摘要： 常数模算法(CMA)在QAM信号上的星座图匹配，存在剩余误差大、无法纠正相位偏差等问题。为此，在研究盲均衡算法的基础上，根据高阶QAM 信号的星座图特点，构造新型的均衡估值函数，并采用误差能量作为步长变化的依据，提出一种变步长星座匹配多模算法。仿真实验结果表明，该算法具有较好的收敛效果，且能改善位偏转，保持CMA算法的鲁棒性。
关键词:
多模算法,
高阶QAM,
盲均衡,
误差能量,
变步长,
星座匹配函数
Abstract: A new variable step-size algorithm is proposed to reduce the residual error and the phase error caused by the mismatch of the Constant Modulu Algorithm(CMA) and constellations of the high-order QAM signals. The new algorithm takes the error energy as the step-size control criteria to get a balance between the convergence rate and the residual error. Simulation experimental result shows that compared with other blind equalization algorithm, the new algorithm gets a better residual error and phase recovery, and keeps the robustness unchanged.
Key words:
multiple model algorithm,
high order QAM,
blind equalization,
error energy,
variable step-size,
constellation match function
中图分类号:
崔蔚, 林宝军. 一种变步长星座匹配多模算法[J]. 计算机工程, 2012, 38(11): 88-90.
CUI Wei, LIN Bao-Jun. Variable Step-size Constellation Match Multiple Model Algorithm[J]. Computer Engineering, 2012, 38(11): 88-90.