| 稀疏重航过阵列SAR运动误差补偿和三维成像方法 |
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| 引用本文： | 田鹤,李道京. 稀疏重航过阵列SAR运动误差补偿和三维成像方法[J]. 雷达学报, 2018, 7(6): 717-729. DOI: 10.12000/JR18101 |
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| 作者姓名： | 田鹤 李道京 |
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| 基金项目： | 国家自然科学基金(61271422)，第五届高分辨率对地观测学术年会青年创新基金 |
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| 摘 要： | 该文针对机载交轨阵列SAR下视3维成像模型，采用以巴克码伪随机序列为准则的稀疏重航过采样方式，利用较少飞行次数提高交轨向分辨率。针对重航过采样方式存在的运动误差，利用修正均匀冗余阵列(Modified Uniformly Redundant Arrays, MURA)编码空间调制和3维后向投影(Back Projection, BP)算法获得各航过3维复图像对，基于干涉处理和频域压缩感知(Compressed Sensing, CS)等效实现各航过阵列形变误差补偿。将MURA反码对应回波形成的3维复图像相位作为参考，对各单航过复图像进行相位补偿，以恢复各航过间复图像相位关系。根据单航过阵列SAR3维复图像具备频域稀疏的性质，对各个复图像相干累加，实现稀疏重航过阵列SAR高分辨率下视3维成像。仿真和暗室试验数据处理结果验证了方法的有效性。
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| 关 键 词： | SAR 3维成像 稀疏重航过 干涉处理 频域稀疏 压缩感知 运动误差补偿 |
| 收稿时间： | 2018-11-27 |
Motion Compensation and 3-D Imaging Algorithm in Sparse Flight Based Airborne Array SAR |
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| Tian He,Li Daojing. Motion Compensation and 3-D Imaging Algorithm in Sparse Flight Based Airborne Array SAR[J]. Journal of Radars, 2018, 7(6): 717-729. DOI: 10.12000/JR18101 |
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| Authors: | Tian He Li Daojing |
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| Affiliation: | ①.Science and Technology on Electromagnetic Scattering Laboratory , Beijing Institute of Environmental Features, Beijing 100854, China②.Science and Technology on Microwave Imaging Laboratory, Institute of Electronics, Chinese Academy of Sciences, Beijing 100190 , China |
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| Abstract: | In this study, we adopt a criterion of Barker code to generate a high-resolution image from sparse flight samples to establish a three-dimensional (3-D) imaging model of airborne array SAR. Under the condition of motion error, we utilize the Modified Uniformly Redundant Arrays (MURA) modulation and 3-D Back Projection (BP) algorithm to obtain 3-D complex image pairs under each flight. Based on interferometry and Compressed Sensing (CS) in frequency domain, the array deformation error compensation is realized. The phases of 3-D complex image formed by the echo corresponding to negative MURA modulation are referred to perform phase compensation on each single-pass complex image to restore the image phase relation of each flight. Coherent accumulation of each complex image is implemented to realize high-resolution 3-D imaging under sparse flight sampling. Simulation analysis and experimental data verify the feasibility of the proposed method. |
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