| 摘要: |
| 针对超宽带MIMO穿墙雷达建筑物布局成像中墙体位置偏移以及稀疏阵列引起的旁瓣和栅瓣问题，利用方位向上距离向轮廓在主瓣周围相似而在旁瓣/栅瓣周围不同的特性，提出一种基于方位向互相干因子加权的建筑物布局成像方法。首先计算方位向互相干因子，加权消除图像的旁瓣/栅瓣；然后结合Hough变换检测墙体位置并计算未知墙体的厚度，分别按墙体位置和墙体厚度划分子图像和补偿时延，获得墙体位置校正后的子图像；最后融合子图像得到最终的建筑物布局成像。仿真实验和实测数据处理结果表明，该方法在抑制旁瓣/栅瓣的同时也校正了墙体位置并实现聚焦成像。 |
| 关键词: MIMO稀疏阵列 旁瓣/栅瓣 方位向互相干因子 墙体补偿 |
| DOI：10.3969/j.issn.1672-2337.2018.02.004 |
| 分类号:TN957.52 |
| 基金项目:国家自然科学基金(No. 61461012)； 广西自然科学基金（No.2017GXNSFAA198050）； 广西无线宽带通信与信号处理重点实验室2016主任基金项目(No.GXKL06160106) |
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| Building Layout Imaging Based on Cross Coherence Factor |
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TANG Qian, JIN Liangnian, LIU Qinghua
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School of Information and Communication, Guilin University of Electronic Technology, Guilin 541004, China
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| Abstract: |
| As for the wall position deviation and sidelobe and grating lobe caused by sparse arrays in the ultrawideband MIMO through-wall radar building layout imaging, this paper puts forward a kind of building layout imaging based on cross coherence factor weighting by using the features that range profiles are similar around the main lobe but different around the sidelobe/grating lobe. First of all, the cross coherence factor is calculated and the imaging sidelobe/grating lobe is eliminated through weighting. And then, by combining with Hough transform, the position of the wall is detected and the thickness of unknown wall is calculated. The sub-images are divided according to the wall position and thickness respectively and the sub-images after correction of wall position through time delay compensation are obtained. The final building layout image is obtained by fusing the sub-images. The results show that the proposed method can suppress sidelobe and grating lobe, correct the wall position, and realize focusing imaging. |
| Key words: MIMO sparse array sidelobe/grating lobe cross correlation factor wall compensation |
