Weighted semidefinite programming scheme for wireless positioning with lognormal shadowing  

作　　者：Tian Kegang Xu Wenbo Wang Siye Chen Xiangsen 

机构地区：[1]School of Artificial Intelligence,Beijing University of Posts and Telecommunications,Beijing 10876,China

出　　处：《The Journal of China Universities of Posts and Telecommunications》2023年第5期93-100,共8页中国邮电高校学报（英文版）

基　　金：supported by the National Natural Science Foundation of China(61871050)。

摘　　要：Received signal strength(RSS)based positioning schemes ignore the actual environmental feature that the volatility of RSS increases as signal propagation distance grows.Therefore,RSS over long distance generally has relatively large measurement error and degrades the positioning performance.To reduce the negative impact of these RSSs over long distances,a weighted semidefinite programming(WSDP)positioning scheme was proposed.The WSDP positioning scheme first assesses the signal propagation quality using the average variance of all RSS sets.Then appropriate weighting factors are set based on the variance of each RSS set,and a weighted semidefinite programming optimizer is formulated to estimate the positions of target nodes.Simulation results show that the WSDP positioning scheme can effectively improve the positioning performance.

关 键 词：LOCALIZATION received signal strength(RSS) semidefinite programming(SDP) lognormal shadowing 

分 类 号：TP212.9[自动化与计算机技术—检测技术与自动化装置] TN929.5[自动化与计算机技术—控制科学与工程]