阵列雷达的分层介质目标频域匹配滤波成像算法

为了对平面分层介质目标的内部结构实现高分辨三维（Three-Dimensional,3D）成像，提出了一种基于频域匹配滤波（Frequency-Domain Matched Filter,FDMF）的快速成像算法。该算法应用了毫米波单发单收（SingleInput Single-Output,SISO）阵列雷达体制，利用电磁波在平面分层介质间传播时电磁波的切向分量将保持连续这一规律，将SISO平面阵列雷达单个阵元的时域回波数据变换至频域后，化简雷达回波模型，最后将阵列的空域回波数据变换至波数域并作相位补偿及累加求和运算实现介质内部的图像重构。与同样适用于该应用场景的改进后向投影（Improved Back Projection,IBP）算法相比，所提算法避免了电磁波在介质分界面上折射点的计算，有效降低了计算复杂度；与相移偏移（Phase Shift Migration,PSM）算法相比，所提算法仍具有一定的效率优势；数值仿真和实验结果验证了所提算法的有效性。

Frequency-Domain Matched Filter Imaging Algorithm for Layered Medium Targets with Array Radar System

? ?In order to realize high-resolution Three-Dimensional （3D） imaging of the internal structure in planar layered media targets， a fast-imaging algorithm based on Frequency-Domain Matched Filter （FDMF） is proposed. The proposed algorithm applies millimeter wave （MMW） Single-Input-Single-Output （SISO） array radar system， using the law that the tangential component of electromagnetic （EM） wave will remain continuous when EM wave propagates between planar layered medium， after transforming the time-domain echo data of each element of the SISO array radar to frequency domain， the radar echo model is simplified. And then transforming the simplified array radar echo from spatial domain to wavenumber domain， and using phase compensation and cumulative summation to realize image. Compared with the improved backward projection （IBP） algorithm which is also suitable for this application， the proposed algorithm can avoid the calculation of refraction points to reduce the computational complexity. Compared with phase shift migration （PSM） algorithm， the proposed algorithm still has some efficiency advantages. The numerical simulation and imaging experimental results show that， the FDMF algorithm can significantly shorten the imaging time on the premise of obtaining the same imaging effect as IBP algorithm.