基于改进高斯滤波的室内无线定位算法  

Indoor Wireless Localization Algorithm Based on Improved Gaussian Filter

作　　者：陈丽[1] 王学东[1] 孙晶晶[2] 李明[2] 

机构地区：[1]邢台职业技术学院,河北邢台054035 [2]燕山大学电气工程学院,河北秦皇岛066004

出　　处：《电气自动化》2014年第3期31-33,53,共4页Electrical Automation

摘　　要：基于信号接收强度指示(RSSI)的定位技术是一项低成本和低复杂度的定位技术,被广泛应用于无线传感网络定位系统中。在基于高斯模型的基础上提出一种基于改进高斯模型的滤波算法。分为σ规则和高斯滤波算法求解置信区间。结合交点质心求解法,得出一种新的距离估计方法。实验表明,对改进高斯滤波模型结合交点质心求解法的性能进行评估,证明WSN能够准确定位并具有较高的定位精度和稳定性。The localization technology based on Received Signal Strength Indication（ RSSI） is a low-cost and low-complexity localization technology widely used in wireless sensor network localization systems. Based on the Gaussian model,this paper presents a filtering algorithm based on improved Gaussian model,which is divided into two domains： the σ rule and the Gaussian filtering algorithm solution. A new distance estimation method is obtained by means of the intersection centroid solution. Experimental results show that,on the basis of the improved Gaussian filtering model and the intersection centroid solution,WSN using the presented algorithm can achieve accurate and stable localization.

关 键 词：室内定位 RSSI 高斯滤波模型 交点质心求解法 TAYLOR级数 

分 类 号：TN014[电子电信—物理电子学]