  116.     SOLVE_STATES((token, context, container) -> token.processAsNormalizedList(container::setSolveStates)),

  118.     /** Number of consider parameters. */
  119.     CONSIDER_N((token, context, container) -> token.processAsInteger(container::setConsiderN)),

  121.     /** Description of consider parameters. */
  122.     CONSIDER_PARAMS((token, context, container) -> token.processAsNormalizedList(container::setConsiderParameters)),

  124.     /** Number of sensors used. */
  125.     SENSORS_N((token, context, container) -> token.processAsInteger(container::setSensorsN)),

  127.     /** Description of sensors used. */
  128.     SENSORS((token, context, container) -> token.processAsNormalizedList(container::setSensors)),

  130.     /** Weighted RMS residual ratio. */
  131.     WEIGHTED_RMS((token, context, container) -> token.processAsDouble(Unit.ONE, context.getParsedUnitsBehavior(),
  132.                                                                       container::setWeightedRms)),

  134.     /** Observation data types used. */
  135.     DATA_TYPES((token, context, container) -> token.processAsNormalizedList(container::setDataTypes));

  137.     /** Processing method. */
  138.     private final TokenProcessor processor;

  140.     /** Simple constructor.
  141.      * @param processor processing method
  142.      */
  143.     OrbitDeterminationKey(final TokenProcessor processor) {
  144.         this.processor = processor;
  145.     }

  147.     /** Process an token.
  148.      * @param token token to process
  149.      * @param context context binding
  150.      * @param container container to fill
  151.      * @return true of token was accepted
  152.      */
  153.     public boolean process(final ParseToken token, final ContextBinding context, final OrbitDetermination container) {
  154.         return processor.process(token, context, container);
  155.     }

  157.     /** Interface for processing one token. */
  158.     interface TokenProcessor {
  159.         /** Process one token.
  160.          * @param token token to process
  161.          * @param context context binding
  162.          * @param container container to fill
  163.          * @return true of token was accepted
  164.          */
  165.         boolean process(ParseToken token, ContextBinding context, OrbitDetermination container);
  166.     }

  168. }
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