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To improve the acuuracy of heading angle measured by electronic compass, a new error compensation method is proposed based on adaptive differential evolution algorithm and BP neural network. In the method, the 3 layer BP neural network is used to model heading angle error, and adaptive differential evolution algorithm is adopted to train the weights of network, thus obtaining a more exact error model, and compensating the heading angle error measured by electronic compass. Compared with other compensation methods such as 8 position least squares, BP neural network, differential evolution algorithm for optimizing BP neural network, and so on, its error compensation accuracy is significantly improved, the method has strong global optimization ability, great convergence rate, good stability, and so on. The experimental results show that after compensation, the error range of heading angle is decreased from -16°~30.7° to -0.22° ~0.2°, which satisfies the needs of higher accuracy navigation systems. 相似文献
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现有民航航图中,仪表用飞行航图不含地面参照物,目视飞行用航图也仅包含基本地形轮廓。因此,主要以目视规则运行的通航飞行器迫切需要一款能够包含禁飞区信息、危险障碍物、城镇居民点等各类地表情报信息的低空目视航图系统。本文介绍一种低空目视航图系统的基础架构及其基本功能。该系统采用MyEclipse作为开发环境,开发语言为JAVA;通过SQL Server数据库管理系统管理"基础地理信息数据库、专题地理信息数据库、文件数据库",形成数据中心;数据中心采集各数据库相关信息为客户端提供数据服务,各数据库定期更新和完善各相关数据;利用OpenLayer开发低空目视航图信息系统的WebGIS客户端,并将各基础数据、专题数据、管理数据图层叠加到用户访问界面。 相似文献