采用瞬时梯度变化率判决的双模式盲均衡算法

为进一步提高恒模盲均衡算法的性能，文中提出了一种采用瞬时梯度变化率判决的双模式盲均衡算法。利用两次相邻均衡迭代前后的归一化权值变化量定义瞬时梯度变化率，并依此设置判据实现均衡迭代过程中的恒模算法和判决引导算法的适时切换，实现双模式盲均衡算法。双模式盲均衡算法可以有效结合恒模算法稳健和判决引导算法快速收敛和收敛精度高的优点，提高盲均衡算法的性能,计算机仿真结果证明了算法的有效性。

Dual Mode Blind Equalization Algorithm Based on Instantaneous Gradient Change Rate

To further improve the performance of constant modulus blind equalization, an instan- taneous gradient change rate based dual mode blind equalization algorithm is proposed in this pa- per. The instantaneous gradient change rate is defined according to the change rate of the nor- malized weights between before and after the adjacent equalization iteration. Based on the change rate we set the threshold, which can realize the switch between the constant modulus al- gorithm （CMA） and directed decision （DD） algorithm. Dual mode blind equalization algorithm can combine the advantage of robustness of CMA and the faster convergence rate of DD to im- prove the performance. Computer simulation results demonstrate the validity of the algorithm.