针对目前分数间隔盲均衡算法存在的缺陷,提出了基于分数间隔的四二阶归一化累积量盲均衡算法.先对接收信号进行分数间隔采样,然后利用四二阶归一化累积量将盲均衡算法归结为无约束的极值问题,从而简化了算法,加快了收敛速度,降低了误码率.仿真验证了算法的有效性. Aiming at the shortcomings of the current blind fractional interval equalization algorithms, a quarter-order normalized cumulant blind equalization algorithm based on fractional interval is proposed.Firstly, the received signal is sampled at fractional intervals, and then the fourth and second order normalized cumulants are used to blind The equalization algorithm comes down to the unconstrained extreme value problem, which simplifies the algorithm, speeds up the convergence and reduces the bit error rate.The simulation results show the effectiveness of the algorithm.