On Geostatistical Methods for Radio Environment Maps Generation under Location Uncertainty
On Geostatistical Methods for Radio Environment Maps Generation under Location Uncertainty
复制标题
位置不确定性下无线电环境地图生成的地统计方法
DOI：
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复制
发表时间：
2018
期刊：
影响因子：
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通讯作者：
C. Panazio
中科院分区：
文献类型：
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作者：
Ricardo Augusto;C. Panazio
无线电环境图(REM)可以为无线通信网络的设计和性能优化提供重要信息。然而，与用于建立REM的测量相关的位置不确定性可能会极大地降低此类地图的准确性。针对这一问题，本文提出了一种经典的地质统计学预测工具的改进方法--克立格法，该方法考虑了位置的不确定性，能够在不增加显著复杂性的情况下提高REM的精度。仿真结果还表明，平均路径损耗和协方差参数估计在无线通信系统中的定位误差中起着重要的作用。
Radio environment map (REM) can provide important information for designing and optimizing the performance of wireless communication networks. However, the location uncertainty related to the measurements used to build the REM can considerably deteriorate the accuracy of such map. This paper addresses this problem by proposing a modified approach of a classical geostatistical prediction tool, named Kriging method, which incorporates the location uncertainty and is able to improve the REM accuracy without adding significant complexity. Finally, we also show through simulation results that the average path loss and covariance parameter estimation play an important role and should be considered when the location errors occur in the wireless communication systems.