Abstract: The desire for further reduction in computational complexity has motivated quantized-error version of Multi-Modulus Algorithm（MMA）.A class of computationally efficient multi-modulus blind equalization algorithms are presented.The Signed-Error Multi-Modulus Algorithm（SE-MMA），based on the use of signed-error，has lower computational complexity.In order to enhance the robustness properties of SE-MMA，a Dithered Signed-Error of MMA（DSE-MMA） based on the judicious use of dither，is pro-posed which results in an algorithm with robustness property closely resembling those of MMA with the cost of the degradation in steady-state Mean Square Error（MSE）.Then a variable step-size version of DSE-MMA is presented，which has faster convergence speed and lower steady-state MSE.The performance of these algorithms are evaluated via simulations and have shown to have excellent performance as compared to the MMA，with substantially less complexity.

Key words: blind equalization, dithered signed-error algorithm, multi-modulus algorithm, variable step-size, computational complexity

摘要： 为了进一步降低多模盲均衡算法的计算复杂度，研究了一类计算有效的量化误差多模算法。符号误差多模算法对误差信号取符号操作，降低了计算复杂度，易于硬件实现。采用抖动量化技术可以进一步提高符号算法的鲁棒性，但稳态均方误差性能有所下降。利用变步长策略的变步长抖动符号误差算法不仅收敛速率快，而且具有低稳态均方误差值。仿真结果验证了这三种算法的特性。

关键词: 盲均衡, 抖动符号误差算法, 多模算法, 变步长, 计算复杂度