摘要
航空器在进行空-地通信时,信道中会存在大量非线性的干扰信号,导致通信信号发生鲁棒性变化。提出一种基于信息最大化算法的航空通信中干扰下的鲁棒性通信方法,根据航空通信的特点建立通信模型,利用均值化处理方法和白化处理方法对通信信号进行预处理,利用信息最大化算法对信号进行信澡分离,实现了航空通信信号的鲁棒性要求;在Matlab7.0平台上完成测试,实验时航空通信划分成外部干扰,能够忽略和外部干扰不可忽略两种情况;仿真时间定为3 000s,干扰源数目为12个,实验结果表明利用该算法对原始信号的拟合率达到97%左右,鲁棒性误差平均在3%左右,而传统算法误差在10%以上,表明该算法信号的鲁棒性更强。
Aircraft in the air--ground communication, the channel will exist in a large number of nonlinear disturbance signal, cause communication signals change robustness. Put forward a kind of aviation communication based on information maximization algorithm robust- ness under the interference of communication methods. Communication model is established according to the characteristics of the aviation communication, using the method of average treatment and bleaching treatment method for signal preprocessing, the use of information maxi- mization algorithm of signal separation letter bath, implements the aviation communication signal robustness requirement. On Matlab7. 0 platform to complete the test, the experiment in aviation communication divided into two cases： external interference can be ignored and the external disturbance should not be neglected. Simulation time was 3 000 seconds, interference sources number 12, the experimental results show that using the algorithm of the original signal fitting rate of about 97%, robustness, average error is about 3%, and the traditional al- gorithm error is above 10%, show that this algorithm is stronger robustness of signals.
出处
《计算机测量与控制》
北大核心
2014年第10期3385-3387,共3页
Computer Measurement &Control
关键词
航空通信
噪声干扰
鲁棒性
信息最大化算法
aviation communication
noise interference
robustness
information maximization algorithm
