Prediction of diversity statistics on terrestrial microwave links
作者： Kevin S. Paulson
DOI: 10.1029/2001RS002547
关键词: Meteorology 、 Statistics 、 Radar imaging 、 Temporal correlation 、 Rain fade 、 Diversity (business) 、 Microwave 、 Remote sensing 、 Attenuation 、 Computer science 、 Time diversity 、 Power (physics) 、 Electrical and Electronic Engineering 、 General Earth and Planetary Sciences 、 Condensed matter physics
摘要: [1] The average annual rain attenuation statistics experienced by individual microwave links are well understood. ITU-R models exist for the prediction of these statistics, and they used to assign power levels achieve desired availability. The performance networks such as mulithop or utilizing route, frequency time diversity, is considerably more complex, only superficial guidance available their design. complexity arises from correlation various in network. To understand predict networks, it necessary spatial temporal intensity. This paper uses a model high-resolution variation intensity proposed Paulson [2002]. allows direct calculation all first second order, temporal, pairs links, when link system covered single events. develop expressions joint distribution hence diversity improvement spanning small areas. These predictions compared measured database radar images covering southern United Kingdom.
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