水下惯性/重力匹配导航是海洋探测开发和军事综合制海中的关键技术，在实际应用中，必须确定载体所在区域的重力场特征是否适合重力匹配定位，由于地球重力场特征具有稀疏性和不确定性，所以满足传统重力匹配方法的匹配区域少、匹配成功率低、系统匹配导航精度低。本项目从重力场特征分析和匹配方法入手，在重力场适配性分析方面，通过构建适合不同区域的基于矢量化特征参数和统计特征参数的重力场综合适配参数，选取重力场适配区域并提取其边界；在此基础上，将载体在适配区内的运动特性反映到重力采样点间的位置相关性上，通过采样点相互连接构成的采样矢量的尺度和相位关系来校正匹配结果，建立矢量化重力匹配方法，提升重力匹配方法的匹配区域数、提高匹配成功率和系统匹配导航精度，并进行可用性评价。通过实际数据对所提出的方法进行试验验证，从而提高惯性/重力匹配导航系统的可靠性，推动我国水下运载体导航定位技术的快速、稳健发展。

Underwater inertial/gravity matching navigation is a key technique in the detection and development of ocean, also in the military application. In the practical environment, because the gravitational field characteristic of ocean is with extremely sparsity and uncertainty, we should analyze whether the gravitational field of underwater vehicle is suitable for gravity anomaly matching, and then increase the success rate of gravity anomaly matching method to guarantee the accuracy of navigation. In this proposal, we start with gravitational field analysis and matching algorithm, to build comprehensive characteristic parameters of different gravitational fields based on vectorized and statistic characteristic parameters, and then select the suitable area for gravity matching and its boundary. According to the motion characteristic, we use the relationship of different gravity sample point to correct the matching results, and the propose the vectorized gravity matching method and its usability evaluation. We testify the proposed mechanism and methods by practical data. By enhancing accuracy and reliability for the entire system, we could promote a rapid and steady progress of navigation and positioning technology of the underwater vehicle for our country.