由于重力异常具有随机性, 导致序列重力匹配算法精度受到匹配轨迹起始点位置的影响, 因此, 该文提出了 一种动态序列重力匹配算法。该算法通过对构建多起点匹配轨迹序列, 动态选择起始点, 构建匹配轨迹序列, 通过相关极值法提高重力匹配精度。结果表明,动态序列重力匹配算法重力匹配精度高, 实时性好, 能为水下载体长时间航行提供导航信息。

Due to the randomness of gravity anomalies, the accuracy of the sequence gravity matching algorithm is affected by the starting point position of the matching trajectory. To overcome this problem, a dynamic sequence gravity matching algorithm is proposed in this paper. This algorithm improves the gravity matching accuracy through the correlation extreme method by constructing a multi starting point matching trajectory sequence, dynamically selecting the starting points, and constructing a matching trajectory sequence. The algorithm has high gravity matching accuracy and good real-time performance, and can provide navigation information for underwater carriers for long-term navigation.