摘要
针对移动定位终端特点,以及室内定位环境中虚拟无线AP和多天线无线AP的存在,提出一种基于能效的WLAN室内定位系统设计方案。该方案以降低位置指纹数据库规模、减少服务器与客户端的数据传输量以及位置估计阶段的计算量为目的,提出了基于网卡灵敏度的虚拟AP预处理算法、基于非断续接收信号强度的聚类算法以及基于接收信号强度空间区分度的精定位AP选择算法。实验结果表明,该定位系统的数据库规模下降为原系统的40.3%,粗定位和精定位阶段服务器与客户端的数据传送量分别下降了52.1%和13.8%。在提高系统定位精度的同时,达到了降低能耗的目的。
Aiming at the features of mobile positioning terminal equipment,as well as the existence of virtual wireless AP and wireless AP with multi-antennas in indoor positioning environment,the design scheme for a kind of WLAN indoor positioning system based on energy efficiency is proposed.The purpose of the scheme is to reduce the size of the position fingerprint database and the amount of data transmitted between the server and the client,as well as the calculation task in the location estimation phase.This thesis puts forward several new algorithms,including wireless virtual AP pretreatment algorithm based on the NIC sensitivity,the clustering algorithm based on non-intermittent received signal strength indicator and the fine positioning selection algorithm of online wireless APs based on the spatial discrimination of the received signal strength.Experiment results indicate that with the proposed algorithms the database size of the positioning system is reduced to 40.3％ of the original value,and the data transfer volume between the server and client during coarse and fine positioning phases decreases by 52.1％ and 13.8％,respectively.The energy consumption of the system is reduced and the positioning accuracy is improved.
出处
《仪器仪表学报》
EI
CAS
CSCD
北大核心
2014年第5期1169-1178,共10页
Chinese Journal of Scientific Instrument
基金
国家自然科学基金(61272466)
河北省自然科学基金(F2011203067)
河北省高等学校科学技术研究重点项目(ZD20131030)资助
关键词
室内定位系统
位置指纹
仿射传播聚类
空间区分度
网卡灵敏度
indoor positioning system
location fingerprinting
affinity propagation clustering
spatial discrimination
NIC sensitivity
