论文部分内容阅读
针对恒模算法(CMA)收敛速度较慢、收敛后均方误差较大的缺点,提出一种新的双模式盲均衡算法.在算法初期,利用能快速收敛的归一化恒模算法(NCMA)进行冷启动,在算法收敛后切换到判决引导(DD-LMS)算法,减少误码率.计算机仿真表明,提出的新算法有较快的收敛速度和较低的误码率.
Aiming at the shortcomings of constant modulus algorithm (CMA), such as slow convergence rate and large mean square error after convergence, a new dual-mode blind equalization algorithm is proposed. At the beginning of the algorithm, the normalized constant modulus algorithm (NCMA ) To start the cold start, switch to the decision-directed (DD-LMS) algorithm after the algorithm convergence to reduce the bit error rate.Computer simulation shows that the proposed algorithm has faster convergence rate and lower bit error rate.