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A New Indoor Localization Method Based on Inversion Propagation Model

机译:基于反向传播模型的室内定位新方法

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The popularity of WLAN and mobile devices makes the development and widely use of location-aware systems and services possible. Since the Received Signal Strength Indication (RSSI) can be obtained by most mobile devices, the fingerprinting method based on RSSI becomes a simple and efficient method of Indoor Location (IL). This method needs to use the empirical measurements, propagation modeling or their combination to build the fingerprinting map in the offline phase, and the map plays an important role in the location process. The inversion propagation model can predict the propagation loss between any two points along the virtual propagation path from the base-station to the mobile-station, which precision has been presented in [1], [2]. In this paper, the algorithm of Inversion Propagation Model is used to build the fingerprinting map in order to find a new method that can keep a high degree of accuracy as well as simplify the process and improve the efficiency of map building. ting map in order to find a new method that can keep a high degree of accuracy as well as simplify the process and improve the efficiency of map building.
机译:WLAN和移动设备的普及使得位置感知系统和服务的开发和广泛使用成为可能。由于大多数移动设备都可以获取接收信号强度指示(RSSI),因此基于RSSI的指纹识别方法成为一种简单有效的室内位置(IL)方法。该方法需要使用经验测量,传播建模或其组合来在脱机阶段构建指纹图谱,并且该图谱在定位过程中起着重要作用。反向传播模型可以预测从基站到移动站的虚拟传播路径上任意两点之间的传播损耗,其精度已在[1],[2]中提出。本文采用反向传播模型算法构建指纹图谱,以寻找一种能够保持较高准确度,简化流程,提高图谱构建效率的新方法。为了找到一种新方法,该方法可以保持较高的准确性,并且可以简化过程并提高地图构建的效率。

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