一种有效的水声信道盲均衡算法

针对超指数迭代判决反馈盲均衡（SEIDFE）算法在水声通信系统中表现出的收敛性差的问题,提出了一种稳健性好、收敛快的双模式超指数迭代判决反馈盲均衡算法.该算法对均衡器输出的实部和虚部分别进行非线性变换以修正误差控制信号,从而纠正载波相位旋转;在此基础上,将一种新的自适应变步长算法应用到前馈滤波器前向权值的迭代步长中,提高算法收敛速度;并采取判决误差切换准则,将上述改进算法与判决导引算法有机结合起来,提高算法稳健性和收敛性能.仿真结果证明了该算法的有效性.

An Effective Blind Equalization Algorithm for Underwater Acoustic Channels

In order to overcome the ill convergence performance of super-exponential iteration decision feedback algorithm（SEIDFE） in underwater acoustic communication system,a robust dual-mode super-exponential iteration decision feedback blind equalization algorithm with the fast convergence speed is proposed.The non-linear transformation for the real part and imaginary part of equalization output is carried out by the presented algorithm to modify error control signal,so as to correct the deviation of carrier wave phase.Then,a new adaptive variable size step algorithm is introduced in the iteration size step of the weights in feed-forward filter,increasing the convergence speed of algorithm.Furthermore,the improved algorithm and decision directed algorithm are combined based on judgment error switching criterion to improve the robustness and convergence performance.The simulation results demonstrate that the effectiveness of new algorithm.