LOCALI: Calibration-Free Systematic Localization Approach for Indoor Positioning.
LOCALI: Calibration-Free Systematic Localization Approach for Indoor Positioning.
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DOI：
10.3390/s17061213
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发表时间：
2017-05-25
期刊：
影响因子：
--
通讯作者：
Park Y
中科院分区：
文献类型：
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作者：
Ali MU;Hur S;Park Y
室内定位系统的最新进展是基于无基础设施的解决方案，旨在提高复杂室内环境中的定位精度，而无需使用专门的资源。室内定位的一种流行的无基础设施解决方案是基于校准的定位，通常称为指纹识别。指纹识别解决方案需要对环境进行广泛且无误差的调查，以建立无线电地图数据库，这在位置估计中起着关键作用。当环境发生重大变化或准确性降低时，指纹识别还需要随机更新数据库。指纹数据库的校准是一项费时费力的工作，阻碍了这项技术的广泛采用。在本文中，我们提出了一个系统的定位方法，“LOCALI”，室内定位，它不需要一个校准数据库和广泛的更新。LOCALI利用环境的平面图/墙壁地图来通过在复杂的室内环境中对某些轨迹上的路径损耗进行积分来生成无线电地图来估计目标位置，其中，由于由环境元素或变化的天线对准引起的多径传播或吸收引起的衰落效应，使用时间信息或接收信号强度水平的三角测量是高度错误的。实验结果表明，通过使用地图信息和环境参数，在室内定位的精度可以达到显着的水平。此外，与基于校准的技术相比，该过程需要相当少的努力。
Recent advancements in indoor positioning systems are based on infrastructure-free solutions, aimed at improving the location accuracy in complex indoor environments without the use of specialized resources. A popular infrastructure-free solution for indoor positioning is a calibration-based positioning, commonly known as fingerprinting. Fingerprinting solutions require extensive and error-free surveys of environments to build radio-map databases, which play a key role in position estimation. Fingerprinting also requires random updates of the database, when there are significant changes in the environment or a decrease in the accuracy. The calibration of the fingerprinting database is a time-consuming and laborious effort that prevents the extensive adoption of this technique. In this paper, we present a systematic LOCALIzation approach, “LOCALI”, for indoor positioning, which does not require a calibration database and extensive updates. The LOCALI exploits the floor plan/wall map of the environment to estimate the target position by generating radio maps by integrating path-losses over certain trajectories in complex indoor environments, where triangulation using time information or the received signal strength level is highly erroneous due to the fading effects caused by multi-path propagation or absorption by environmental elements or varying antenna alignment. Experimental results demonstrate that by using the map information and environmental parameters, a significant level of accuracy in indoor positioning can be achieved. Moreover, this process requires considerably lesser effort compared to the calibration-based techniques.