One is solving the QPSK NDA maximum likelihood equation by gradient approximation, which has better convergence performance than other methods.

• 一种是基于NDA(Non-Data-Aided)最大似然估计的梯度迭代求解方法,这种方法与其它迭代方法相比,具有更好的收敛性能。