网络鱼雷组合导航信息融合技术仿真

Simulation on Information Fusion Theory of Network-Torpedo Integrated Navigation

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。

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） fed-erated 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.