摘要
基于RSSI技术的静态权重定位算法由于不需附加设备,成本低,使用方便,适用范围广而得到了广泛的应用.针对RSSI测距容易受到各种干扰,静态权重算法不能同时解决定位的平均误差和最大误差的缺陷,提出一种新的结合RSSI测距数据处理的高斯拟合动态权重定位算法GFDWCL,并在ZigBee平台上实现了该算法.两种算法实验结果表明,该算法能很好改善定位的精度,同时将定位平均误差降低2/3、最大误差下降3/4.
The SWCL（Static Weighted Centroid Localization） based on RSSI is widely used,owing to it′s low cost,convenience and no need of additional equipment.However,as the RSSI ranging is vulnerable to various interference,the SWCL cannot figure out both the average errors and the max errors simultaneously.Thus,a new dynamic weighting centroid algorithm using Gaussian fitting method is proposed,and the algorithm is performed on the ZigBee platform,The experimental results indicated that the accuracy of RSSI positioning can be well improved,and the positioning average error is only one-third,and the maxium error is quarter of SWCL level.
出处
《电子学报》
EI
CAS
CSCD
北大核心
2011年第1期82-88,共7页
Acta Electronica Sinica
基金
国家自然科学基金(No.50807011)
湖南省自然科学基金(No.07JJ6128)
湖南省科技厅资助计划(No.2008FJ3114)
关键词
RSSI
GFDWL
静态权重定位
动态权重定位
高斯拟合
rssi
gauss fit dynamic weighted centroid localization
static weighted centroid localization
dynamic weighted centroid localization
gaussion fit
