Reduction as an improvement of a precise satellite positioning based on an ambiguity function
It is well-known that the solution domain has a discrete character in precise satellite positioning because of the integer nature of ambiguities. Therefore, in addition to the classic least squares estimation, the search procedure has to be employed in the computation process to obtain the so-called...
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| Published in | Journal of applied geodesy Vol. 16; no. 4; pp. 385 - 392 |
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| Main Authors | , , |
| Format | Journal Article |
| Language | English |
| Published |
Berlin
De Gruyter
26.10.2022
Walter de Gruyter GmbH |
| Subjects | |
| Online Access | Get full text |
| ISSN | 1862-9016 1862-9024 |
| DOI | 10.1515/jag-2022-0005 |
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| Abstract | It is well-known that the solution domain has a discrete character in precise satellite positioning because of the integer nature of ambiguities. Therefore, in addition to the classic least squares estimation, the search procedure has to be employed in the computation process to obtain the so-called ‘fixed solution.’ The article’s subject is to improve the search procedure conducted in the coordinate domain. The reduction process is to transform the original math model into an equivalent one in the sense of obtaining the same solution. The reduction aims to increase the efficiency of searching for some parameters, i. e., integer ambiguities. The article presents the concept of employing the reduction procedure to the computation process of precise positioning based on the ambiguity function. The transformation matrix for the reduction is based on the well-known integer decorrelation procedure. Numerical experiment results display a positive impact of the reduction process on the search procedure efficiency. This positive impact is manifested by a dramatic decrease in the number of candidates needed to test all admissible solutions inside the search region. The percentage decrease in that magnitude is at least 50 % for all session lengths and achieves a maximum value of over 75 % for the 10-minute session. Computational time decreases by over 40 % while short sessions are processed. There is no improvement for sessions longer than 15 minutes, but, as explained in the paper, there is no need to improve that magnitude in such cases. |
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| AbstractList | It is well-known that the solution domain has a discrete character in precise satellite positioning because of the integer nature of ambiguities. Therefore, in addition to the classic least squares estimation, the search procedure has to be employed in the computation process to obtain the so-called ‘fixed solution.’ The article’s subject is to improve the search procedure conducted in the coordinate domain. The reduction process is to transform the original math model into an equivalent one in the sense of obtaining the same solution. The reduction aims to increase the efficiency of searching for some parameters, i. e., integer ambiguities. The article presents the concept of employing the reduction procedure to the computation process of precise positioning based on the ambiguity function. The transformation matrix for the reduction is based on the well-known integer decorrelation procedure. Numerical experiment results display a positive impact of the reduction process on the search procedure efficiency. This positive impact is manifested by a dramatic decrease in the number of candidates needed to test all admissible solutions inside the search region. The percentage decrease in that magnitude is at least 50 % for all session lengths and achieves a maximum value of over 75 % for the 10-minute session. Computational time decreases by over 40 % while short sessions are processed. There is no improvement for sessions longer than 15 minutes, but, as explained in the paper, there is no need to improve that magnitude in such cases. |
| Author | Fischer, Artur Nowel, Krzysztof Cellmer, Sławomir |
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| Cites_doi | 10.1007/BF00863419 10.1109/TIT.2006.876356 10.3390/mi13010064 10.1017/S0373463318000784 10.1080/00396265.2021.1885947 10.1109/ACCESS.2020.3005147 10.1007/s00190-009-0364-8 10.1109/TGRS.1981.350379 10.1007/978-3-642-80133-4_45 10.1007/978-3-211-73017-1 10.1007/s10291-010-0192-6 10.1109/BGC.Geomatics.2016.43 10.1109/TAES.2017.2760578 10.1179/1752270613Y.0000000045 10.1007/s00190-005-0004-x 10.1088/0957-0233/21/12/125102 10.1007/s00190-018-1182-7 10.1109/TGRS.2011.2161321 10.1088/0957-0233/18/9/032 10.1007/s10291-017-0694-6 10.1109/BGC.Geomatics.2017.59 10.1109/78.726808 10.1007/s001900100192 10.1007/PL00004003 10.3846/enviro.2017.179 10.1007/s00190-011-0490-y 10.13168/AGG.2015.0016 10.1109/ACCESS.2020.2970083 |
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| Snippet | It is well-known that the solution domain has a discrete character in precise satellite positioning because of the integer nature of ambiguities. Therefore, in... |
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| SubjectTerms | Ambiguity Ambiguity Function Computation Computer applications Computing time Domains GNSS data processing integer least squares Integers Procedures Reduction Satellites Searching Voronoi cells |
| Title | Reduction as an improvement of a precise satellite positioning based on an ambiguity function |
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