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在太赫兹天线测量中,相位的获取往往很困难,导致基于幅值和相位信息的天线诊断技术难以实施,针对这一问题,本文研究了一种基于迭代傅里叶变换算法的近场天线无相位诊断方法,首先,采集天线近区两平行平面上的切向场的幅值信息,其次,使用迭代傅里叶变换算法对扫描点位置的相位进行还原,最后,使用口径场反演技术求得天线口径面场分布,并与标准口径场分布进行比较,确定故障单元位置.仿真实验表明,该测量方案可以有效确定故障单元位置.由于移除了相位测量模块,使得测量系统结构得以简化、诊断成本降低.
In the measurement of terahertz antenna, the phase acquisition is often difficult, resulting in the antenna diagnosis technology based on amplitude and phase information is difficult to implement. To solve this problem, this paper studies a near-field antenna based on iterative Fourier transform algorithm Firstly, the amplitude information of the tangential field in two parallel planes of the antenna is collected. Secondly, the phase of the scanning point is restored by the iterative Fourier transform algorithm. Finally, the calculus field inversion technique is used The antenna surface field distribution is obtained and compared with the standard aperture field distribution to determine the location of the fault cell.The simulation results show that the measurement scheme can effectively determine the location of the fault cell.Because the phase measurement module is removed and the measurement system structure is simplified, Diagnostic costs are reduced.