潜艇巡航目标导航定位仿真研究  

Simulation Research on Navigation Positioning of Cruising Target of Submarines

作　　者：宋召青[1] 王康[2] 

机构地区：[1]海军航空工程学院七系,山东烟台264001 [2]海军航空工程学院研究生管理大队,山东烟台264001

出　　处：《计算机仿真》2016年第7期29-34,共6页Computer Simulation

基　　金：国家自然科学基金重点项目资助(61433011);山东省优秀中青年科学家科研奖励基金项目资助(BS2012DX007);上海市博士后科研资助计划项目资助(12R21414300)

摘　　要：在研究潜艇航行的导航定位问题中,潜艇远程长航时要求导航系统稳定。但是由于惯性导航系统元件陀螺仪会产生漂移误差,造成定位精度不准。为了确保潜艇的航行安全以及可靠性,需要保证潜艇长航时导航定位的精度。提出采用Delta算子高速采样方法,结合潜艇惯性导航系统误差模型,利用Delta算法对惯性导航系统误差方程进行解算,并进行常规卡尔曼滤波处理,实验结果表明,所得的经纬度定位精度较之传统的z域离散化解算方法优越,证明导航改进算法在高速采样情形下能有效提高潜艇长航时的导航定位精度。When researching the problem of navigation positioning of remote long-endurance, the submarines require that the navigation system is stable. However, because of the gyro of inertial navigation system causes drift errors, it leads to the inaccuracy of positioning. In order to ensure submarines sail safely and reliability, it needs to make sure the accuracy of position when submarines work on the state of long-endurance navigation. Combined with the error model of INS in submarines, the high-speed sampling method of Delta operator was proposed to solve the error equations of inertial navigation system and dealing with the common Kalman filter. Experimental results show that the accuracy of positioning of longitude and latitude in Delta domain is better than that in z domain, and it proves that the improved navigation solution method can effectively improve the accuracy of navigation positioning.

关 键 词：长航时 误差模型 卡尔曼滤波 导航解算 

分 类 号：TP2[自动化与计算机技术—检测技术与自动化装置]