针对MPSK信号的调制识别问题，本文提出了一种新的最大似然比调制分类算法，采用平均释然比检测方法，通过对接收信号的的离散化和对主要参数的简要近似，得到了离散情况下的近似分类统计量！-MPSK signals for modulation recognition problem, we propose a new maximum likelihood modulation classification algorithm, using an average of more than relieve

采用的是脉冲对消法，给出接收信号眼图及系统仿真误码率，使用高阶累积量对MPSK信号进行调制识别。- It uses a pulse of consumer law, The received signal is given eye and BER simulation systems, Using high-order cumulants of MPSK signal modulation recognition.

意信号卷积的运算,并且绘制图象，鲁棒性好，性能优越，使用高阶累积量对MPSK信号进行调制识别。- Convolution operation is intended to signal and image rendering, Robustness, superior performance, Using high-order cumulants of MPSK signal modulation recognition.

ofdm system simulation including 16qam modulation fft windowing modules plus cp, Using high-order cumulants of MPSK signal modulation recognition, NRZ type differential phase modulation signal modeling and simulation analysis.