基于CMA的变步长盲均衡算法研究

Mingyu Yang, Dongming Xu
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引用次数: 0

摘要

在通信过程中,由于信道失真引起的码间干扰严重影响通信质量,这一问题往往通过均衡技术来解决。介绍了传统固定步长盲均衡恒模算法的原理,并通过仿真分析了该算法收敛速度快、稳态误差小的问题。为了解决这一问题,提出了一种基于CMA的变步长盲均衡算法。为了解决CMA算法收敛速度快、稳态误差小的问题,对CMA算法进行了改进,阐述了改进算法的原理,并分析了步长对算法性能的影响。最后通过仿真实验证明,改进算法在加快收敛速度的同时保持较小的稳态误差。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Study on Variable Step Size Blind Equalization Algorithm Based on CMA
The inter-symbol interference caused by channel distortion in the communication process seriously affects the communication quality, and this problem is often solved by equalization technology. The principle of the traditional blind equalization constant modulus algorithm (CMA) with fixed step is introduced, and the problem of fast convergence speed and small steady-state error is analyzed by simulation. In order to solve this problem, a blind equalization algorithm with variable step size based on CMA is proposed. In order to solve the problem of fast convergence speed and small steady-state error, the CMA algorithm is improved and the principle of the improved algorithm is described, and the influence of the step on the performance of the algorithm is analyzed. Finally, the simulation experiment proves that the improved algorithm can speed up the convergence speed and keep a small steady-state error at the same time.
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