航空通信中干扰下的鲁棒性通信方法

发布时间：2018-05-09 19:36

本文选题：航空通信 + 噪声干扰　；参考：《计算机测量与控制》2014年10期

【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。
[Abstract]:In air-to-ground communication, there are a lot of nonlinear interference signals in the channel, which leads to the robustness change of the communication signal. A robust communication method based on information maximization algorithm is proposed. According to the characteristics of aeronautical communication, the communication model is established, and the mean and whitening methods are used to preprocess the communication signal. The information maximization algorithm is used to separate the signals, which realizes the robust requirement of the aeronautical communication signal, and completes the test on the Matlab7.0 platform and divides the aeronautical communication into external interference in the experiment. The simulation time is 3 000 s and the number of interference sources is 12. The experimental results show that the fitting rate of the algorithm to the original signal is about 97%, and the robustness error is about 3% on average. The error of the traditional algorithm is more than 10%, which indicates that the signal of the algorithm is more robust.
【作者单位】：首都经济贸易大学计算机与信息工程系;
【分类号】：TN972

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