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机构地区:[1]中国空间技术研究院西安分院,西安710000 [2]中国空间技术研究院,北京100086
出 处:《中国空间科学技术》2010年第5期74-82,共9页Chinese Space Science and Technology
摘 要:针对传统遥感卫星数据传输中存在的资源浪费问题,提出了自适应数据传输的概念;重点介绍了第二代数字卫星电视广播标准(DVB-S2)中的自适应编码调制技术(ACM);在此基础上对自适应编码调制技术在遥感卫星数据传输中的应用做了详细分析,通过链路计算与信噪比估计两种方法得出自适应系统与非自适应系统相比在数据传输中性能提升很大,其中固定降雨备余量情况下通过链路计算得出自适应系统传输的数据量是非自适应系统的1.66倍,而基于动态信道模型的信噪比估计方法使得系统性能提升更加显著,传输的数据量是非自适应系统的8.14倍;最后对影响ACM性能的因素进行了分析,仿真结果表明信噪比估计误差和延时对系统性能影响很大,移位门限技术可以有效的降低信噪比估计误差对系统性能的影响,而延时则需要对信道状态的预测来减小其影响。The concept of adaptive data transmission,for the conventional remote sensing satellite data transmission was put forward.The adaptive coding and modulation(ACM) used in DVB-S2 was introduced.On the basis of DVB-S2 ACM,the application of adaptive coding and modulation in remote sensing satellite data transmission was analyzed.The results verify the adaptive system has much better performance than that of the non-adaptive system in the data transmission system through link budgets and SNR estimation.The transmission data quantity of adaptive system is 1.66 times than that of non-adaptive system through link budgets under the condition of fixed rainfall margins;while it is 8.14 times than that of non-adaptive system through SNR estimation based on the dynamic channel model.The factors impacting ACM performance were analyzed.The simulation results show that the SNR estimation error and delay have a great impact on system performance,and shifted thresholds technology can effectively reduce the impact of SNR estimation error on system performance,but it needs channel state prediction to reduce the impact of delay on system performance.
分 类 号:V474.2[航空宇航科学与技术—飞行器设计]
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