【作者】 蒲玉蓉； 席晓莉； 朱虹； 周丽丽；

【Author】 Pu Yu-rong;Xi Xiao-li;Zhu Hong;Zhou Li-li;Xi’an University of Technology;

【机构】 西安理工大学自动化与信息工程学院；

【摘要】 附加二次相位因子(ASF,AdditionalSecondaryFactor)修正精度是影响罗兰C系统定位导航授时(PNT,Positioning, Navigation and Timing)精度的主要因素,开展高精度ASF预测的理论研究以及ASF数据库建库工作,是提高罗兰系统PNT精度的基础和保障。文章采用积分方程方法,结合大地电导率数据库、数字高程数据库、海岸线数据库,建立了ASF理论预测模型,并利用该模型为我国罗兰C系统的宣城台建立了以其为中心辐射半径1000km的ASF理论数据库。通过对局部复杂陆地区域的实际测量,分析了所建ASF理论数据库的精度及误差源。结果显示:该数据库预测的ASF与实测值间的均方根误差为471ns,84个测量点中50%的点的误差在500ns以内。更多还原

【Abstract】 The Additional Secondary Factor( ASF) is a key factor affecting the accuracy of Positioning,Navigation and Timing(PNT)of Loran-C system. Much effort should be made on researching the theory method of determining ASF and establishing ASF database. This paper present an ASF theoretical perdiction model which use the integral equation method with knowledge of the Ground Conductivity Database, World Vector Shoreline Database and Digtal Terrain Elevation Database(DTED). Then the model is employed to establish ASF database which extend 1000 km out from the station of Xuancheng. The accuracy and error source of this ASF database is analyzed by comparing predicted ASF with measurement ASF in a part of experimental region. The results show that the root mean square error(RMSE)is 471ns between them, and 50% are less than 500ns.更多还原