摘要
基于Android开发实现了一款室内定位软件,采用PDR(Pedestrian Dead Reckoning)算法作为室内定位算法,利用智能手机内置加速度传感器、磁场传感器来实现步数、步长和航向的检测。同时,在基本的PDR算法的基础上做了改进,即采用卡尔曼滤波平滑处理步长、粒子滤波优化结果。最后对改进的算法进行实际测试,直线为主的轨迹中采用直线判定后误差为0.64 m;曲线为主的轨迹中采用两种滤波方法优化后误差为1.08 m。
An indoor positioning software is developed and implemented based on Android,using PDR algorithm as indoor positioning algorithm,using smart phone built-in acceleration sensor and magnetic field sensor to realize the detection of step number,step size and heading.At the same time,the improvement is made on the basis of the basic PDR algorithm,that is,the Kalman filter is used to smooth the step size and the particle filter is used to optimize the result.Finally,the improved algorithm is tested,the error is determined by straight line and the value is 0.64 m.In the curve-based trajectory,the error of the two filtering methods is 1.08 m.
作者
刘玲玉
刘狄松
常铁原
Liu Lingyu;Liu Disong;Chang Tieyuan(School of Electronic Information Engineering,Hebei University,Baoding 071000,China)
出处
《信息技术与网络安全》
2020年第7期48-51,共4页
Information Technology and Network Security
