| 基于感知概率的室内定位算法 |
| |
| 引用本文： | 邹坤,修春娣,杨东凯.基于感知概率的室内定位算法[J].全球定位系统,2013(6):7-11,21. |
| |
| 作者姓名： | 邹坤 修春娣 杨东凯 |
| |
| 作者单位： | [1] 北京航空航天大学中法工程师学院,北京100191 [2] 北京航空航天大学电子信息工程学院,北京100191 |
| |
| 基金项目： | 国家863计划课题（批准号：2013AA12A201）;上海航天科技创新基金（批准号：SAST201241） |
| |
| 摘 要： | 基于WLAN的室内定位技术对高性能算法的需求与日俱增，K近邻算法和最大似然概率算法是基于Wi-Fi位置指纹室内定位技术的两种常用算法。给出感知概率的定义，在感知概率基础上定义了感知欧氏距离和感知似然概率，并提出基于感知欧氏距离的确定型修正算法和基于感知似然概率的概率型修正算法。实验结果表明：基于感知概率的修正算法较原算法在相对复杂的室内环境中有更高的定位精度。
|
| 关 键 词： | 室内定位 感知概率 感知欧氏距离 感知似然概率 |
Novel Algorithms Based on Sensing Probability for Indoor Positioning |
| |
| ZOU Kun,XIU Chundi,YANG Dongkai.Novel Algorithms Based on Sensing Probability for Indoor Positioning[J].Gnss World of China,2013(6):7-11,21. |
| |
| Authors: | ZOU Kun XIU Chundi YANG Dongkai |
| |
| Institution: | 1. Sino-French Engineering School, Beihang University, Beijing 100101, China 2. School of Electrical Engineering, Beihang University, Beij ing 100191, China) |
| |
| Abstract: | With the development of the WLAN based indoor positioning techniques ,the demand for algorithms of the WLAN based indoor positioning techniques with good perform-ance is increasing .The KNN and ML algorithms are two common algorithms for fingerprint-ing indoor positioning .This paper gave at first the definition of Sensing Probability and then defined the Sensing Euclidian Distance and the Sensing Likelihood .Some deterministic and probabilistic algorithms were proposed .The experimental results demonstrate the modified algorithms based on Sensing Probability have a higher degree of accuracy than the original al-gorithms in complex indoor environment . |
| |
| Keywords: | Indoor positioning Sensing Probability Sensing Euclidian Distance Sens-ing Likelihood |
| 本文献已被 维普 等数据库收录！ |
