基于加权混合滤波和重心法的APIT定位算法  

APIT Location Algorithm Based on Weighted Hybrid Filtering and Center of Gravity Method

作　　者：余修武 余昊 刘永 肖人榕 李莹 YU Xiu-wu;YU Hao;LIU Yong;XIAO Ren-rong;LI Ying(School of Resource&Environment and Safety Engineering,University of South China,Hunan Hengyang 421001,China)

机构地区：[1]南华大学资源环境与安全工程学院

出　　处：《北京邮电大学学报》2019年第4期32-37,75,共7页Journal of Beijing University of Posts and Telecommunications

基　　金：国家自然科学基金项目(11875164);湖南省重点研发计划项目(2018SK2055);国家应急管理部安全生产重特大事故防治关键技术科技项目(hunan-0001-2018AQ)

摘　　要：提出了一种基于加权混合滤波与重心法的近似三角形内点测试(APIT)改进定位算法(HFG-APIT).利用混合滤波过滤突变信号强度值使数据平滑稳定输出;再引入加权中位数来提高接收信号强度(RSSI)的精度;最后采用重心法进行内点测试减少误判,提高定位精度.仿真结果表明,混合滤波算法比其他滤波方法处理RSSI数据的测距精度更高,HFG-APIT的定位误差分别为最小二乘定位算法(LSM-RSSI)和APIT定位算法的41. 7%和23. 8%,整体定位性能也优于其他2种算法.An improved approximate point-in-triangulation test(APIT)localization algorithm which based on weighted hybrid filtering and center of gravity method(HFG-APIT)was proposed.Hybrid filtering is used to filter abrupt signal strength values to make the data output smoothly and stably.Weighted median is then used to improve the accuracy of received signal strength indication(RSSI),the center of gravity method is used for interior point testing to reduce misjudgment and improve localization accuracy.Simulation results show that the hybrid filtering algorithm has higher ranging accuracy than other filtering methods in processing RSSI data and the localization errors of HFG-APIT are 41.7%and 23.8%of RSSI localization algorithm based on least squares method(LSM-RSSI)and APIT localization algorithm,the localization performance is also better than the other two algorithms.

关 键 词：近似三角形内点测试法 混合滤波 加权中位数 重心法 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]