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<p>Analysis and quantifying the extent of failure (EoF) in a faulty circular antenna array (CAA) provides a niche of advantages to the array designers by permitting the likelihood of replacing a faulty array element. Nevertheless, there is a possibility that one or more antenna elements in an array could break down, thus&#xa0;distorting the array’s radiation pattern by raising the side lobe level (SLL) and decreasing directivity. In this research article, a CAA is investigated for the element failure correction of a faulty array by implementing a novel metaheuristic called artificial rabbits optimization (ARO) technique. Three different cases are investigated by introducing faults at the fifth and seventh positions initially, then at the third, sixth, eighth, and ninth positions in a 12-element CAA. Two parameters are calculated for estimating EoF, the percentage of SLL damage and the percentage of SLL recovery, which are 37.98 and 55.52 for the first case and 37.55 and 43.05, respectively, achieved by ARO. Similarly, for the third case, when faults are at six different positions, the value obtained is 76.32 and 155.14 for the two above-defined parameters, showing the efficacy of ARO when compared with different metaheuristics algorithms.</p>

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Quantify Extent of Failure for Defective Antenna Array Using Artificial Rabbits Optimization

  • 期刊论文

  • 发表日期：

    2025年7月25日

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  • Sunil Kumar,
  • Harbinder Singh

摘要

Analysis and quantifying the extent of failure (EoF) in a faulty circular antenna array (CAA) provides a niche of advantages to the array designers by permitting the likelihood of replacing a faulty array element. Nevertheless, there is a possibility that one or more antenna elements in an array could break down, thus distorting the array’s radiation pattern by raising the side lobe level (SLL) and decreasing directivity. In this research article, a CAA is investigated for the element failure correction of a faulty array by implementing a novel metaheuristic called artificial rabbits optimization (ARO) technique. Three different cases are investigated by introducing faults at the fifth and seventh positions initially, then at the third, sixth, eighth, and ninth positions in a 12-element CAA. Two parameters are calculated for estimating EoF, the percentage of SLL damage and the percentage of SLL recovery, which are 37.98 and 55.52 for the first case and 37.55 and 43.05, respectively, achieved by ARO. Similarly, for the third case, when faults are at six different positions, the value obtained is 76.32 and 155.14 for the two above-defined parameters, showing the efficacy of ARO when compared with different metaheuristics algorithms.