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基于超紧耦合GPS/INS的远程火箭弹组合导航方法(英文) 被引量:4

Ultra-tight GPS/INS integration based long-range rocket projectile navigation method
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摘要 精确导航对远程火箭弹的精准打击具有至关重要的作用。为了获得稳定、高效的导航效果,提出了一种基于GPS/INS超紧耦合的组合导航方法。首先,利用INS短时输出精度高的优势,辅助GPS的信号捕获,然后再将GPS的输出信息同INS的输出信息进行联邦滤波融合。同时,在滤波算法上使用了容积滤波算法,并进行了强跟踪改进,且对联邦滤波的因子分配方法进行了基于矢量分配原理的改进。最后进行了组合导航的仿真。结果表明,基于本文方法的导航精度高于普通紧组合方法的导航精度,这为远程火箭弹的精确导航提供了参考。 Accurate navigation is important for long-range rocket projectile's precise striking. To obtain stable and high-per- formance navigation result, a ultra-tight global positioning system/inertial navigation system (GPS/INS) integration based nav- igation approach is proposed. The accurate short-time output of INS is used by GPS receiver to assist in acquisition of signal, and output information of INS and GPS is fused based on federated filter. Meanwhile, the improved cubature Kalman filter with strong tracking ability is chosen to serve as the local filter, and then the federated filter is enhanced based on vector sharing theory. Finally, simulation results show that the navigation accuracy with the proposed method is higher than that with traditional methods. It provides reference for long-range rocket projectile navigation.
出处 《Journal of Measurement Science and Instrumentation》 CAS CSCD 2015年第2期153-160,共8页 测试科学与仪器(英文版)
基金 Project Funded by Chongqing Changjiang Electrical Appliances Industries Group Co.,Ltd
关键词 远程火箭弹 卫星定位系统 惯性测量单元 超紧耦合组合 long-range rocket projectile global position system inertial measuring unit ultra-tight integration
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  • 1Levy B C, Castanon D A, Verghese G C, Willsky A S. A scattering framework for decentralized estimation problems. Automatica, 1983, 19(4): 373-384.
  • 2Kerr T. Decentralized filtering and redundancy management for multisensor navigation. IEEE Transactions on Aerospace and Electronic Systems, 1987, 23(1): 83-119.
  • 3Brumback B D, Srinath M D. A fault-tolerant multisensor navigation system design. IEEE Transactions on Aerospace and Electronic Systems, 1987, 23(6): 738-756.
  • 4Carlson N A. Federated filter for fault-tolerant integrated navigation systems. In: Proceedings of IEEE Position Location and Navigation Symposium. Orlando, USA: IEEE, 1988. 110-119.
  • 5Carlson N A. Federated square root filter for decentralized parallel processes. IEEE Transactions on Aerospace and Electronic Systems, 1990, 26(3): 517-525.
  • 6Carlson N A, Berarducci M P. Federated Kalman filter simulation results. Navigation, 1994, 41(3): 297-321.
  • 7Qiu H Z, Zhang H Y. Algorithm of federated filter with different local and master filter states. In: Proceedings of IFAC Symposium on Automatic Control in Aerospace. Bologna Forli, Italy: IFAC, 2001. 223-228.
  • 8Vershinin Y A. A data fusion algorithm for multisensor system. In: Proceedings of the 5th International Conference on Information Fusion. Annapolis, USA: IEEE, 2002. 341-345.
  • 9Kim Y S, Hong K S. Decentralize information filter in federated form. In: Proceedings of SICE 2003 Annual Conference. Fukui, Japan: IEEE, 2003. 2176-2181.
  • 10Ali J, Fang J C. SINS/ANS/GPS integration using federated Kalman filter based on optimized information-sharing coefficients. In: Proceedings of 2005 AIAA Guidance, Navigation and Control Conference. San Francisco, USA: AIAA, 2005. 1-13.

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