大地测量与地球动力学2024，Vol.44Issue(9)：926-931,6.DOI:10.14075/j.jgg.2023.12.571
基于SSA-ANFIS模型的BDS-3卫星钟差短期预报
Short-Term Prediction of BDS-3 Satellite Clock Bias Based on SSA-ANFIS Model
摘要
Abstract
In view of the non-linearity and non-stationary characteristics of satellite clock bias(SCB)time series,as well as the interference between trend and noise components that may affect the accura-cy of prediction,this paper proposes a SCB prediction model(SSA-ANFIS)based on singular spectrum analysis(SSA)and adaptive neuro-fuzzy inference system(ANFIS).This paper first uses SSA to de-compose and reconstruct the first-order difference sequence of clock bias,obtaining the trend compo-nent and the residual component.Then,it uses the ANFIS model to predict the reconstructed compo-nents,and superimposes and restores the predicted results to obtain the final predicted clock bias val-ue.Finally,through experiments,this paper compares the proposed model with GM,QP,LSTM and ANFIS models.The results show that SSA-ANFIS model can effectively improve the prediction accu-racy of the single model.Compared with the LSTM and ANFIS models,its prediction accuracy in-creased by 25.7％-40.7％and 39.4％-45.7％,respectively.关键词
卫星钟差/奇异谱分析/自适应模糊神经网络模型/钟差预报Key words
satellite clock bias/singular spectrum analysis(SSA)/adaptive neuro-fuzzy inference sys-tem(ANFIS)/clock bias prediction分类
天文与地球科学引用本文复制引用
蔡成林,吴明杰,吕开慧..基于SSA-ANFIS模型的BDS-3卫星钟差短期预报[J].大地测量与地球动力学,2024,44(9):926-931,6.基金项目
国家重点研发计划(2020YFA0713501). National Key Research and Development Program of China,No.2020YFA0713501. （2020YFA0713501）
