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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 filtering algorithm and the least mean square criterion, the global track-to-track track fusion algorithm is modified by using global state estimation feedback. Based on this, the torpedo guidance system is simulated. Simulation results verify the effectiveness of multisensor data fusion technology in improving navigation accuracy of underwater vehicles.