一种用于长期预测云中液态水含量的优化输入系统

Wutao Chen, Kanglian Zhao, Wenfeng Li
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摘要

本文提出了一种改进的空间-地球激光通信场景下云中液态水含量的模拟方法。云液态水可以阻断高频激光链路,因此需要考虑星地激光通信场景中云液态水的变化来确定激光链路的阻断情况。原有的集成液态水含量(ILWC)合成器采用单点云液态水统计数据的输入法,虽然精度不高,但适用于卫星接收点固定的场景。改进的云液态水统计数据输入线性插值方法提高了输入数据的整体精度。当地面卫星接收点处于移动状态时,仿真结果更加准确,可以更好地用于多地面站卫星通信网络的资源调度。
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An optimized input system for long-term prediction of cloud liquid water content
In this paper, an improved method for simulating cloud liquid water content in a space-earth laser communication scenario is presented. Cloud liquid water can block high frequency laser link, so it is necessary to consider the change of cloud liquid water in satellite-ground laser communication scenarios to determine the laser link blocking situation. The original Integrated Liquid Water Content (ILWC) synthesizer adopts the input method of using statistical data of cloud liquid water in a single point, which is not exactly accurate but applicable to the scene with fixed satellite receiving point. The improved linear interpolation method for cloud liquid water statistical data input improves the overall accuracy of the input data. The simulation results are more accurate when the ground satellite receiving point is mobile, and can be used for a better resource scheduling of a multi-ground station satellite communication network.
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