基于随机部署RP的位置指纹定位算法

RP random deployment based fingerprint localization algorithm

随着人们对位置信息需求的不断增加,室内定位技术迎来了前所未有的研究热潮.在分析影响基于位置指纹定位算法性能主要因素的基础上,提出了基于随机部署参考点(RP)的位置指纹定位算法.该方法首先将目标环境划分成多个子区域,在每个子区域中采用随机方式部署RP,从而减少定位成本、提高灵活性;为了在保证定位性能的前提下缩短定位时间,给出了两种数据剔除方法.仿真结果表明,该方法能够获得良好的定位性能,具有实际的应用价值.

With the increase of location information,the indoor positioning technique becomes the hot research topic.On the basis of analyzing the effects on the fingerprint localization algorithm,we propose the reference point (RP) random deployment based fingerprint localization scheme.In this approach,the target field is divided into several sub-regions.In each sub-region,RP is deployed randomly to reduce the location cost as well as increasing flexibility.In order to shorten positioning time under the premise of guarantee the performance,this paper presents two data delete schemes.The simulation results show that the proposed algorithm can provide good location performance.Therefore,it has practical values.