CAJ | 학술논문

指纹库定位算法的关键在于根据不同参考节点的接受信号强度指示 RSSI（Receive signal strength indication）建立有效指纹信息数据库。传统的方法是在定位区域内标定多个信息采样点，而大量样本数据的采集会导致算法离线训练阶段工作量增大。Zigbee 传感器网络平台下，综合考虑了目标自身对信号的干扰以及节点数对函数逼近能力的影响，利用信号强度的非线性特性，提出了一种基于多项式分区插值的虚拟指纹库生成方法；同时使用粒子滤波对预估计的结果进行处理，以解决 RSSI 不规则分布问题。实验结果表明该方式可以快速、简捷地生成细粒度的定位信息数据库，提高了定位精度。
지문고정위산법적관건재우근거불동삼고절점적접수신호강도지시 RSSI（Receive signal strength indication）건립유효지문신식수거고。전통적방법시재정위구역내표정다개신식채양점，이대량양본수거적채집회도치산법리선훈련계단공작량증대。Zigbee 전감기망락평태하，종합고필료목표자신대신호적간우이급절점수대함수핍근능력적영향，이용신호강도적비선성특성，제출료일충기우다항식분구삽치적허의지문고생성방법；동시사용입자려파대예고계적결과진행처리，이해결 RSSI 불규칙분포문제。실험결과표명해방식가이쾌속、간첩지생성세립도적정위신식수거고，제고료정위정도。
The key of fingerprint database positioning algorithm is to establish effective fingerprint information database according to RSSI of different reference nodes.Traditional method is to calibrate multiple information sampling points within the positioning area,but the collec-tion of a large number of sample data will lead to the algorithm increasing its workload at off-line training stage.On Zigbee sensor networks platform,considering comprehensively the interference of the target itself on signals and the influence of node number on the function approxi-mation ability,and making use of the nonlinear feature of signal intensity,we propose a polynomial partition interpolation-based virtual finger-print database generation method;meanwhile we employ particle filter to process the pre-estimated results to solve the problem of irregular RS-SI distribution.Experimental result shows that this method can quickly generate in simple way the fine-grained localisation information data-base,and improves the positioning accuracy as well.