一种基于稀疏表示的 WLAN室内定位算法

摘要

随着科技进步和人民生活水平的提高，越来越多的用户对定位技术需求变得日益迫切。基于WLAN的室内定位技术研究在此背景下应运而生，但是该技术容易受非视距离以及多径影响。而位置指纹算法有效地克服了上述缺点，并得到了广泛应用。提出一种基于稀疏表示的WLAN室内定位算法，以解决位置指纹算法K近邻方法中参数选择问题、不能综合利用全局参考点信息问题，并对其进行了实验仿真。%With the technological progress and the improvement of people's living standard, more and more users become increasingly urgent in their demand of positioning technology.WLAN-based indoor positioning technology research emerges in this context, but it is susceptible to non-visual distance and multi-path effects.But the location fingerprint algorithm effectively overcome the above drawbacks, therefore has been widely applied.A WLAN indoor positioning based on sparse representation algorithm is proposed in this paper to solve the problems of location fingerprint algorithm including the parameters selection in k-nearest neighbour method and cannot comprehensively use global reference point information.Experimental simulation on the algorithm is also carried out.