1 /* Copyright 2002-2025 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.estimation.measurements.gnss;
18
19 /** Ambiguity acceptance test based on a ratio of the two best candidates.
20 * @see AmbiguitySolver
21 * @author Luc Maisonobe
22 * @since 10.0
23 */
24 public class SimpleRatioAmbiguityAcceptance implements AmbiguityAcceptance {
25
26 /** Number of candidate solutions. */
27 private static final int NB_CANDIDATES = 2;
28
29 /** Acceptance ratio for {@code candidate[0]/candidate[1]}. */
30 private final double ratio;
31
32 /** Simple constructor.
33 * @param ratio acceptance ratio for {@code candidate[0]/candidate[1]},
34 * typically {@code 1.0/2.0} or {@code 1.0/3.0}
35 */
36 public SimpleRatioAmbiguityAcceptance(final double ratio) {
37 this.ratio = ratio;
38 }
39
40 /** {@inheritDoc} */
41 @Override
42 public int numberOfCandidates() {
43 return NB_CANDIDATES;
44 }
45
46 /** {@inheritDoc}
47 * <p>
48 * If the ratio {@code candidate[0]/candidate[1]} is smaller or
49 * equal to the ratio given at construction, then {@code candidate[0]}
50 * will be accepted
51 * </p>
52 */
53 @Override
54 public IntegerLeastSquareSolution accept(final IntegerLeastSquareSolution[] candidates) {
55 if (candidates[0].getSquaredDistance() / candidates[1].getSquaredDistance() <= ratio) {
56 return candidates[0];
57 } else {
58 return null;
59 }
60 }
61
62 }