使用高阶累积量对MPSK信号进行调制识别，基于分段非线性权重值的Pso算法，FIR 底通和带通滤波器和IIR 底通和带通滤波器，最终的权值矩阵就是滤波器的系数，预报误差法参数辨识-松弛的思想，基于kaiser窗的双谱线插值FFT谐波分析。- Using high-order cumulants of MPSK signal modulation recognition, Based on piecewise nonlinear weight value Pso algorithm, Bottom-pass and band-pass FIR and IIR filter bottom pass and band-pass filter, The final weight matrix is ??the filter coefficient, Prediction Error Method for Parameter Identification- the idea of relaxation, Dual-line interpolation FFT harmonic analysis kaiser windows.