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定位精度对载体至关重要。提高定位精度有2种方式:一是增加高精度导航设备;二是利用数据处理方法。水下载体缺乏高精度的导航设备,但其又需要在水下保持长时间的精确航行。通过建立高精度的海流数据库,然后利用数据融合算法对水下导航信息进行处理来获得高精度的位置信息,该数据融合算法实质是基于海流数据库的Kalman滤波。通过大量的仿真实验和海试证明,该算法具有很强的实用性和有效性。
Positioning accuracy is crucial to the carrier. There are two ways to improve positioning accuracy: First, increase the precision navigation equipment; the second is to use data processing methods. Underwater vehicles lack high-precision navigation equipment, but they also need to maintain accurate underwater navigation for a long time. By establishing a high-precision ocean current database and then using the data fusion algorithm to process the underwater navigation information to obtain high-precision position information, the data fusion algorithm is essentially based on the Kalman filtering of the ocean current database. Through a large number of simulation experiments and sea trials to prove that the algorithm has strong practicality and effectiveness.