Analysis of Time Scale Algorithm in Satellite Autonomous Navigation Mode

2019 2nd International Conference of Green Buildings and Environmental Management

生态环境科学

Peng, Jian-Hang^1 ; Wang, Xiang-Lei^1 ; Fang, Jian-Min^1 ; Wang, Zhi-Ping^1

Beijing Satellite Navigation Center, Beijing, China^1

关键词: Acquisition strategies;    Algorithm convergence;    Autonomous navigation;    Experimental analysis;    Power calculation;    Slow convergences;    Space satellites;    Traffic requirements;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/310/4/042053/pdf
DOI  :  10.1088/1755-1315/310/4/042053

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

Using satellite clock to establish and maintain constellation reference time datum is the basis of satellite autonomous navigation, reference time Datum algorithm is the core of realization, the paper first elaborated the commonly used time scale algorithm: ALGOS algorithm and Kalman algorithm, ALGOS is the most commonly used reference time Datum algorithm in the world, The Kalman algorithm can assign weights dynamically, but there are some disadvantages of slow convergence speed. Based on the analysis of the computational complexity, traffic requirements and algorithm convergence of the reference time Datum algorithm in the space satellite environment, the experimental results show that it takes 3 minutes for the ALGOS algorithm to complete 1 reference time datum calculation, the communication volume is about 398kb, and the algorithm converges about 6-9 seconds. The Power acquisition strategy is the most core part of the reference time algorithm, the paper finally gives the experimental analysis to the different power acquisition strategy, the results show that, from the stability point of view, the short stability of the 12-hour power calculation is better than the short stability of the calculation of 5 days of right, but its instability is slightly lower than that of 1 days and 5 days.