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首页> 外文期刊>IEEE Transactions on Antennas and Propagation >Primary Contour Prediction Based on Detailed Topographic Data and Its Impact on TV White Space Availability
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Primary Contour Prediction Based on Detailed Topographic Data and Its Impact on TV White Space Availability

机译:基于详细地形数据的主要轮廓预测及其对电视空白空间可用性的影响

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Following the standard approach envisioned by the Federal Communication Commission (FCC), we consider database as a tool to plan the utilization of very high frequency/UHF spectrum by white space (WS) radios. Our approach, however, differs from the FCC one in the sense that the proposed geolocation database is not limited to process terrain information based on antenna height above average terrain (HAAT). Our primary contour prediction (PCP) algorithm processes detailed regional topographic data with the Fresnel diffraction theory while allowing flexibility in conservativeness to accommodate local regulations. This renders more realistic contour predictions in regions of rough terrain. Moreover, due to the current broadcast antenna height limitation of 200 m in existing propagation models, we revisit the work of Okumura et al. and derive a new model applicable to a broader antenna height range. Specifically, we utilize th order polynomials to fit Okumura curves in the least-square sense and obtain remarkable accuracy with low orders, i.e., . As a result, contours of broadcasters as high as 1000 m are easily predicted in regions ranging from quasi-flat to mountainous with the proposed geolocation database, which is composed of the novel yet simple propagation model and the PCP algorithm based on the diffraction theory. Finally, we perform an extensive analysis of TV WS (TVWS) spectrum availability in Japan based on NASA topography data, demographic information from the Statistic Bureau of Japan, and broadcaster-related information obtained from the Japanese Ministry of Communications. This analysis suggests that HAAT-based techniques should not be utilized in countries with rough terrain due to HAAT inherent lack of sensitivity to detailed topography, which hinde- s the potential of TVWS technology. We also computed the TVWS availability considering all (more than 2000!) transmitters, translators, and boosters across Japan and adjacent channel restrictions as required per regulations. We found that processing detailed topographic data by diffraction-based algorithms almost triple the expected TVWS bandwidth compared with HAAT-based techniques in this country.
机译:遵循美国联邦通信委员会(FCC)设想的标准方法,我们将数据库视为一种计划,用于计划空白(WS)无线电对甚高频/ UHF频谱的利用。但是,我们的方法与FCC的不同之处在于,建议的地理位置数据库不限于基于高于平均地形(HAAT)的天线高度来处理地形信息。我们的主要轮廓预测(PCP)算法使用菲涅耳衍射理论处理详细的区域地形数据,同时允许在灵活性方面保持灵活性以适应当地法规。这样可以在崎terrain的地形区域中提供更逼真的轮廓预测。此外,由于在现有传播模型中当前广播天线的高度限制为200 m,因此我们重新审视了Okumura等人的工作。并推导出适用于更大天线高度范围的新模型。具体来说,我们利用三阶多项式在最小二乘意义上拟合Okumura曲线,并以低阶(即)获得了显着的精度。结果,利用所提出的地理位置数据库,可以容易地预测从准平坦到山区的高达1000 m的广播电台的轮廓,该数据库由新颖而简单的传播模型和基于衍射理论的PCP算法组成。最后,我们根据NASA地形数据,日本统计局的人口统计信息以及从日本通信省获得的与广播商相关的信息,对日本的电视WS(TVWS)频谱可用性进行了广泛的分析。这项分析表明,由于HAAT固有的对详细地形的敏感性不足,这阻碍了TVWS技术的潜力,因此在崎which不平的国家不应该使用基于HAAT的技术。我们还考虑了日本各地所有(超过2000个!)发射机,转换器和增强器以及法规要求的相邻频道限制,计算了TVWS的可用性。我们发现,与该国基于HAAT的技术相比,通过基于衍射的算法处理详细的地形数据几乎是预期TVWS带宽的三倍。

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