The idea of affine projection and data-reusing in adaptive filtering field is applied to the modified constant modulus algorithm (MCMA).
该算法将自适应滤波领域中的仿射投影和数据重用思想引入修正常模算法(MCMA)盲均衡器。
In the MCMA, adjusting the scale coefficients of two gradient vectors can improve the convergence rate and reduce residual mean square error.
调整该算法中两个梯度矢量的比例系数，可提高该算法收敛速度、减少收敛后的均方误差。
In order to overcome the slow convergence rate of traditional CMA (Constant modulus algorithm), a Momentum algorithm based Constant modulus algorithm (MCMA) is proposed.
针对传统常数模算法收敛速度慢的缺点，提出了一种基于动量算法的常数模算法。
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