【摘要】 为了克服常数模算法(CMA)收敛速度慢、稳态剩余误差大的缺点,研究了常数模算法与判决引导算法(DD)相结合的双模式盲均衡算法,通过分析CMA和DD之间的相似之处,引出了一种新的切换条件用于该算法中2种模式之间的切换,并提出了基于该新切换条件的双模式盲均衡新算法。与硬切换不同,新算法中2种模式对信号的均衡是交替进行的。新算法充分利用了CMA能使眼图睁开的良好性能和DD收敛速度快、稳态误差小的优点,使其具有比CMA更快的收敛速度和更小的稳态剩余误差。用水声信道对算法的性能进行了仿真研究,结果证明了该算法的有效性。更多还原

【Abstract】 In order to overcome the slow convergence rate and large residual error after convergence of the CMA,we study a dual-mode algorithm for blind equalization based on the CMA and DD.By analyzing the similarity between the CMA and DD,a new switching condition for the dual-mode blind algorithm is proposed.And a new dual-mode blind equalization algorithm based on this new soft switching condition is proposed too.This algorithm makes full uses of the CMA’s capability of opening "initially closed eye" and DD’s capabilities of fast convergence rate and lower residual error after convergence.Therefore its performance is better than the CMA,and that is proved by computer simulations with underwater acoustic channels.更多还原