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A LSTM Algorithm Estimating Pseudo Measurements for Aiding INS during GNSS Signal Outages
Fang, Wei1; Jiang, Jinguang1,2; Lu, Shuangqiu3; Gong, Yilin3; Tao, Yifeng1; Tang, Yanan1; Yan, Peihui1; Luo, Haiyong4; Liu, Jingnan1,2
2020-01-02
发表期刊REMOTE SENSING
卷号12期号:2页码:24
摘要Aiming to improve the navigation accuracy during global navigation satellite system (GNSS) outages, an algorithm based on long short-term memory (LSTM) is proposed for aiding inertial navigation system (INS). The LSTM algorithm is investigated to generate the pseudo GNSS position increment substituting the GNSS signal. Almost all existing INS aiding algorithms, like the multilayer perceptron neural network (MLP), are based on modeling INS errors and INS outputs ignoring the dependence of the past vehicle dynamic information resulting in poor navigation accuracy. Whereas LSTM is a kind of dynamic neural network constructing a relationship among the present and past information. Therefore, the LSTM algorithm is adopted to attain a more stable and reliable navigation solution during a period of GNSS outages. A set of actual vehicle data was used to verify the navigation accuracy of the proposed algorithm. During 180 s GNSS outages, the test results represent that the LSTM algorithm can enhance the navigation accuracy 95% compared with pure INS algorithm, and 50% of the MLP algorithm.
关键词LSTM INS GNSS integrated navigation system GNSS outage pseudo measurement estimating
DOI10.3390/rs12020256
收录类别SCI
语种英语
资助项目National Key Research and Development Program of China[2018YFB0505200] ; National Key Research and Development Program of China[2018YFB0505201] ; Fundamental Research Funds for the Central Universities[2042018kf0253]
WOS研究方向Remote Sensing
WOS类目Remote Sensing
WOS记录号WOS:000515569800055
出版者MDPI
引用统计
被引频次:61[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://119.78.100.204/handle/2XEOYT63/14483
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Jiang, Jinguang
作者单位1.Wuhan Univ, GNSS Res Ctr, Wuhan 430079, Peoples R China
2.Natl Engn Res Ctr Satellite Positioning Syst, Wuhan 430019, Peoples R China
3.Beijing Univ Posts & Telecommun, Sch Software Engn, Beijing 100876, Peoples R China
4.Chinese Acad Sci, Inst Comp Technol, Beijing 100190, Peoples R China
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Fang, Wei,Jiang, Jinguang,Lu, Shuangqiu,et al. A LSTM Algorithm Estimating Pseudo Measurements for Aiding INS during GNSS Signal Outages[J]. REMOTE SENSING,2020,12(2):24.
APA Fang, Wei.,Jiang, Jinguang.,Lu, Shuangqiu.,Gong, Yilin.,Tao, Yifeng.,...&Liu, Jingnan.(2020).A LSTM Algorithm Estimating Pseudo Measurements for Aiding INS during GNSS Signal Outages.REMOTE SENSING,12(2),24.
MLA Fang, Wei,et al."A LSTM Algorithm Estimating Pseudo Measurements for Aiding INS during GNSS Signal Outages".REMOTE SENSING 12.2(2020):24.
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