采用遗传算法由电流环的近场测试识别辐射源

Source Identification from Near Field Measurements of Loops Using Genetic Algorithm

针对电大尺寸的电流环,通过遗传算法找到最佳等效基本辐射器。采用EMSCAN电磁干扰扫描系统进行电流环的近磁场测试,从而作出远场预测,并与仿真结果和半电波暗室的测试数据相比较。

For an electrically large current loop, the optimum equivalent set of basic radiators is found through a Genetic Algorithm. The magnetic near field data of the loops are measured by EMSCAN, and the far field prediction is compared with simulation results and measurements in a Semi-Anechoic Chamber.