基于海流数据库的水下导航信息融合方法探讨

如何提高水下导航的精度一直是导航界关注的热点问题，特别是对于缺少高精度导航信息源的水下载运工具，这个问题显得尤为突出和急需解决，针对这种现状，本文对几种常用水下导航信息融合算法进行了比较，创造必地提出了通过建立完善的海流数据库，以此来增加一个精度较高的导航信息源，并提出了一种适用于水下载运工具的导航信息融合算法，通过大量的计算机模拟仿真实验和海试证明，该方法能大大提高水下导航的精度，并具有很强的实用性。

Kalman filter with ocean database application in the underwater navigation

precision of underwater navigation, especially to underwater vehicles that lack of high precise navigation source, The problem is very serious to these vehicles that need to keep under sea level for a long time, and there is a strong need to solve it. To solve this problem, the paper puts forward a new data fusion method of underwater navigation information that overcomes the problem by constituting a perfect ocean database. The new method can greatly improve the precision of underwater navigation. The paper also compares the new method of data fusion with classic kalman filter. Through a lot of simulation experience and sea-experience, it is provesd that the new method is effective and has a good practicability.