基于地磁导航的室内定位算法研究与实现

发布时间：2018-09-08 08:00

【摘要】：伴随移动网络与智能终端的发展,基于位置服务(LBS)显示了其在商品信息的传递、位置导航、广告精准营销以及室内位置场景等情况下的广阔应用前景,而实现基于位置服务的必要前提和关键技术基础则是对人员或者物体的定位实现。在室外天面条件较好的条件下,卫星导航定位,基站定位等方式已经能够取得较好的应用效果,而在室内,由于受到多径效应、人体吸收、非视距传播等影响,目前大部分的定位方案都无法满足室内LBS对定位精度的要求,而精确的定位方法由于硬件实现成本较高,无法大范围的部署应用。随着微机电系统(MEMS)传感器及智能设备终端的大众化,陀螺仪、重力传感器、地磁传感器已经嵌入到诸多移动设备终端中去,这些传感器能够检测到携带者的运动状态和室内的环境特征,可以用来实现或者辅助定位。本文分析了当前相关定位技术的特点与发展趋势,并针对地磁指纹匹配算法提出了区域划分投票法这一改进方案,并在实际环境中利用智能手机平台进行了相关实验,其结果表明其算法能够达到室内定位的基本要求。在此基础上,本文提出了一种利用Android平台地磁匹配算法实现的室内定位方案,对其系统的架构及组成做了一定的描述,最后重点介绍了与作者提出的方案类似的IndoorAtlas基于地磁场的室内定位技术,对其应用的创建过程及定位效果进行了简要分析,其效果证明了基于地磁场的室内定位方法具有一定的可行性,能够提供较理想的定位结果。
[Abstract]:With the development of mobile network and intelligent terminal, (LBS) based on location service shows its broad application prospects in the case of commodity information transmission, location navigation, accurate advertising marketing and indoor location scene, etc. The essential premise and key technology of location-based service is the localization of people or objects. Under the better conditions of outdoor sky and surface, satellite navigation, base station positioning and other methods have been able to obtain better application results. But indoors, due to the effects of multipath effect, human absorption, non-line-of-sight propagation, etc., At present, most of the localization schemes can not meet the requirements of indoor LBS positioning accuracy, and the accurate positioning method can not be deployed widely because of the high cost of hardware implementation. With the popularity of (MEMS) sensors and smart device terminals in MEMS, gyroscopes, gravity sensors and geomagnetic sensors have been embedded in many mobile device terminals. These sensors can detect the moving state of carriers and indoor environmental characteristics, and can be used to achieve or assist positioning. In this paper, the characteristics and development trend of the current related location technology are analyzed, and an improved method of area partition voting is proposed for the geomagnetic fingerprint matching algorithm, and the relevant experiments are carried out by using the smartphone platform in the actual environment. The results show that the algorithm can meet the basic requirements of indoor positioning. On this basis, this paper proposes an indoor positioning scheme based on geomagnetic matching algorithm based on Android platform, and describes the architecture and composition of the system. In the end, the indoor positioning technology based on geomagnetic field of IndoorAtlas, which is similar to the scheme proposed by the author, is emphatically introduced, and its application process and localization effect are analyzed briefly. The results show that the indoor positioning method based on geomagnetic field is feasible and can provide ideal positioning results.
【学位授予单位】：南京邮电大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TP311.52

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