基于改进杂草入侵算法的阵元失效校正方法

Failed Elements Correction Method Based on Invasive Weed Optimization Algorithm

针对天线损伤造成的阵元缺失问题,出现的旁瓣电平升高、主瓣展宽等性能恶化现象,提出一种通过改变计算适应度方法的改进杂草入侵优化算法。算法能够加快程序运行时间,提高算法效率。并利用改进的杂草入侵优化算法,针对-40dB的32单元阵列为例,随机缺失4阵元后进行优化,恢复原方向图副瓣水平。并且为验证算法在实际工程的应用性,针对16阵元天线采集实测数据进行校正优化。结果显示,上述算法能够有效地解决,阵列天线中天线单元失效后方向图恶化问题。

In order to solve the problem of element failure caused by antenna damage,and improve the performance of sidelobe level increasing and beamwidth broadening,an improved invasive weed optimization algorithm is proposed by changing fitness calculation.The algorithm can speed up the running time of the program and improve the efficiency of the algorithm.The improved invasive weed optimization algorithm was used to optimize the 32 elements array antennas with-40 dB side lobe level after randomly missing 4 elements to restore the sidelobe level in the radiation pattern.In order to verify the application of the algorithm in actual engineering,the measured data collected by the 16-element antenna were calibrated and optimized.Numerical results demonstrate that the algorithm can effectively reduce the deterioration of the pattern.