现代电子技术2018，Vol.41Issue(4)：11-14,4.DOI:10.16652/j.issn.1004-373x.2018.04.003
基于格拉斯曼投影判别分析的室内定位算法
Indoor location algorithm based on Grassmann projection discriminant analysis
摘要
Abstract
In allusion to the problem that the positioning accuracy of the existing indoor radio fingerprint algorithm is sub-ject to characteristic descriptor noise,the signal subspace analysis is introduced and a novel radio signal characteristic extrac-tion and location algorithm is proposed. The projection homotopic and heterotopic discrete degree functions are constructed by us-ing the projection scale function in Grassmann manifold to expand the difference among projection matrixes of various signal sub-spaces. The Grassmann projection discriminant analysis algorithm(GPDA)is adopted to optimize the projection matrix in signal subspace so that the signal noise can be suppressed by optimal projection characteristic vector and cosine distance discrimina-tion,and the accurate robustness positioning of indoor target can be achieved. To simulate the indoor electromagnetic propaga-tion,three-dimensional ray-tracing electric wave propagation simulator was adopted to simulate indoor wireless data. The simula-tion data shows that the positioning accuracy of GPDA is better than 1 m.关键词
室内定位/格拉斯曼投影判别分析/信号子空间/投影尺度函数/信号噪声/离散度函数Key words
indoor location/Grassmann projection discriminant analysis/signal subspace/projection scale function/sig-nal noise/discrete degree function分类
信息技术与安全科学引用本文复制引用
陈玉祥,陈利民..基于格拉斯曼投影判别分析的室内定位算法[J].现代电子技术,2018,41(4):11-14,4.基金项目
国家自然科学基金(51165033) （51165033）
江西省自然科学基金(20151BAB207052 （）
20151BBE50046)Project Supported by National Natural Science Foundation(51165033),Jiangxi Provincial Natural Science Foundation(20151BAB207052,20151BBE50046) （51165033）
