用遗传算法预测印制线路板远场辐射的近场数据采样方法

Investigation of Near Field Data Sampling Approaches for Far Field Radiation Prediction of PCBs by Genetic Algorithm

研究了在近场、远场转换中近场数据的采样技术,包括在何处取样与如何预处理数据。对于一块简单的印制线路板,由遗传算法找到最佳等效基本辐射器。通过矩量法仿真得到线路板不同观测面的近磁场幅度,然后预测了不同频率下的远场模式。

Near field data sampling techniques, including where to place observation points and how to pre-process the data, are investigated in respect to a near field-far field transformation. For a simple PCB, the optimum equivalent set of basic radiators is found through a genetic algorithm. The magnetic near field amplitudes for different observation surfaces of the PCB are obtained from method of moment simulations, and the far field patterns for different frequencies are predicted.