舰船导航领域通常采用多传感器组合的方式保证导航精度，但对于水下舰船而言，由于其传感器种类少、精度低，导航精度水平有待提升。本文结合舰船配置特点，提出一种多惯性导航系统信息融合方法，通过设计Kalman滤波器实现多套惯导设备的信息融合，模拟仿真实验和半实物仿真试验结果表明，相较于单套惯导系统而言，所提方法可以将定位精度提升30%，为水下舰船的长航时高精度导航提供了保障。
In the field of shipping navigation, multi-sensors combination are usually adopted to ensure the navigation accuracy. But for underwater ships, the navigation accuracy needs to be improved due to its few types of sensors and low accuracy. In this paper, a multiple information fusion method of inertial navigation system is presented combining with the characteristics of ship configuration and the information fusion of multiple inertial navigation devices is realized through a Kalman filter. The simulation experiment and semi-physical simulation test show that the positioning accuracy of the proposed method is 30% higher than the single inertial navigation system, which provides a great guarantee in high precision navigation for underwater ships.
2019,41(9): 125-127,141 收稿日期：2019-07-11
DOI：10.3404/j.issn.1672-7649.2019.09.024
分类号：TP965.6
作者简介：芈小龙(1977-),男,工程师,主要从事信息系统研究
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