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Swarm Intelligence-based Optimal Design to Minimize the Sidelobe Level of Concentric Circular Antenna Array with Element Failures

机译:基于群智能的优化设计,以最大程度地减少同心圆天线阵列的旁瓣电平,并减少元件故障

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摘要

In an antenna array due to large number of elements, there is always a possibility of failure of one or more elements in the array system, which results in increased SLL with distorted radiation pattern. Recovering the optimal beam pattern can be done by recalculating the amplitude distributions for array elements leaving the failed elements. Here, we have corrected the radiation pattern for concentric circular antenna array (CCAA) with central element, as CCAA with central element is widely implemented in smart antennas and mobile communication. A central element has been added to array to increase the steering capability of proposed array. It has been noticed that after failure of three or more number of elements with central element, there is a significant increase in side lobe level (SLL) which degrades the performance of the system. This distortion is corrected using bacterial foraging optimization, standard particle swarm optimization (PSO), and craziness-based particle swarm optimization (CRPSO) technique. The results of standard PSO and CRPSO are compared for a three ring CCAA with central element and it has been concluded that CRPSO gives the optimum result.
机译:在天线阵列中,由于存在大量的元件,阵列系统中总是存在一个或多个元件失效的可能性,这会导致SLL随辐射方向图失真而增加。可以通过重新计算离开失效元件的阵列元件的振幅分布来恢复最佳光束方向图。在这里,我们已经校正了带有中心元件的同心圆天线阵列(CCAA)的辐射方向图,因为带有中心元件的CCAA已广泛应用于智能天线和移动通信中。阵列中增加了一个中心元件,以提高所提出阵列的操纵能力。已经注意到,在具有中心元件的三个或更多个元件失效之后,旁瓣水平(SLL)显着增加,这降低了系统的性能。使用细菌觅食优化,标准粒子群优化(PSO)和基于疯狂度的粒子群优化(CRPSO)技术可以纠正这种失真。比较了具有中心元素的三环CCAA的标准PSO和CRPSO结果,并得出结论,CRPSO给出了最佳结果。

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