基于自适应对数距离衰减模型的移动机器人精确定位方法  

Precise Positioning Method of Mobile Robot Based on the Self-adaptive Atteneation Model

作　　者：李鸿征[1] 

机构地区：[1]焦作大学机电工程学院,河南焦作454003

出　　处：《焦作大学学报》2017年第3期82-84,95,共4页Journal of Jiaozuo University

摘　　要：文章针对目前利用ZIGBEE技术开发煤矿井下机器人的定位误差较大的现状,提出了一种自适应对数距离衰减模型进行精确定位的新方法。实验结果表明,使用自适应对数距离衰减模型新方法进行定位,其平均测量误差较旧方法缩小了2.5倍。In view of the present situation of bigger positioning errors with ZIGBEE technology to develop robot under the coal mine, a new method of adaptive logarithmic distance attenuation model for precise positioning is put forward. The experimental results show that the new method using adaptive logarithmic distance attenuation model for positioning, its average measurement error has been reduced 2. 5 times than the old methods.

关 键 词：受限空间 RSSI 自适应对数距离衰减模型 高斯滤波 

分 类 号：TP242[自动化与计算机技术—检测技术与自动化装置]