CAJ | 학술논문

提出了改进的三维空间模糊指纹定位方法（ITF）。该方法首先采用高斯模型对样本节点和未知节点的RSSI值进行过滤，建立样本点的指纹数据库，并将传统的求解高次坐标问题转换成空间隶属度的问题。利用模糊匹配算法计算未知节点与指纹库中各个已知样本点的贴近度，通过贴近度权系数定位未知节点。实验结果表明该定位方法比传统定位算法在降低误差方面具有更高的性能。
제출료개진적삼유공간모호지문정위방법（ITF）。해방법수선채용고사모형대양본절점화미지절점적RSSI치진행과려，건립양본점적지문수거고，병장전통적구해고차좌표문제전환성공간대속도적문제。이용모호필배산법계산미지절점여지문고중각개이지양본점적첩근도，통과첩근도권계수정위미지절점。실험결과표명해정위방법비전통정위산법재강저오차방면구유경고적성능。
An improved indoor three-dimensional fuzzy position fingerprint localization method named ITF was pro-posed to improve the positioning accuracy.Gaussian model was used for filtering the received signal strength of sample nodes and unknown nodes to establish the fingerprint database for sample nodes.Then the problem of solving high order coordinates was transformed into the problem of space membership degree.The fuzzy neartude weights of unknown nodes and sample nodes were calculated,which could determine the coordinates of unknown points.The experimental-result proved that ITF had higher performance in reducing the error than other traditional algorithms.