基于遍历容量的低轨卫星协作通信中继选择算法

发布时间：2018-02-04 23:43

本文关键词： 卫星通信低轨卫星中继选择遍历容量　出处：《信号处理》2017年10期 　论文类型：期刊论文

【摘要】：在低轨卫星通信系统下行链路中引入协作技术,可获得协作分集增益,从而减小信道衰落的影响。目前在目标通信区域内多星的覆盖率非常高,合适的中继卫星选择策略对于提升卫星通信网络的整体性能至关重要。针对这一问题,本文提出一种基于遍历容量的中继选择算法。该算法借助卫星轨道信息以及统计信道信息,综合考虑卫星高动态和资源受限的特点,通过公平性因子进行遍历容量和协作能量消耗折中,选择具有最佳权重遍历容量的节点作为协作卫星。并在此过程中,得到了卫星间协作链路信噪比概率密度闭式表达式,该表达式用来求解协作链路遍历容量。仿真分析表明,该方法可以动态的调整协作卫星的优先级,在误比特率性能和公平性之间可以达到很好的平衡,并且可以在低EIRP情况下提高卫星的服务时间。
[Abstract]:In the downlink of Leo satellite communication system, the cooperative diversity gain can be obtained and the influence of channel fading can be reduced. At present, the multi-satellite coverage in the target communication area is very high. Appropriate relay satellite selection strategy is very important to improve the overall performance of satellite communication network. In this paper, a relay selection algorithm based on ergodic capacity is proposed, which takes into account the characteristics of high dynamic satellite and limited resource with the help of satellite orbit information and statistical channel information. Traversal capacity and cooperation energy consumption are compromised by fairness factor, and nodes with optimal weight ergodic capacity are selected as cooperative satellites. The closed expression of signal-to-noise ratio (SNR) probability density of inter-satellite cooperative link is obtained, which is used to solve the traversal capacity of cooperative link. Simulation results show that the proposed method can dynamically adjust the priority of cooperative satellite. A good balance can be achieved between bit error rate performance and fairness, and satellite service time can be improved at low EIRP.
【作者单位】：西安电子科技大学综合业务网理论及关键技术国家重点实验室;
【基金】：国家“111”创新引智基地资助项目(B08038) 先进轨道交通重点专项资助项目(2016YFB1200202)
【分类号】：TN927.2
【正文快照】： 1引言低轨(Low Earth Orbit,LEO)卫星相对于中高轨卫星具有轨道高度低、传输时延短、路径损耗小的优势,利用LEO卫星获得目标物高分辨率图像以及通讯服务已经广泛应用于军、民领域。现有LEO卫星系统中,多通过单颗LEO卫星完成星地数据传输。然而,单颗LEO卫星覆盖范围有限,且相对

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