In this work, modified constant modulus algorithm based on bat algorithm is proposed for wireless sensor communications systems. The bat algorithm is a swarm intelligence optimization algorithm, which mainly used to solve optimization problems. The proposed algorithm focused on modified constant modulus algorithm, which is also applicable to the constant modulus algorithm. The error function of blind equalization algorithm is used as the evaluation function of the bat algorithm, and then the initial value of the weight vector is calculated adaptively by the bat algorithm. Theoretical analysis is provided to illustrate that the proposed algorithm has a faster convergence speed than the original one and is suitable for almost all blind channel equalization algorithms. The simulation results support the newly proposed improved algorithm. The proposed algorithm could be applied to some more complex wireless channel environments to improve the reception performance of sensor communication systems.

中文翻译：

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基于蝙蝠算法的修正恒模算法

在这项工作中，提出了一种基于蝙蝠算法的改进的恒定模量算法，用于无线传感器通信系统。bat算法是一种群体智能优化算法，主要用于解决优化问题。提出的算法侧重于改进的恒模算法，该算法也适用于恒模算法。将盲均衡算法的误差函数用作蝙蝠算法的评估函数，然后利用蝙蝠算法自适应地计算权重向量的初始值。理论分析表明，该算法收敛速度快于原始算法，适用于几乎所有盲信道均衡算法。仿真结果支持了新提出的改进算法。