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基于概率法的移动机器人无线网络定位系统

The Wireless Network Positioning System for Mobile Robot Based on Probability

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【作者】 任福君; 倪鹏; 王殿君; 姜永成; 段云涛;

【Author】 REN Fujun1,2,NI Peng1,WANG Dianjun3,JIANG Yongcheng4,DUAN Yuntao5 1. Mechanical & Power Engineering College,Harbin University of Science and Technology,Harbin 150080,China 2. China Research Institute for Science Popularization,Beijing 100081,China 3. Mechanical Engineering Academies,Beijing Institute of Petro-Chemical Technology,Beijing 102617,China 4. School of Mechanical Engineering and Automation,Beijing University of Aeronautics and Astronautics,Beijing 100191,China 5. Department of Information & Electronics,Zhejiang Sci-Tech University,Hangzhou 310008,China

【机构】 哈尔滨理工大学机械动力工程学院; 中国科普研究所; 北京石油化工学院机械工程学院; 北京航空航天大学机械工程及自动化学院; 浙江理工大学信息电子学院;

【摘要】 作为一种全新的室内定位技术,将无线路由器的无线信号强度(Receive Signal Strength Indicator,RSSI)值应用在室内移动机器人定位领域。为实现室内移动机器人的定位,提出利用无线信号强度值定位的概率法,根据无线信号强度值在室内环境中的分布特点,分析概率法定位原理,开发一种基于VC++6.0平台室内移动机器人定位系统,该定位系统包括硬件平台和软件平台,并进行移动机器人定位实验,得到较好的定位实验结果。同时,分析机器人定位精度,确定影响定位精度的因素主要包括障碍物、人体、温度和湿度等。定位实验结果表明,在结构化环境下机器人定位的最大偏差为1.2758m,最小定位偏差为0.3007m,可以较好地满足室内移动机器人的定位要求。

【Abstract】 As a new indoor positioning technology,the RSSI (Receive Signal Strength Indicator) value acquired from wireless router is widely used in the field of indoor mobile robot localization. In order to achieve the indoor mobile robot positioning,the probability positioning method is proposed based on the RSSI value. The characteristics of the RSSI distribution in the indoor environment are discussed,together with the principle of probability positioning. The positioning system of the indoor mobile robot based on VC++ 6.0 platform was developed. It includes two parts,the hardware platform and the software platform. The mobile robot localization experiment was carried out in the indoor environment. It is shown that the positioning accuracy is affected by some factors,the obstacles,the human body,temperature and humidity,etc. The maximum deviation is 1.2758m and the minimum is 0.3007m. The positioning requirements for the indoor mobile robot localization can be met.

【基金】 国家高技术研究发展计划(863计划)项目(2007AA04Z255);北京市教委科技发展计划资助项目(KM200710017005);北京市属高等学校人才强教深化计划资助项目(PHR201008355)
  • 【文献出处】 科技导报 ,Science & Technology Review , 编辑部邮箱 ,2010年10期
  • 【分类号】TP242
  • 【被引频次】7
  • 【下载频次】246
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