| 基于鲁棒主成分分析的多域联合杂波抑制算法 |
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| 引用本文： | 李相平,王明泽,但波,李蔚,马俊伟.基于鲁棒主成分分析的多域联合杂波抑制算法[J].电子与信息学报,2022,44(4):1303-1310. |
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| 作者姓名： | 李相平 王明泽 但波 李蔚 马俊伟 |
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| 作者单位： | 1.海军航空大学岸防兵学院 烟台 2640012.海军航空大学航空作战勤务学院 烟台 2640013.海军航空大学航空保障专业兵训练基地 青岛 266109 |
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| 摘 要： | 奇异值分解等传统算法在处理穿墙成像中的杂波抑制问题时,杂波消除不够彻底,目标成像质量不高,严重影响后续的目标检测与识别.为解决这一问题,该文基于鲁棒主成分分析理论,在回波域和图像域分别建立联合低秩稀疏模型,以光滑化快速交替线性化(SFAL)方法来求解模型,并对目标图像进行指数加权联乘多域图像融合处理,从而得到最终成像结...
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| 关 键 词： | 穿墙成像雷达 杂波抑制 鲁棒主成分分析 联合低秩稀疏模型 多域联合 |
| 收稿时间： | 2021-07-06 |
The Multi-domain Union Clutter Suppression Algorithm Based on Robust Principal Component Analysis |
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| LI Xiangping,WANG Mingze,DAN Bo,LI Wei,MA Junwei.The Multi-domain Union Clutter Suppression Algorithm Based on Robust Principal Component Analysis[J].Journal of Electronics & Information Technology,2022,44(4):1303-1310. |
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| Authors: | LI Xiangping WANG Mingze DAN Bo LI Wei MA Junwei |
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| Affiliation: | 1.Coast Guard College, Naval Aviation University, Yantai 264001, China2.Air Combat Service College, Naval Aviation University, Yantai 264001, China3.Aviation Support Professional Training Base, Naval Aviation University, Qingdao 266109, China |
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| Abstract: | In through-the-wall imaging, the clutter can not be eliminated completely through traditional algorithms, and affects seriously the subsequent target detection and recognition. To solve the problem, based on robust principal component analysis theory, a joint low-rank and sparse model is established in echo and image domain respectively. The models are solved by Smoothing Fast Alternating Linearization (SFAL) method. Then, the target images are dealt with exponentially weighted multiply multi-domain image fusion to obtain the final image. The simulation results indicate that the algorithm has great speed and accuracy with effective improvement on imaging quality of targets. |
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