Vehicle integrated navigation system based on two dimensional laser Doppler velocimeter

被引:0
|
作者
Chen H. [1 ]
Nie X. [2 ]
Wang M. [2 ]
机构
[1] Institute of Metrology of Hunan Province, Changsha
[2] College of Leading Edge Interdiscipline, National University of Defense Technology, Changsha
来源
| 2018年 / Chinese Society of Astronautics卷 / 47期
关键词
Integrated navigation; Jolt up and down; Strapdown inertial navigation; Two dimensional laser Doppler velocimeter;
D O I
10.3788/IRLA201847.1217008
中图分类号
学科分类号
摘要
In order to reduce the measurement error because of the jolting of the vehicle, a novel two dimensional laser Doppler velocimeter (2-D LDV) was presented. And an idea of building an integrated navigation using 2-D LDV together with strapdown inertial navigation system (SINS) was proposed. The basic principle of 2 -D LDV was expounded and the specific structure of the system using 2 -D LDV together with SINS was discussed in detail. The result of theory and experiment show that the 2-D LDV reduces the measurement error because of the jolting of the vehicle, which has greatly improved the positional accuracy of the navigation system. The position error has been decreased from 936 m with pure SINS to 17.2 m with the 1 -D LDV/SINS integrated system to 7.1 m with the 2 -D LDV/SINS integrated system for the total distance of 29.67 km. 2-D LDV is more suitable for the vehicle integrated navigation system relative to the 1-D LDV. © 2018, Editorial Board of Journal of Infrared and Laser Engineering. All right reserved.
引用
收藏
相关论文
共 14 条
  • [1] Tiano A., Zirilli A., Pizzocchero F., Application of Interval and Fuzzy Techniques to Integrated Navigation systems, Annual Conference of the North American Fuzzy Information Processing Society-NAFIPS, 1, pp. 13-18, (2001)
  • [2] Cork L., Walker R., Sensor fault for UAVs using a nonlinear dynamic model and the IMM-UKF algorithm, Information, Decision and Control, 2, (2007)
  • [3] Jiang Y.F., Yu P., Error estimation of INS ground alignment through observability analysis, IEEE Transactions on Aerospace and Electronic Systems, 28, 1, pp. 92-97, (1992)
  • [4] Liang D., Liu Z., Liu W., Et al., Aerial vehicle astronomy autonomous navigation technology, Infrared and Laser Engineering, 43, 9, pp. 3020-3025, (2014)
  • [5] Gong J., Cheng H., Ma J., Et al., 3D terrain matching algorithm based on terrain contour orthogonal decomposition, Infrared and Laser Engineering, 37, 5, pp. 924-928, (2008)
  • [6] Chu Y., Li M., Huang X., Et al., Autonomous navigation method based on landmark and pulsar measurement, Infrared and Laser Engineering, 44, pp. 143-146, (2015)
  • [7] Yang J., Yuan G., Design and experiment for INS based on MIMU/GPS, Optics and Precision Engineering, 16, 2, pp. 285-294, (2008)
  • [8] Zhang L., Cui N., Lv S., Et al., Design of INS/CNS integrated navigation system for launch vehicle upper stage, Optics and Precision Engineering, 18, 11, pp. 2473-2480, (2010)
  • [9] Ham F.M., Brown R.G., Observability, eigenvalues and Kalman filter ing, IEEE Transaction on Aerospace and Electronic Systems, 19, 2, pp. 269-273, (1983)
  • [10] Zhou J., Preliminary study on laser Doppler velocimeter for vehicle self-contained navigation, (2011)