基于多传感器的水下航行器航迹融合技术  

Multi-sensor Based Track Fusion Technology of Underwater Vehicle

作　　者：贾均[1] 李俊[1] 徐德民[1] 潘瑛[1] 

机构地区：[1]西北工业大学航海工程学院,西安710072

出　　处：《鱼雷技术》2003年第4期21-23,共3页Torpedo Technology

摘　　要：基于传统卡尔曼滤波算法和最小均方准则,利用全局状态估计反馈,修正了常用的track-to-track航迹融合算法,在此基础上进行了鱼雷导引系统的仿真研究。仿真结果验证了多传感器数据融合技术在提高水下航行器导引精度中的有效性。Based on the traditional Kalman filter algorithm and least mean square criterion, using the estimation of global state to feedback, the paper has modified the traditional track-to-track fusion and simulation researches into the guidance system of torpedo is made on the above basis. The simulation results have validated the efficiency of multi-sensor data fusion in improving guidance accuracy of underwater vehicle.

关 键 词：多传感器 航迹融合 水下航行器 卡尔曼滤波算法 

分 类 号：TJ630[兵器科学与技术—武器系统与运用工程]