摘要： 针对高阶QAM信号的盲均衡问题，提出一种将广义多模算法(GMMA)与判决引导(DD)算法相结合的混合型盲均衡算法GMMA-DD。该算法融合GMMA算法与DD算法的优势，采用均方误差控制2类误差信号在总误差信号中所占的比例，从而提高高阶QAM信号的盲均衡性能。为便于现场可编程门阵列(FPGA)实现，对GMMA-DD算法进行改进，以降低算法复杂度、节省硬件资源。在FPGA上采用串行结构，以流水线的方式设计并实现该算法。实验结果表明，该盲均衡器能够较好地完成对高阶QAM信号的均衡。

关键词: 高阶QAM信号混合型盲均衡算法, 现场可编程门阵列实现

Abstract: Aiming at blind equalization problem of QAM signal, this paper proposes a hybrid blind equalization algorithm named GMMA-DD by combining Generalized Multi-Modulus Algorithm(GMMA) and Decision-Directed(DD) algorithm. It combines the benefits of GMMA and DD algorithm, and utilizes the mean square error to control the proportion of two kind of error signals in total error signals to improve the performance of blind equalization. An improved algorithm with lower computational complexity and less FPGA resources is presented and implemented to simplify FPGA-based implementation by using serial and pipelining structures. Experimental results show that the algorithm has good performance for high-order QAM signals.

Key words: high-order QAM signal, hybrid blind equalization algorithm, FPGA-based implementation

中图分类号: 

• TP301.6