航空信道下MPSK类信号的调制识别  

Modulation identification of MPSK signals in the Aeronautical channel

作　　者：元洪波[1] 王珂[2] 

机构地区：[1]空军第一航空学院航空电子工程系,河南信阳464000 [2]武汉理工大学信息工程学院,湖北武汉430070

出　　处：《信号处理》2013年第2期249-255,共7页Journal of Signal Processing

摘　　要：信号自动调制识别的现有研究主要集中在AWGN、Rayleigh等理论信道模型中。为了解决实际航空通信中信号调制识别问题,首次针对超短波工作频段的时变航空信道对此类问题进行研究。首先论述航空信道模型和天线分集理论技术,然后将经典的高阶累积量算法分别用于不同的飞行状态中,提取MPSK类信号的分类特征进行识别,同时结合天线分集技术提高接收端信号的信噪比,从而有效的弥补了时变信道中多普勒频移和多径衰落的影响。仿真结果将不同飞行状态下分集前后的情况进行对比表明,新算法可以实现在时变航空信道环境下对MPSK类信号的分类识别,且具有良好的抗衰落及抗噪声性能,天线分集技术的运用明显改善了接收信号的质量,提高了识别正确率。The existing modulation identification research for communication signals focused on AWGN, Rayleigh theoretical channels. It is the first time to do the research that aims at the time varying Aeronautical channel in the ultrashort wave frequency band in order to solve the problem of the signal modulation identification in the reality Aeronautical communication circumstance. Firstly we discuss the construction of the Aeronautical channel model and the antenna diversity technique, and then analyze the MPSK signal recognition extracted by the classical higher order statistics algorithm that applied in the different scenarios of Aeronautical channel. The combination of the antenna diversity technique can raise the SNR of the received signal; therefore it makes up the bad influence of Doppler frequency shift and multipath fading in the time varying channel effectively. The simulation result which contrasts the situation before and after the diversity in different flight conditions shows that the new algorithm can be applied in the Aeronautical environment and it has the better anti-fading and antinoise performance. The utilization of the antenna diversity technique can improves the quality of the received signals and the correct recognition rate of identification obviously.

关 键 词：航空信道 调制识别 高阶累积量 天线分集 

分 类 号：TN911.72[电子电信—通信与信息系统]