为了实现对通信源个体特征的辨识，提出一种利用高阶累积量的多目标优化求解特征量方法. 将射频功率放大器的等效模型变换为多输入-单输出系统，导出了系统输入信号累积量与输出信号累积量之间的关系式. 通过多目标遗传优化算法求解方程，可获得射频功放的个体特征. 仿真实验验证了方程的正确性，特征量优化估计值与直接计算值很接近，表明该算法能正确辨识通信源的个体特征.
To identify personality of a radio signal, a new method of multi-object optimization is proposed to solve a system of high order cumulants equations. The power amplifier model is first shown to be equivalent to a multi-input single-output system. A system of equations is derived from the cumulant relation between input and output. The system is solved with multi-object genetic optimization to obtain the features. The system of equations is verified by simulation, and the results of estimation are compared with computed values, showing that the proposed method can extract features from the received signal only with minor errors.
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