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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。
DD algorithm has the advantages of fast convergence, small steady-state residual error is one of the most commonly used blind equalization algorithm. Genetic blind equalization algorithm is a new blind equalization algorithm, which uses genetic algorithm to solve the problem of blind equalization and has better global optimization characteristics. After a comprehensive study of the characteristics of DD algorithm and genetic blind equalization algorithm, a new dual-mode genetic blind equalization algorithm is proposed based on the characteristics of error signal, which effectively combines the advantages of DD algorithm and genetic blind equalization algorithm. The arithmetic speed is improved and the convergence performance is improved. The problem of large computational complexity of the genetic blind equalization algorithm is solved, and the effectiveness of the algorithm is verified by computer simulation.