The Short-Term Forecast of BeiDou Satellite Clock Bias Based on Wavelet Neural Network

被引：12
|
作者：
Ai, Qingsong [1 ]
Xu, Tianhe [2 ,3 ]
Li, Jiajing [1 ]
Xiong, Hongwei [1 ,4 ]
机构：
[1] Changan Univ, Sch Geol Engn & Surveying, 126 Yanta Rd, Xian, Shanxi, Peoples R China
[2] State Key Lab Geoinformat Engn, Xian, Shanxi, Peoples R China
[3] Xian Res Inst Surveying & Mapping, Xian, Shanxi, Peoples R China
[4] China Univ Geosci, Sch Informat Engn, Beijing, Peoples R China
来源：
CHINA SATELLITE NAVIGATION CONFERENCE (CSNC) 2016 PROCEEDINGS, VOL I | 2016年 / 388卷
关键词：
Satellite clock bias; First-order difference of adjacent epoch; Wavelet neural network;
D O I：
10.1007/978-981-10-0934-1_14
中图分类号：
V [航空、航天];
学科分类号：
08 ; 0825 ;
摘要：
According to nonlinear and nonstationary characteristics of BeiDou satellite clock bias time series, this paper proposed a method using the wavelet neural network (WNN) based on the first-order difference of adjacent epoch to predict the satellite clock bias. Experimental data with sampling interval of 15 min rapid and ultra-rapid satellite clock bias provided by Wuhan University is used to test the validation of the method. The results show that the forecast precision of 6 h for BeiDou satellite can reach 1-2 ns, and the 24 h can reach 2-4.6 ns using the proposed method. The test results also show that the accuracy and stability of the model prediction can be improved greatly using the proposed method compared to the traditional gray model and quadratic polynomial model.
引用
收藏
页码：145 / 154
页数：10
相关论文
共 50 条
  • [31] Analysis of Regional Satellite Clock Bias Characteristics Based on BeiDou System
    Liu, Wenxuan
    Wang, Hu
    Ma, Hongyang
    Cheng, Yingyan
    Li, Pengyuan
    Li, Bo
    Ren, Yingying
    REMOTE SENSING, 2022, 14 (23)
  • [32] Short-Term Photovoltaic Power Forecast Based on Long Short-Term Memory Network
    Shi, Min
    Xu, Ke
    Wang, Jue
    Yin, Rui
    Wang, Tieqiang
    Yong, Taiyou
    Hongyuan, Tianjin
    PROCEEDINGS OF 2019 IEEE 3RD INTERNATIONAL ELECTRICAL AND ENERGY CONFERENCE (CIEEC), 2019, : 2110 - 2116
  • [33] Application of a Novel Data Mining Method Based on Wavelet Analysis and Neural Network Satellite Clock Bias Prediction
    Guo, Chengjun
    Teng, Yunlong
    ADVANCES IN NEURAL NETWORKS - ISNN 2011, PT III, 2011, 6677 : 416 - 425
  • [34] Short-term load forecast using maximum overlap discrete wavelet transform and BP neural network based on chaos theory
    Lu, Rui
    Lei, Ting
    PROCEEDINGS OF THE 2019 31ST CHINESE CONTROL AND DECISION CONFERENCE (CCDC 2019), 2019, : 6029 - 6033
  • [35] A Short-Term Forecast Model of foF2 Based on Elman Neural Network
    Fan, Jieqing
    Liu, Chao
    Lv, Yajing
    Han, Jing
    Wang, Jian
    APPLIED SCIENCES-BASEL, 2019, 9 (14):
  • [36] STPF-Net: Short-Term Precipitation Forecast Based on a Recurrent Neural Network
    Wang, Jingnan
    Wang, Xiaodong
    Guan, Jiping
    Zhang, Lifeng
    Zhang, Fuhan
    Chang, Tao
    REMOTE SENSING, 2024, 16 (01)
  • [37] A TS-PSO Based Artificial Neural Network for Short-Term Load Forecast
    Wang, Shuihua
    Ji, Genlin
    Yang, Jiquan
    Zhou, Xingxing
    Zhang, Yudong
    HIGH PERFORMANCE COMPUTING AND APPLICATIONS, HPCA 2015, 2016, 9576 : 31 - 37
  • [38] Short-term GNSS satellite clock stability
    Griggs, E.
    Kursinski, E. R.
    Akos, D.
    RADIO SCIENCE, 2015, 50 (08) : 813 - 826
  • [39] Combining semiparametric and machine learning approaches for short-term prediction of satellite clock bias
    Lihong Jin
    Wanzhuo Zhao
    Xiong Pan
    Qingsong Ai
    Mao Cai
    Xiaoli Ruan
    Scientific Reports, 15 (1)
  • [40] The factor analysis of short-term load forecast based on wavelet transform
    Hua, Z
    Lizi, Z
    POWERCON 2002: INTERNATIONAL CONFERENCE ON POWER SYSTEM TECHNOLOGY, VOLS 1-4, PROCEEDINGS, 2002, : 1073 - 1076
12345