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Journal of Projectiles, Rockets, Missiles and Guidance >

2019 , Vol. 39 >Issue 2: 55 - 59

DOI: https://doi.org/10.15892/j.cnki.djzdxb.2019.02.014

Research on Error Compensation for INS/GPS Integrated Navigation Systems Based on Neural Networks

  • BAO Yonglin ,
  • LI Hao ,
  • YUAN Ming ,
  • DONG Yan
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  • Institute of Systems Engineering, China Academy of Engineering Physics, Sichuan Mianyang 621999, China

Received date: 2017-10-23

  Online published: 2025-05-20

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Abstract

To compensate navigation error accumulations of INS (inertial navigation system) when GPS (global positioning system) receiver loses signal in INS/GPS integrated navigation system, a RBFNN (Radical Base Function Neural Network) was applied to aid integrated navigation algorithm. This method trained the RBFNN when GPS was valid, and ran the network to estimate and then correct navigation errors when GPS failed. This algorithm was tested by a set of experimental data from a flight test, and simulation results showed that it was somewhat liable and valid to prevent inertial navigation from diverging. Over all, this RBFNN-aided navigation algorithm is a relatively effective way to compensate navigation errors of INS/GPS integrated navigation systems offline when GPS fails.

Key words： integrated navigation; neural network; Kalman filter; navigation error compensation

Cite this article

BAO Yonglin , LI Hao , YUAN Ming , DONG Yan . Research on Error Compensation for INS/GPS Integrated Navigation Systems Based on Neural Networks[J]. Journal of Projectiles, Rockets, Missiles and Guidance, 2019 , 39(2) : 55 -59 . DOI: 10.15892/j.cnki.djzdxb.2019.02.014

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References

[1]
SEMENIUK L, NOURELDIN A. Bridging GPS outages usingneural network estimates of INS position and velocity errors[J]. Measurement Science and Technology, 2006. 17 (10): 2783- 2798.
[2]
耿世松, 裴福俊, 崔平远. 基于神经网络辅助观测的连续组合导航算法研究[J]. 高技术通讯, 2009. 19 (1): 71– 75.
[3]
林雪原, 鞠建波. 利用神经网络预测的GPS/SINS 组合导航系统算法研究[J]. 武汉大学学报(信息科学版), 2011. 36 (5): 601- 604.
[4]
刘庆元, 郝立良, 黄书捷,等. 神经网络辅助的GPS/MEMS-INS 组合导航算法[J]. 测绘科学技术学报, 2014. 31 (4): 336- 341.
[5]
陈鑫鑫, 张复春, 郝雁中. 神经网络辅助的GPS/INS组合导航滤波算法研究[J]. 测控技术与仪器仪表, 2015. 41 (5): 84- 87.
[6]
GROVES P D. Princiles of GNSS, inertial and multisensorintegrated navigation systems [M]. 2nd ed. Bostn: ArtechHouse, 2013: 336- 339.
[7]
王新龙, 张洪钺, 汪叔华. 惯性导航基础[M].2版. 西安: 西北工业大学出版社, 2013: 261- 262.
[8]
秦永元, 张洪铖, 汪叔华. 卡尔曼滤波与组合导航原理[M].2版. 西安: 西北工业大学出版社, 2012: 357.
[9]
SHARAF R, NOURELDIN A, OSMAN A, et al. Online INS/GPS integration with a radial basis function neural network[J]. IEEE Aerospace and Electronic System Magzine, 2005, 20 (3): 8- 14.
[10]
王洪元, 史国栋. 人工神经网络技术及其应用[M]. 北京: 中国石化出版社, 2002: 41.
[11]
秦永元. 惯性导航[M]. 北京: 科学出版社, 2006: 213, 331.
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