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A shadowing-aware Density_Map for location estimation using COB in non-uniformly populated cellular systems

机译:用于在非均匀填充蜂窝系统中使用COB进行位置估计的可感知阴影的Density_Map

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The presence of non-line-of-sight (NLOS) propagation poses significant problems in positioning a mobile terminal within cellular communication systems. Count-of-Beacon (COB) is a new radiolocation technique where the existence of NLOS propagation does not degrade the precision of the estimated position. However, non-uniformity of subscribers' distribution negatively affects the performance of the COB technique. The Density_Map of each cell can be used to lighten the impact of nonuniform distribution of subscribers. However, the accuracy of the Density_Map is highly reliant on the propagation conditions of the wireless environment. This paper analyzes the sensitivity of the Density_Map to the deviation of the attenuation that signals experience in shadow fading environments. This analysis is then used to redefine the Density_Map. Simulation results are used to verify the validity of the new defined map when the environment is suffering from high shadowing.
机译:非视距(NLOS)传播的存在在将移动终端定位在蜂窝通信系统内时提出了重大问题。信标计数(COB)是一种新的无线电定位技术,其中NLOS传播的存在不会降低估计位置的精度。但是,用户分布的不均匀性会对COB技术的性能产生负面影响。每个小区的Density_Map可用于减轻用户不均匀分布的影响。但是,Density_Map的准确性高度依赖于无线环境的传播条件。本文分析了密度贴图对阴影衰落环境中信号所经历的衰减偏差的敏感性。然后,该分析用于重新定义Density_Map。当环境遭受高阴影时,仿真结果用于验证新定义的地图的有效性。

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