基于WiFi辅助的自适应步长的室内定位算法

Indoor positioning algorithm based on adaptive step size and WiFi assisted

随着室内定位的需求越来越多,基于PDR算法的低成本惯性传感器定位方法备受青睐。在PDR算法的基础上,提出了一种步长可随着步频自适应变化的s-f关系模型。同时针对PDR算法的误差累积问题,利用WiFi信号的接入点位置的绝对坐标对定位误差进行校正,利用连续的两个WiFi信号接入点位置辅助动态调整步长,避免了长时间的计步累积误差对步长的影响。实验验证该方法可有效提高室内定位的精度。

With increasing demand for indoor positioning,a low-cost inertial sensor positioning method based on PDR algorithm is favored.This paper proposed a s-frelationship model on the basis of PDR algorithm.This model means step size may vary adaptively with step frequency changes.Because of PDR algorithm will inevitably produce accumulative error,this paper uses the absolute locations of WiFi signal access point to eliminate the accumulative error,while taking advantage of two adjacent WiFi signal access points to dynamically adjust the step size avoiding the influence of pedometer cumulative error.Experimental results show that this method can effectively improve indoor location accuracy.