Modeling RF Noise in Urban Environments with Spatially Distributed Point Sources

C. Haedrich, D. Breton
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Abstract

In previous work, we have observed significant variability in radio-frequency (RF) noise within neighborhoods of Boston, MA, USA [1]. Furthermore, the sources of this man-made RF noise appear to be point-like in nature [2]. However, there are no descriptions in the literature describing the relationship between the spatial pattern of sources within a neighborhood and the distribution of measured noise powers in the same area. Therefore, we developed a simple model with completely spatially random (CSR) point sources and compared the modeled results with our measurements from Boston. Our results show that, at the frequency studied, a simple CSR model effectively captures the heavy-tailed behavior present in our measurements. A source density of 280 sources per km2, a mean source power of 1 μW and a standard deviation of 7 dB are a reasonable match to the observed distribution in Boston, MA, USA.
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基于空间分布点源的城市环境射频噪声建模
在之前的工作中,我们观察到美国马萨诸塞州波士顿社区内射频(RF)噪声的显著变化[1]。此外,这种人造射频噪声的来源在性质上似乎是点状的[2]。然而,文献中没有描述邻域内声源的空间分布与同一区域内实测噪声功率分布之间的关系。因此,我们开发了一个具有完全空间随机(CSR)点源的简单模型,并将模型结果与我们在波士顿的测量结果进行了比较。我们的结果表明,在研究的频率下,一个简单的CSR模型有效地捕获了我们测量中存在的重尾行为。源密度为每平方公里280个源,平均源功率为1 μW,标准差为7 dB,与美国马萨诸塞州波士顿观测到的分布相匹配。
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