A practical method for combining multivariate data in radio environment mapping
A practical method for combining multivariate data in radio environment mapping
复制标题
无线电环境测绘中组合多元数据的实用方法
DOI：
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发表时间：
2013
期刊：
影响因子：
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通讯作者：
R. Wichman
中科院分区：
文献类型：
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作者：
J. Ojaniemi;Juha Kalliovaara;J. Poikonen;R. Wichman
在认知无线电系统中，了解主要网络的主要无线电环境（例如数字地面电视）非常重要，因为它控制着辅助系统设备的发射限制。主要网络的场强估计通常使用基于地形的无线电传播模型来计算，或者通过使用单变量插值技术来近似来自测量样本的场强。然而，有限的地理信息或少量的测量样本限制了场强估计的准确性。在本文中，我们提出了一种将现场测量纳入无线电传播模型的多元插值方法。与之前提出的方法相比，所提出的方法显示出估计精度的显着提高。该模型使用来自运营数字地面电视网络的现场测量数据进行验证。
In a cognitive radio system, awareness of the prevailing radio environment of the primary network, such as digital terrestrial television, is important since it governs the emission limits for the secondary system devices. Field strength estimates of the primary network are typically computed using terrain based radio propagation models, or by using univariate interpolation techniques to approximate the field strength from measurement samples. However, the limited geographical information or small numbers of measurement samples sets a restriction on the accuracy of the field strength estimates. In this paper, we propose a multivariate interpolation method for incorporating field measurements into radio propagation models. The proposed method shows considerable increase in estimation accuracy compared to previously presented methods. The model is verified using field measurement data from an operational digital terrestrial television network.