摘要： 数据重用可以有效地加快盲均衡算法的收敛速度，但会带来噪声放大的问题。针对这种情况，该文将数据重用方法应用到基于实虚部分开处理的改进常模盲均衡算法中，采用集员滤波克服应用数据重用时引起的噪声放大问题，推导出一种收敛速度较快的盲均衡算法。实验仿真表明，该算法具有较快的收敛速度，适用于短时信号处理。

关键词: 盲均衡, 改进常模算法, 数据重用, 集员滤波

Abstract: Data-reuse can accelerate the convergence rate of the blind equalization algorithm, while it also brings about the problem of noise magnifying. A novel blind equalization algorithm with fast convergence rate is presented by applying data-reuse to the modified constant modulus algorithm that processes the real and imaginary parts of received signal separately, and the set-membership filtering is adopted to solve the problem of noise magnifying caused by data-reusing. Simulations show that the new blind equalization algorithm is of fast convergence, thus is suitable for short burst signal processing.

Key words: blind equalization, modified constant modulus algorithm, data-reuse, set-membership filtering

中图分类号: 

• TN911.72