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Correction of faulty pattern using cuckoo search algorithm and symmetrical element failure technique along with distance adjustment between the antenna array

机译:使用布谷鸟搜索算法和对称元件故障技术以及天线阵列之间的距离调整来校正故障模式

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In this work, we propose a cuckoo search algorithm (CSA) based on symmetrical element failure technique along with distance adjustment between the array element for the correction of faulty beams. Our assumption is that, the faulty element location is known. Due to element fails, the whole radiation pattern is disturbed in terms of raise in sidelobe levels and dislocation of nulls from their required positions. In this approach, the CSA is used to find the locations d, of the active elements with minimum sidelobes level and null position in failed array antenna. The meta-heuristic cuckoo search algorithm (CSA) is used for the suppression of sidelobes level and steering of nulls at their required positions. The CSA is based on the normal oblige offspring bloodsucking behavior of the cuckoo species in combination with the Levy flight behavior of some birds. The fitness function is used to minimize the error between the desired and estimated pattern along with null constraints. Simulation results for a Chebyshev pattern of 21 elements have been given to display the validity and performance of the proposed technique.
机译:在这项工作中,我们提出了一种杜鹃搜索算法(CSA),该算法基于对称元素失效技术以及阵列元素之间的距离调整来校正故障波束。我们的假设是,故障元件的位置是已知的。由于元件失效,整个辐射方向图在旁瓣电平的升高和零位从其所需位置的错位方面受到干扰。在这种方法中,CSA用于查找失效天线阵中具有最小旁瓣电平和零位的有源元件的位置d。元启发式布谷鸟搜索算法(CSA)用于抑制旁瓣电平和在所需位置处引导零点。 CSA基于杜鹃物种正常的正常后代吸血行为以及某些鸟类的Levy飞行行为。适应度函数用于最小化所需模式和估计模式之间的误差以及空约束。给出了21个元素的Chebyshev模式的仿真结果,以显示所提出技术的有效性和性能。

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