基于波长统计检测的量子卫星通信性能优化策略

Performance optimization strategy of quantum satellite communication based on wavelength statistical detection

量子卫星通信在传输过程中由于会受到大气雾霾的影响,必然导致其通信性能下降,为了改善量子卫星星地链路雾霾干扰问题,本文首先分析不同雾霾环境(沙尘、煤烟、水溶等)中雾霾粒子有效半径对不同光量子信号波长的影响,表明在实际通信过程中需要根据不同雾霾环境选择合适的波长进行通信。在此基础上提出利用统计检测的方法自适应选择最优波长策略,该策略的主要目的在于使得量子卫星在不同雾霾环境的通信过程中的通信性能得到提高。仿真结果表明:系统的整体性能在采用本方案后,其信道容量、保真度、误码率均明显优于选取单一波长进行量子卫星通信,由此可见本方案对于在雾霾天气下的量子卫星通信过程的通信性能具有一定的改善作用。

During transmission,quantum satellite communications lead to poor performance inevitably because of large aerosol haze influence.In order to improve the smog interference on quantum satellite link,this paper analyses the influences of fog particle effective radius on different light quantum signal wavelength in different fog environments which including dust,soot,water solubility,etc.It shows that appropriate wavelength should be selected according to different haze environment for communication.On this basis,a statistical detection method is proposed to adaptively select optimal wavelength.The main purpose of this strategy is to improve the communication performance of quantum satellite in the communication process under different haze environments.The simulation results show that the overall performance of the system after the adoption of this scheme,its channel capacity,fidelity and bit error rate are obviously better than the single wavelength quantum satellite communication,so it can be seen that this scheme has a certain effect on improving communication performance of quantum satellite communication process in haze weather.