%A ZENG Bi, MAO Qin %T Improved indoor 3-D fuzzy position fingerprint localization algorithm %0 Journal Article %D 2015 %J Journal of Shandong University(Engineering Science) %R 10.6040/j.issn.1672-3961.3.2014.109 %P 22-27 %V 45 %N 3 %U {http://gxbwk.njournal.sdu.edu.cn/CN/abstract/article_1125.shtml} %8 2015-06-20 %X An improved indoor three-dimensional fuzzy position fingerprint localization method named ITF was proposed 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 experimentalresult proved that ITF had higher performance in reducing the error than other traditional algorithms.