Single Point Positioning Algorithm of Integrated System Based on Improve Least Squares Algorithm
In order to obtain position and clock bias, at least four GPS (Global Positioning System) pseudo-range measurements are needed, which are based on least squares iteration algorithm, the accuracy is dependent on the number of iterations and the deviation between initial value and true value, and GPS satellite is partly blocked indoors and dense urban areas. Therefore, a simple novel method is developed to solve the navigation equations directly without linearization and iteration, which is combining GPS and GLONASS. The results show that novel method is effective for navigation precision, the method reduces the computational complexity significantly and is highly suitable for single point positioning.
KeywordsNavigation equations Single point positioning Least squares Hybrid positioning
This work was supported by Nature Science Foundation of Yunnan Province Education Department under Grant 2013Y017, about “the research of optimized satellite selection algorithm based on maximum determinant in positioning system,” and Nature Science Foundation of Qujing Normal College under Grant 2012QN022 & 2012QN023 about “the research of satellite selection algorithm in global positioning system.”