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Memetic algorithms for optimizing adaptive linear array patterns by phase-position perturbations

机译：通过相位-位置扰动优化自适应线性阵列模式的模因算法

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摘要

In this paper, based on the phase-position perturbation method, an innovative optimal adaptive antenna technique is proposed, where the deduced radiation pattern formulas available for searching optimal solutions are used to search the optimal weighting vector. The optimal radiation pattern designs of adaptive antenna are studied by the phase-position perturbation method. Memetic algorithms are used to search the optimal weighting vector of the phase-position perturbations for the array factor. The design for an optimal radiation pattern of an adaptive antenna can not only adjustably suppress the interferers by placing nulls at the directions of the interfering sources, but at the same time provide a maximum main lobe in the direction of the desired signal, i.e., to maximize the signal-to-interference ratio. To achieve this goal, a new convergent method, referred to as the two-way convergent method for memetic algorithms, is proposed. The memetic algorithm combines a genetic algorithm and local search heuristics to solve combinatorial optimization problems. The memetic algorithm is a kind of improved type of the traditional genetic algorithm. By using a local search procedure, it can avoid the shortcomings of the traditional genetic algorithm, whose termination criteria are set up by using the trial and error method. This proposed method is also able to solve the multipath problem, which exists at the same time in this communication system. The optimal radiation pattern concept can be implemented in practical wireless communication systems. Simulation results are also given in this paper.
机译：本文基于相位置摄动法，提出了一种创新的最优自适应天线技术，该方法利用推导的可用于搜索最优解的辐射方向图公式来搜索最优加权矢量。通过相位-位置摄动法研究了自适应天线的最佳辐射方向图设计。使用模因算法来搜索相位因数扰动的最佳加权矢量，以获得阵列因子。自适应天线最佳辐射方向图的设计不仅可以通过在干扰源的方向上放置零点来可调节地抑制干扰源，而且还可以在所需信号方向上提供最大的主瓣，即最大化信号干扰比。为了实现这个目标，提出了一种新的收敛方法，称为模因算法的双向收敛方法。模因算法结合了遗传算法和局部搜索启发式算法来解决组合优化问题。模因算法是传统遗传算法的一种改进类型。通过使用局部搜索程序，可以避免传统遗传算法的缺点，传统遗传算法的终止标准是通过反复试验法建立的。所提出的方法还能够解决在该通信系统中同时存在的多径问题。最佳辐射图概念可以在实际的无线通信系统中实现。本文还给出了仿真结果。

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