适用于高阶QAM信号的混合型盲均衡算法

为了提高高阶QAM信号的盲均衡性能，提出了MMA—DD和SIGN-MMA-DD两种改进的混合型盲均衡算法。首先，MMA—DD算法将多模盲均衡算法和判决引导算法有机结合，并采用均方误差来控制两者在混合误差中的比例，降低了均衡器的稳态误差。然后对MMA．DD算法在误差计算和均衡器系数更新两方面进行简化，得到SIGN—MMA—DD算法，有效地降低了运算复杂度。仿真结果表明，两种算法的盲均衡性能优于多模盲均衡等算法。

ybrid Blind Equalization Algorithm for High Order QAM Signals

In order to improve the blind equalization performance for high-order QAM signals , two mended hybrid blind equalization algorithm MMA-DD and SIGN-MMA-DD are proposed in this pa-per. First, the MMA-DD algorithm combines the benefits of the MuhiModulus Algorithm (MMA)and the Decision-Directed Algorithm (DD), utilizes mean square error to control the proportion of two kind of error signals in total error signals and decreases the steady-state error. Besides, the SIGN-MMA-DD algorithm uses the sign operation in error computation and the equalizer tap update, and seduces the computational complexity. Simulation results demonstrate that compared with other MultiModulus blind equalization algorithms, the two proposed algorithms provide superior perform-ance.