Research on the Fast Calculation Method of Static Baseline Ambiguity Based on Selection Weight Fitting Method
Year: 2024
Type: conference-paper
Abstract: The fast fixation of ambiguity parameters is crucial in GNSS static baseline calculation. Due to the strong correlation between ambiguity and baseline coordinate parameters, the accuracy of floating-point ambiguity is poor, and it is difficult to fix the integer ambiguity. Based on rigorous formula derivation, this paper proposes a fast solution for static baseline ambiguity based on the selection weight fitting method. Obtain the ambiguity floating-point solution through the double difference observation equation, establish a ambiguity search space around the floating-point solution, and use the known baseline component accuracy information as a constraint to search for integer ambiguity solutions. The experimental results show that the method proposed in this article can effectively reduce the search range of ambiguity, thereby improving the accuracy and efficiency of ambiguity resolution. It has high application value for achieving fast calculation of static baseline vectors.
Authors: Zelin Dai, Bing Xue, Yunbin Yuan, Guofang Wang, Yifan Wang, Jianwen Sun
Language: English
Subfield: Aerospace Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4405011727