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29 February 2024, Volume 32 Issue 2
Modeling and compensation of navigation error based on self-supervised LSTM network in complex environment
Journal of Chinese Inertial Technology. 2024, 32 (2):  115-124.  DOI: 10.13695/j.cnki.12-1222/o3.2024.02.002
Abstract ( 30 )   PDF (1751KB) ( 33 )  
Aiming at the problems that the inertial navigation system has interactive effects and navigation errors are difficult to identify in complex environment, a navigation error compensation method based on self-supervised long short term memory (LSTM) network intelligent combination model is proposed. The self-supervised temperature change rate module is proposed to overcome the limit of temperature sensor precision and provide temperature change rate in real time, which further improves the ability of the model to identify navigation error. In the experiment section, the effectiveness of the self-supervised module is verified through ablation experiments under various complex environment. Taking the northward velocity of flight test data as an example, the maximum absolute velocity error before compensation is 1.607 m/s, and 0.357 m/s after. Experimental results prove that the velocity and position error under complex physics environment could be effectively reduced, and the pure inertial navigation performance is therefore improved.
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Journal of Chinese Inertial Technology
主 办:中国惯性技术学会
    中船重工第七0七研究所
ISSN 1005-6734
CN 12-1222/O3
电 话:022-26032791
E-mail:zggxjsxb@126.com
地 址:天津市邮政63信箱75分箱
    (300131)
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