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Adaptive rateless coding scheme for deep-space Ka-band communications

机译:适用于深空Ka波段通信的自适应无速率编码方案

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The deep-space Ka-band channels are very sensitive to the weather conditions of the ground station area, where the data link will be suffered by high dynamic bit error rate and even occurred random interruption. Moreover, the huge distance of the deep-space communications caused that the transmitter can only have delayed channel state information (CSI) feedback. We modeled the noise temperature of the Ka-band link as an N-state Markov model based on the Autoregressive (AR) analysis in this paper, and then proposed a low-error channel state estimation algorithm. Furthermore, we designed an adaptive rateless coding scheme based on Analog fountain codes (AFC), which is capable to adjust code-rate to maximize the usage of the Ka-band link. Simulation results show that the proposed scheme have capacity-approaching performance, can increase system throughput and improve transmission efficiency.
机译:深空Ka波段信道对地面站地区的天气状况非常敏感,在地面站地区,数据链路将遭受高动态误码率甚至发生随机中断的困扰。此外,深空通信的巨大距离导致发射机只能具有延迟的信道状态信息(CSI)反馈。本文基于自回归(AR)分析,将Ka波段链路的噪声温度建模为N状态马尔可夫模型,然后提出了一种低误差信道状态估计算法。此外,我们设计了一种基于模拟喷泉码(AFC)的自适应无速率编码方案,该方案能够调整码率以最大程度地利用Ka频段链路。仿真结果表明,该方案具有逼近容量的性能,可以提高系统吞吐量,提高传输效率。

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