Performance of the LAMBDA method for fast GPS ambiguity resolution.
This paper provides an overview of the Least-squares AMBiguity Decorrelation Adjustment (LAMBDA) method for the estimation of integer GPS ambiguities. The method's performance is discusse, together with the theoretical concepts on which it is based. The method is based on the integer least-squa...
| Main Authors: | , , |
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| Format: | Journal Article |
| Language: | English |
| Published: |
1997
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| Online Access: | http://hdl.handle.net/20.500.11937/20387 |
| _version_ | 1848750291283869696 |
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| author | Teunissen, Peter de Jong, P.J. Tiberius, C.C.J.M. |
| author_facet | Teunissen, Peter de Jong, P.J. Tiberius, C.C.J.M. |
| author_sort | Teunissen, Peter |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | This paper provides an overview of the Least-squares AMBiguity Decorrelation Adjustment (LAMBDA) method for the estimation of integer GPS ambiguities. The method's performance is discusse, together with the theoretical concepts on which it is based. The method is based on the integer least-squares principle and requires no application-dependent restrictions or assumptions. The actual integer estimation is preceded by a decorrelation step in order to make it more efficient. Especially for short time spans, a large gain in efficiency is obtained. The decorrelation of the ambiguities enables one to refrain from any approximation as far as the shape of the search space is concerned; i.e., the search is performed within the ellipsoidal space induced by the covariance matrix of the float ambiguities. The decorrelated ambiguities also make it possible to scale the search space such that, to a large degree of accuracy, it contains only the k best vectors of integer ambiguities. |
| first_indexed | 2025-11-14T07:34:30Z |
| format | Journal Article |
| id | curtin-20.500.11937-20387 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T07:34:30Z |
| publishDate | 1997 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-203872017-01-30T12:18:57Z Performance of the LAMBDA method for fast GPS ambiguity resolution. Teunissen, Peter de Jong, P.J. Tiberius, C.C.J.M. This paper provides an overview of the Least-squares AMBiguity Decorrelation Adjustment (LAMBDA) method for the estimation of integer GPS ambiguities. The method's performance is discusse, together with the theoretical concepts on which it is based. The method is based on the integer least-squares principle and requires no application-dependent restrictions or assumptions. The actual integer estimation is preceded by a decorrelation step in order to make it more efficient. Especially for short time spans, a large gain in efficiency is obtained. The decorrelation of the ambiguities enables one to refrain from any approximation as far as the shape of the search space is concerned; i.e., the search is performed within the ellipsoidal space induced by the covariance matrix of the float ambiguities. The decorrelated ambiguities also make it possible to scale the search space such that, to a large degree of accuracy, it contains only the k best vectors of integer ambiguities. 1997 Journal Article http://hdl.handle.net/20.500.11937/20387 en restricted |
| spellingShingle | Teunissen, Peter de Jong, P.J. Tiberius, C.C.J.M. Performance of the LAMBDA method for fast GPS ambiguity resolution. |
| title | Performance of the LAMBDA method for fast GPS ambiguity resolution. |
| title_full | Performance of the LAMBDA method for fast GPS ambiguity resolution. |
| title_fullStr | Performance of the LAMBDA method for fast GPS ambiguity resolution. |
| title_full_unstemmed | Performance of the LAMBDA method for fast GPS ambiguity resolution. |
| title_short | Performance of the LAMBDA method for fast GPS ambiguity resolution. |
| title_sort | performance of the lambda method for fast gps ambiguity resolution. |
| url | http://hdl.handle.net/20.500.11937/20387 |