CAJ | 학술논문

焦平面阵列成像体制是实现无源毫米波实时成像的主要途径.焦平面体制存在馈源偏焦的问题,导致成像系统的点扩展函数(PSF)具有空变特性.为研究毫米波焦平面阵列成像点扩展函数的空变规律,提出采用BP神经网络生成偏焦位置的空变方向图.通过分析天线方向图数据的特点,研究了BP神经网络的结构形式和输入输出数据格式的设计方法,并通过实验方法确定了网络的隐层形式.实验结果表明,采用双隐层BP神经网络生成的方向图可以达到99.75%的精度.
초평면진렬성상체제시실현무원호미파실시성상적주요도경.초평면체제존재궤원편초적문제,도치성상계통적점확전함수(PSF)구유공변특성.위연구호미파초평면진렬성상점확전함수적공변규률,제출채용BP신경망락생성편초위치적공변방향도.통과분석천선방향도수거적특점,연구료BP신경망락적결구형식화수입수출수거격식적설계방법,병통과실험방법학정료망락적은층형식.실험결과표명,채용쌍은층BP신경망락생성적방향도가이체도99.75%적정도.
Focus plane array has been widely used in real-time Passive millimeter wave (PMMW) imaging. But its antenna pattern nonhomogeneity because of feed lateral displacement results in space variance of point spread function (PSF) in PMMW image. In order to study the complicated space-variant law of PSF, an approach is proposed to generate antenna patterns of offset feeds by back propagation (BP) neural network. By analyzing the characteristics of data of antenna pattern, the structure with its input/output data formats of the BP network are discussed. Experimental results demonstrate that the antenna pattern generated by the neural network with double hidden layers exhibits a precision no less than 99.75%.