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Genetic algorithms based analyses of nonlinearly loaded antenna arrays including mutual coupling effects

机译:基于遗传算法的非线性加载天线阵列分析,包括互耦效应

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Initially, the analysis of a single nonlinearly loaded antenna is transformed into a nonlinear microwave circuit with the circuit elements representing the antenna element and the lumped load. This equivalent circuit is then reformulated into an optimization problem which can be solved by genetic algorithms. The analyses can also be easily extended to finite and infinite nonlinearly loaded antenna arrays including mutual coupling effects. Numerical examples show that the results by genetic algorithms are consistent with those using harmonic balance techniques. With the use of genetic algorithms, our analyses do not require a suitable guess of an initial solution and there exists no gradient operations in the iteration procedures. Therefore, the analyses are suitable for problems of nonlinearly loaded antenna arrays with any types of lumped loads and the array mutual coupling effects are included.
机译:最初,将单个非线性负载天线的分析转换为非线性微波电路,电路元件代表天线元件和集总负载。然后将该等效电路重新构造为可以通过遗传算法解决的优化问题。该分析还可以轻松扩展到包括互耦效应的有限和无限非线性负载天线阵列。数值算例表明,遗传算法的结果与谐波平衡技术的结果是一致的。使用遗传算法,我们的分析不需要对初始解进行适当的猜测,并且迭代过程中不存在梯度运算。因此,该分析适用于具有任何类型的集中负载的非线性负载天线阵列的问题,并且包括阵列互耦效应。

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