智能系统学报2012，Vol.7Issue(3)：214-219,6.DOI:10.3969/j.issn.1673-4785.201108002
一种无线传感器信号衰减自适应测距模型
An adaptive ranging model based on energy distance loss of wireless sensors
摘要
Abstract
Using wireless sensors as landmarks for mobile robot localization has many advantages, but the process of measuring the distance between the robot and wireless sensor is susceptible to environmental disturbance. To solve this difficult problem, the radio frequency signal decay theory was analyzed, and an adaptive signal decay range model was established for wireless landmarks based on the online learning method. The model learning was completed online, so the effect of the environmental factors on the decay of wireless signal transmission was included in the online modeling process; correspondingly, the adaptive ability of the model was improved. In addition, the identity numbers of different wireless landmarks were also input into the artificial neural network model so that differences a-mong certain sensors were considered. Experiments show that the proposed modeling method is effective for improving wireless sensor ranging precision.关键词
机器人/无线传感器/信号衰减/自适应测距模型Key words
robot/ wireless sensors/ energy distance loss/ adaptive ranging model分类
信息技术与安全科学引用本文复制引用
孙凤池,宋萌,刘光..一种无线传感器信号衰减自适应测距模型[J].智能系统学报,2012,7(3):214-219,6.基金项目
国家自然科学基金资助项目(61175083, 61175085) （61175083, 61175085）
天津市自然科学基金资助项目 (10JCYBJC07600). （10JCYBJC07600）
