摘要
提出了一种具有估计幅值可调的线性常系数盲自适应数字均衡器算法，并对其进行了理论与公式推导。该算法克服了在一般的常系数盲数字自适应算法中，由于估计幅值选择不合适，所造成加权矢量不收敛的缺点。使归一化常系数模型算法更具有通用性。
The normalized constant modulus blind equalization algorithms with adaptive adjusting the dispersion constant is proposed in this contribution.No convergent drawback of the weight vector due to choose the dispersion constant inaccurately in the normalized constant modulus algorithms (NCMA) is overcome.It makes NCMA more common use.
关键词
自适应均衡器
加权矢量
估计幅值
adaptive equalizers, weight vector, estimate amplitude, convergence
