Improving accuracy for TVWS geolocation databases: Results from measurement-driven estimation approaches
Improving accuracy for TVWS geolocation databases: Results from measurement-driven estimation approaches
复制标题
提高 TVWS 地理定位数据库的准确性：测量驱动估计方法的结果
DOI：
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发表时间：
2014
期刊：
影响因子：
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通讯作者：
P. Mähönen
中科院分区：
文献类型：
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作者：
Andreas Achtzehn;Janne Riihijärvi;P. Mähönen
开放未充分利用的频谱资源用于二次使用的最新进展依赖于地理位置数据库来确定主要用户的保护要求。本文研究了一个主要的电视网络的信号强度估计与对数正态传播模型，线性插值通过Delaunay三角剖分，和普通克里格作为手段，包括测量数据到数据库的预测过程中达到的精度。直接估计方法进行了比较，对混合混合模型的统计传播建模与插值的误差表面。本文所呈现的结果使用来自英国大规模测量活动的测量。他们表明，相对较小的数据集足以实现3.1-5.0dB的平均绝对预测误差，而纯粹基于地形的估计方法则达到5.9-6.9dB。
Recent advances towards opening underutilized spectrum resources for secondary use rely on geolocation databases to determine protection requirements of primary users. This paper studies the achievable accuracy of signal strength estimation for a primary TV network with log-normal propagation models, linear interpolation through Delaunay triangulation, and ordinary kriging as means of including measurement data into a database's prediction process. Direct estimation methods are compared against hybrid mixture models of statistical propagation modelling with interpolation of the error surface. The results presented herein use measurements from a large-scale measurement campaign in the UK. They show that relatively small data sets suffice to achieve mean absolute prediction errors of 3.1-5.0dB compared to 5.9-6.9dB achieved by purely terrain-based estimation approaches.