A LSTM Algorithm Estimating Pseudo Measurements for Aiding INS during GNSS Signal Outages

doi:10.3390/rs12020256

CORC > 计算技术研究所 > 中国科学院计算技术研究所 > 中国科学院计算技术研究所期刊论文 > 英文

	A LSTM Algorithm Estimating Pseudo Measurements for Aiding INS during GNSS Signal Outages
	Fang, Wei 1; Jiang, Jinguang 1,2; Lu, Shuangqiu 3; Gong, Yilin 3; Tao, Yifeng 1; Tang, Yanan 1; Yan, Peihui 1; Luo, Haiyong 4; Liu, Jingnan 1,2
刊名	REMOTE SENSING
	2020-01-02
卷号	12 期号:2 页码:24
关键词	LSTM INS GNSS integrated navigation system GNSS outage pseudo measurement estimating
DOI	10.3390/rs12020256
英文摘要	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.
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
语种	英语
出版者	MDPI
WOS记录号	WOS:000515569800055
内容类型	期刊论文
源URL	[http://119.78.100.204/handle/2XEOYT63/14482]
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
推荐引用方式 GB/T 7714	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.