摘要
针对航空信道下OFDM子载波调制方式识别问题,提出了基于高阶累积量和幅度均值的联合特征提取方法,给出了基于高阶累积量和幅度均值的联合特征调制识别方法步骤,分析了在高斯信道环境和航空信道环境下方法的识别性能,研究了子载波数和信道多普勒频移对识别性能的影响.仿真结果表明,子载波数越多和多普勒频移越小,则识别性能越好;与已有方法相比,本文方法具有更高的识别准确率.
Aiming at the identification of OFDM subcarrier modulation mode in aviation channel, this paper proposes a joint feature extraction method based on high order cumulant and amplitude mean, and presents the steps of joint feature modulation identification method based on high order cumulant and amplitude mean. The paper also analyzes the identification performance of the method in Gaussian channel environment and aeronautical channel environment, and makes a study on the effects of subcarrier number and channel Doppler frequency shift on the identification performance. Simulation results show that the higher the number of subcarriers and the smaller the Doppler frequency shift, the better the identification performance, and that compared with existing methods,the proposed method has higher identification accuracy.
引文
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