网络鱼雷组合导航信息融合技术仿真

邹启明; 万亚民; 曹 萌

doi:10.11993/j.issn.1673-1948.2016.06.011

网络鱼雷组合导航信息融合技术仿真

doi: 10.11993/j.issn.1673-1948.2016.06.011

中国船舶重工集团公司第705研究所, 陕西西安, 710077

详细信息

作者简介:
邹启明(1979-), 男, 硕士, 高工, 主要从事水下航行器的数学建模与仿真技术研究.

中图分类号: TJ630.33; TN967.2
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出版历程
- 刊出日期: 2016-12-20

Simulation on Information Fusion Theory of Network-Torpedo Integrated Navigation

The 705 Research Institute, China Shipbuilding Industry Corporation, Xi′an 710077, China

摘要

摘要: 为了满足网络鱼雷导航系统长时间高精度导航定位的需求, 确保导航系统具有高容错性, 提出了一种基于信息融合技术的惯性导航系统(INS)/多普勒测速系统(DVS)/全球定位系统(GPS)联邦滤波器组合导航方案, 建立了INS/DVS、INS/GPS以及INS/DVS/GPS系统方程和量测方程, 通过采用无反馈重置联邦滤波器, 对不同组合导航模式下的多信息融合进行研究, 以满足网络鱼雷导航的精度需求。仿真结果表明,所设计的无反馈重置联邦滤波器效果明显, 大大降低了各个导航参数的误差, 达到网络鱼雷水下远程组合导航的高精度要求, 可为网络鱼雷精度导航定位和安全回收提供参考。
- 网络鱼雷 /
- 信息融合 /
- 组合导航 /
- 联邦滤波器
Abstract: To meet high accuracy requirement of network-torpedo navigation and to ensure high fault tolerance of the navigation system, an inertial navigation system(INS)/Doppler velocity system(DVS)/global position system(GPS) federated Kalman filter scheme is proposed based on information fusion theory. The system equations of INS/DVS, INS/GPS, and INS/DVS/GPS and the measurement equations are established, and the multi information fusion of different integrated navigation patterns is studied by using the non-feedback reset federated Kalman filter to satisfy the accuracy requirement of network-torpedo navigation. Simulation results show that the design of the non-feedback reset federated filter is effective in greatly reducing the error of each navigation parameter and achieving high accuracy of underwater long-range integrated navigation for the network-torpedo.
- network-torpedo /
- information fusion /
- integrated navigation /
- federated Kalman filter

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参考文献(10)

[1]	[1] 员丽琼, 景占荣. SINS/GPS组合导航系统Kalman滤波仿真研究[J]. 自动化仪表, 2011, 32(1): 67-68. Yuan Li-qiong, Jing Zhan-rong. Simulation of Integrated SINS/GPS Navigation System with Kalman Filtering[J]. Process Automation Instrumentation, 2011, 32(1): 67-68.
[2]	潘加亮, 熊智, 赵慧, 等. 发射系下SINS/GPS/CNS多组合导航系统算法及实现[J]. 中国空间科学技术, 2015(2): 9-16.
[3]	梁浩. 非线性高斯滤波方法研究及其CNS/SAR/SINS组合导航中的应用[D]. 哈尔滨: 哈尔滨工程大学, 2015.
[4]	赖际舟, 刘建业, 陈武, 等. 惯性/卫星组合导航开发平台的可视化仿真和实现[J]. 航空电子技术, 2003, 34(1): 9-14. Lai Ji-zhou, Liu Jian-ye, Chen Wu, et al. Visualization Simulation and Implement of Development Platform for INS/GNSS Integrated Navigation[J]. Avionics Technology, 2003, 34(1): 9-14.
[5]	李万里. 惯性/多普勒组合导航回溯算法研究[D]. 长沙: 国防科学技术大学, 2013.
[6]	王健. 组合导航计算机容错技术研究[J]. 现代导航, 2016(1): 24-27. Wang Jian. Research on Fault-Tolerance Technology in Integrated Navigation Computer[J]. Modern Navigation, 2016(1): 24-27.
[7]	史密, 牟京燕, 陈树新. GPS诱骗下GPS/INS组合导航偏差分析[J]. 电光与控制, 2015, 23(2): 16-20. Shi Mi, Mou Jing-yan, Chen Shu-xin. Bias Analysis of GPS/INS Integrated Navigation under GPS Deception[J]. Electronics Optics & Control, 2015, 23(2): 16-20.
[8]	练军想, 吴文启, 李涛. UKF滤波技术在AUV组合导航中的应用研究[J]. 中国惯性技术学报, 2005, 13(1): 30-34. Lian Jun-xiang, Wu Wen-qi, Li Tao. Application of Unscented Kalman Filter in AUV Integrated Navigatio[J]. Journal of Chinese Inertial Technology, 2005, 13(1): 30-34.
[9]	李涛, 吴美平, 江明, 等. 激光陀螺SINS/GPS组合导航车载试验系统[J]. 国防科学技术大学学报, 2015, 25(3): 104-108. Li Tao, Wu Mei-ping, Jiang Ming, et al. A Laser Gyro-SINS/GPS Integrated Navigation System for Field-test[J]. Journal of National University of Defense Technology, 2015, 25(3): 104-108.
[10]	秦永元, 张洪钺, 汪叔华. 卡尔曼滤波与组合导航原理[M]. 西安: 西北工业大学出版社, 2004.