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用于数字通信盲信道均衡的恒模算法(CMA)存在收敛速度慢和相位旋转等缺点。该文提出了一种修正的恒模算法(MCMA),该算法能使被修正的误差函数最小化,并且自适应学习率可由接收序列即时调整。用正交振幅调制(QAM)信号对两种算法进行了性能比较,广泛的模拟结果显示提出的修正恒模算法比普通恒模算法的收敛速度快,均衡输出符号间干扰(ISI)小。该算法收敛后均衡器输出既无相位旋转也无延迟等特点。与普通恒模算法相比该文提出的修正恒模算法的盲均衡性能更优。
The constant modulus algorithm (CMA) used for the blind channel equalization of digital communication has the disadvantages of slow convergence and phase rotation. In this paper, a modified constant modulus algorithm (MCMA) is proposed, which can minimize the error function to be corrected, and the adaptive learning rate can be instantaneously adjusted by the received sequence. The performance of the two algorithms is compared with the Quadrature Amplitude Modulation (QAM) signal. Extensive simulation results show that the proposed modified constant modulus algorithm has faster convergence rate and lower ISI than the ordinary constant modulus algorithm. After the convergence of the algorithm equalizer output neither phase rotation nor delay and so on. Compared with ordinary constant modulus algorithm, the modified constant modulus algorithm proposed in this paper has better blind equalization performance.