穿墙雷达多视角建筑布局成像

穿墙雷达成像主要包括建筑物的建筑布局成像和内部隐蔽目标成像，其中，建筑布局成像形成的建筑物墙体图像作为参照物能够确定隐蔽目标在建筑物内的相对位置，进而辅助内部隐蔽目标成像实现墙体穿透相位补偿和多径杂波抑制。该文提出了一种多视角建筑布局成像算法，针对多个视角的合成孔径探测回波，首先采用后向投影成像算法形成多幅包含部分墙体图像的单视角建筑布局图像；然后采用M-N-K检测器融合多幅单视角建筑布局图像，形成一幅包含全部墙体图像的二值化建筑布局全景图像；最后，采用中值滤波和Hough变换抑制墙体图像的空洞残缺和边缘毛刺，形成相对整齐的建筑布局全景图像。XFDTD仿真数据和穿墙雷达实验数据验证了算法的正确性和可行性。

Through-wall-radar Multi-view Imaging for Architectural Layout of Building

Through-wall-radar imaging is performed to image the architectural layout imaging and hidden target of building. Wall images formed through the architectural layout imaging are considered as the reference to define the relative position of the hidden target in building, which further contributes to implement wall phase compensation and multi-path suppression. In this paper, a multi-view imaging approach for the architectural layout is proposed. Firstly, multiple single-view layout images with the part of wall images are formed from multi-view synthetic aperture echoes through back-projection imaging algorithm. Then based on M-N-K detector, these single-view images are fused to one binary layout image with all wall images. Finally, median filter and Hough transformation are adopted to reduce the cavities and burrs in wall images to generate the near-tidy panorama image of architectural layout. XFDTD simulation and through-wall-radar experiment data validate the correctness and feasibility of the proposed approach.