自适应均衡算法的研究进展

Developments in Adaptive Equalization Algorithm Research

简述了能补偿或减小现代通信系统中的码间干扰问题的自适应均衡算法的基本原理及其特点.介绍了最小均方误差算法、递归最小二乘算法等几类主要的自适应均衡算法,并阐述了近年来出现的主要的自适应均衡算法的原理,对误码率、收敛速度、运算量及稳态误差等评价指标进行了分析.结合分析结果和自适应均衡算法的实际应用前景,探讨了这一领域需要进行进一步研究的问题,并对今后的研究进行了展望.

For solving the Inter-Symbol Interferences （ISI） problem in the modern communication systems, the qualities and fundaments of the adaptive equalization algorithm were detailed. Straightforward introduction was proposed for the main kinds of adaptive equalization such as LMS and RLS. Some key evaluation indexes in several main research fields including the Bit Error Rate, the convergence speed, the computational complexity and steady-state errors were analyzed. Combining the analysis results and the possibility of the practical application of the adaptive equalization algorithm, several important problems in future research on adaptive equalization algorithms were presented.