基于过采样的归一化累积量盲均衡算法

摘要

The traditional baud spaced equalizer is used to compensate the aliasing frequency response characteristics of the received signal,but it cannot compensate the channel distortion.Concerning this problem,a normalized cumulant blind equalization algorithm based on oversampling technology was proposed.The received signal was oversampled firstly,and then the variable step-size was used to adaptively adjust weight coefficients of equalizer.It can not only avoid falling into local optimum,but also compensate the channel distortion effectively.The simulation results show that the algorithm can effectively speed up the convergence,and reduce the steady residual error.%传统的波特间隔均衡器只能补偿接收信号混叠的频率响应特性,并不能补偿信道畸变.针对这一问题提出一种基于过采样的归一化累积量算法,先对接收信号进行过采样,再利用变步长自适应调整均衡器的抽头系数,不仅能避免算法陷入局部最优,而且还能有效补偿信道畸变.仿真表明:引入过采样和变步长的盲均衡算法,有效地提高了收敛速度,降低了稳态剩余误差.