大气噪声背景下的超低频MSK通信盲源分离法  

Simulation of MSK Communication in SLF Atmospheric Noise Based on BSS

作　　者：陈志毅[1] 周穗华[2] 韩锡岭 

机构地区：[1]92124部队 [2]海军工程大学兵器系 [3]92337部队

出　　处：《系统仿真学报》2014年第6期1362-1366,共5页Journal of System Simulation

摘　　要：由于超低频通信具有传播距离远、信号稳定和对海水穿透能力强的优点,常被用于远距离水下通信。而大气噪声作为超低频通信的主要干扰源,从统计数据看,由背景高斯噪声和脉冲噪声叠加而成,一直是困扰远距离水下通信的难题。首先利用Alpha稳定分布模型根据设定好的参数来产生一组随机大气噪声,然后由计算机产生一组随机信息进行MSK调制,并将大气噪声叠加到调制好的超低频信号上。最后采用盲源分离算法将大气噪声和MSK信号分离后再进行解调,仿真结果表明:受大气噪声污染的MSK信号直接解调误码率较高,而采用盲源分离算法后的误码率接近无大气噪声时的水平,明显改善了系统的通信可靠性。SLF communication is usually applied to long-distance communication with underwater objects because of its long range, stabilization and high penetration rate of seawater. Atmospheric noise is the major interference source, which is always a trouble of long-distance underwater communication.From statistics, atmospheric noise is composed of background noise obeying to Gaussian distribution and impulsive noise. Alpha stable distribution model was adopted according to set parameters to produce random atmosphere noises firstly, which would be added to modulated MSK signals of a random message produced by computer. At last, blind sources separation（BSS） was applied to separate the atmosphere noise and MSK signals before demodulation. Simulated results indicate that the BER becomes worse than that without atmospheric noise. But demodulation BER after BSS is as the same as that without atmospheric noise. The reliability of communication system has been improved.

关 键 词：超低频 最小频移键控 大气噪声 盲源分离 误码率 

分 类 号：TN911.3[电子电信—通信与信息系统]