车载组合导航在阵地勘测中的应用设计

摘要

为提高阵地勘测的连续性、精确性和快速性,提高定位定向车阵地勘测的环境适应性,在定位定向车阵地勘测中首次利用卡尔曼滤波算法进行数据融合的组合导航,综合捷联惯组、速率计和高程计的自主性以及北斗2卫星导航的精确性和快速性,通过定位定向车多批次的跑车试验验证,该设计实现了较高的阵地勘测连续性以及精确性,基本实现全区域的无缝定位导航阵地勘测.%In order to improve the continuity,accuracy and rapidity of the battlefield reconnaissance,and to increase the battlefield reconnaissance environmental adaptability of position and orientation vehicle (POV),the Kalman filtering algorithm is for the first time used for data fusion in the integrated navigation in the battlefield reconnaissance of the POV with comprehensive characteristics of each device such as BD2 (BeiDou 2),SINS,speedometer and altimeter.The experimental results show that the design effectively improves the environmental adaptability of the battlefield reconnaissance of the POV,and a high position accuracy,continuity and basically seamless navigation positioning in the whole region is achieved.