We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
Improved single-epoch single-frequency Par Lambda algorithm with baseline constraints for the BeiDou Navigation Satellite System.
- Authors
Xin Liu; Guoliang Chen; Qiuzhao Zhang; Shubi Zhang
- Abstract
A new single-epoch single-frequency algorithm based on partial least-squares ambiguity decorrelation adjustment (Par Lambda) that employs baseline constraints is developed for BeiDou Navigation Satellite System (BDS) called Improved Par Lambda, based on the characteristics of building deformation monitoring. The floating solution of double-difference ambiguities is obtained by means of double-difference observations and least-squares method. The double-difference observation equations with baseline length constraint are composed of the equations of BDS single-frequency pseudo-range observations and carrier phase observations and the baseline length constraint equation. The least-squares principle is used to compute floating solution of double-difference ambiguities and the corresponding cofactor matrix. Based on the precision of double-difference ambiguities, the ambiguities will be divided into different levels (2, 1, 1,..., 1) and then be fixed based on the Lambda method progressively. The 1, 5 and 10 s short baseline data of BDS single-epoch single-frequency based on B1 band carrier phase were computed through this method. The results showed that, for BDS single-epoch single-frequency, the success rate and the search efficiency of fixing ambiguities of Improved Par Lambda were all better than the traditional methods and the success rate was more than 98%.
- Subjects
BEIDOU satellite navigation system; LEAST squares; SEARCH algorithms; DATA quality; GLOBAL Positioning System
- Publication
IET Radar, Sonar & Navigation (Wiley-Blackwell), 2017, Vol 11, Issue 10, p1549
- ISSN
1751-8784
- Publication type
Article
- DOI
10.1049/iet-rsn.2017.0048