A novel method for the statistical prediction of rain attenuation in site diversity systems: theory and comparative testing against experimental data
A novel method for the statistical prediction of rain attenuation in site diversity systems: theory and comparative testing against experimental data
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站点多样性系统中雨衰统计预测的新方法：理论和与实验数据的比较测试
DOI：
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发表时间：
1998
影响因子：
1.7
通讯作者：
C. Riva
中科院分区：
文献类型：
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作者：
A. Bosisio;C. Riva
站点分集技术是克服地空通信链路严重衰减的一种有效技术。这种技术是基于实验证据，即强降雨小区的范围是有限的，因此，用两个或两个以上相隔几公里的站取代一个站，可以大大减少通信系统的中断概率。
本文将我们实验室为预测单站雨衰减统计而建立的物理EXCELL雨胞模型推广到了多样性配置系统的情况。为了比较的目的，在文献中发现的性能最好的模型，由霍奇和Matricciani提出的，被认为是两个。这三个模型预测的值与从国际电联无线电通信数据库和公开文献中收集的地面站之间最大间隔距离为15公里的41次实验的数据进行了比较。该站点间隔范围是最令人感兴趣的，因为分集路径中的衰减在20-30 km以上趋于不相关，因此分集方案所获得的益处变得微不足道。在不同的时间百分比的测量和预测的“相对分集增益”进行了比较：相对增益误差的RMS值显示，EXCELL是性能最好的模型。© 1998 John Wiley & Sons，Ltd。
Site diversity is a promising technique to overcome severe attenuation on earth–space communication links. This technique is based on the experimental evidence that intense rain cells are limited in extent, so that the replacement of one station with two or more stations separated by a few kilometres may substantially reduce the outage probability of the communication system.
In this paper the physical EXCELL rain cell model, developed at our laboratory for the prediction of single-site rain attenuation statistics, has been extended to the case of diversity configuration systems. For comparison purposes, two among the best-performing models found in the literature, proposed by Hodge and Matricciani, have been considered. The values predicted by the three models have been compared against data of 41 experiments with a maximum separation distance between ground stations of 15 km, collected both from the ITU-R databank and from the open literature. This site separation range is the most interesting one, because attenuations in diversity paths tend to be uncorrelated above 20–30 km and hence the benefit obtained by a diversity scheme becomes marginal. The measured and predicted ‘relative diversity gains’ at various time percentages have been compared: the RMS values of relative gain error show that EXCELL is the best-performing model. © 1998 John Wiley & Sons, Ltd.