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基于遗传算法的水声信道常模类盲均衡算法研究

The study of CMA based ongenetic algorithm for underwater acoustic channel

  • 摘要: 为了解决CMA盲均衡算法收敛速度缓慢、稳态误差大的问题,考虑到初始化权值对CMA算法的重要影响,利用了遗传算法对CMA算法进行有效改进,引入了小样本重用的思想,给出了一种新的适用于水声信道的常模类盲均衡算法,计算机仿真研究证明,该算法不仅大大加快了收敛速度,而且有效的降低了稳态误差。

     

    Abstract: Considering the significance of initialization in CMA,this paper proposes a new algorithm to improve the performance of CMA with the genetic algorithm. In the new algorithm,the idea of stylebook iteration is introduced in respect that the ultimate step of the new algorithm can reach an optimum value with a residual error reaching the minimum simultaneously. Simulation results confirm the effectiveness of the proposed techniques to lead superior performance to CMA.

     

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