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Wireless Indoor Positioning: Effective Deployment of Cells and Auto-Calibration

机译:室内无线定位:有效部署单元和自动校准

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摘要

Establishing a precise location for wireless users while they are indoors is currently an important challenge. The triangulation techniques used for external locations are useless due to adverse effects like the lack of line-of-sight or to multipath propagation. Fingerprinting methods, which are based on the comparison of received signal strength (RSS) values measured by the mobile phone with a radiomap of RSS values recorded during the calibration phase, currently offer the best methods for indoor scenarios. However, they are also affected by problems like channel variability. In this paper, we propose two ways to improve the systems based on fingerprinting methods. The first method minimizes negative effects resulting from inadequate deployment of the radio frequency emitters and describes a method to determine the minimum number and the best way to locate them from initial layout and accuracy requirements. The second method increases accuracy thanks to an automatic radiomap recalibration technique that leverages the measurements reported by a small number of static reference points, strategically deployed in an indoors environment.
机译:当前,为无线用户在室内建立精确位置是一项重要的挑战。由于缺乏视线或多径传播等不利影响,用于外部位置的三角测量技术无用。指纹方法基于手机测量的接收信号强度(RSS)值与在校准阶段记录的RSS值的无线电图的比较,目前为室内场景提供了最佳方法。但是,它们还受到信道可变性等问题的影响。在本文中,我们提出了两种方法来改进基于指纹方法的系统。第一种方法最大程度地减少了由于射频发射器部署不充分而造成的负面影响,并描述了一种根据初始布局和精度要求确定最小数量和最佳位置的最佳方法。第二种方法由于采用了自动无线电图重新校准技术而提高了准确性,该技术利用了由少量静态参考点报告的测量结果,这些静态参考点策略性地部署在室内环境中。

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