基于误差信号的双模式遗传盲均衡算法研究

DD算法具有收敛速度快,稳态剩余误差小的优点,是一种最常用的盲均衡算法。遗传盲均衡算法是一种新的盲均衡算法,它利用遗传算法来解决盲均衡问题,具有较好的全局优化特性。在综合研究了DD算法及遗传盲均衡算法的特性后,利用误差信号的特性,给出了一种新的双模式遗传盲均衡算法,有效的结合了DD算法以及遗传盲均衡算法的优点,大大提高了算法的运算速度,提升了收敛性能,解决了遗传盲均衡算法运算量大的问题,并通过计算机仿真验证了该算法的有效性。

Dual-mode genetic blind equalization algorithm based on error signals

Direct decision (DD) is the most frequently-used blind equalization algorithm with advantages of fast convergence and small residual errors. Genetic blind equalization is an effective method for blind equalization, which makes use of a genetic algorithm to solve blind equalization problems and has better global optimization characteristics. By studying characteristics of the DD algorithm and genetic blind equalization, this paper provides a dual-mode genetic blind equalization algorithm by using error signals. The proposed method combines advantages of DD and genetic blind equalization, and significantly improves operation efficiency. It also enhances convergence performance and avoids a larger operand in the genetic blind equalization algorithm. Effectiveness of the algorithm is verified in computer simulation.