利用多通道联合稀疏重建的干涉逆合成孔径雷达三维成像算法

发布时间：2018-02-27 11:38

本文关键词： 干涉逆合成孔径雷达联合稀疏重建三维成像机动目标　出处：《西安交通大学学报》2014年12期 　论文类型：期刊论文

【摘要】：针对单通道超分辨成像算法重建的超分辨图像间散射点的位置出现偏差的问题,提出了一种利用多通道联合稀疏重建的干涉逆合成孔径雷达(MCJSR-InISAR)三维成像算法。首先利用联合包络对齐算法校正目标平动对应的包络时延,再利用联合自聚焦算法实现平动补偿的初相校正,对来自不同天线的回波信号的距离差进行补偿,然后利用MCJSR进行超分辨成像,同时利用快速傅里叶变换提高运算效率,最后利用水平及俯仰干涉相位信息实现机动目标的InISAR三维成像。MCJSR-InISAR算法具有更高的强散射中心重建精度,能够对通道间的相对相位信息进行有效的保持。实测数据表明,与单通道超分辨成像算法相比,MCJSR-InISAR算法成像结果的熵值降低了约0.17,且运算复杂度降低了O(105)。
[Abstract]:Aiming at the problem of deviation of scattering points between super-resolution images reconstructed by single-channel super-resolution imaging algorithm, In this paper, a 3D imaging algorithm for interferometric inverse synthetic aperture radar MCJSR-InISAR using multi-channel joint sparse reconstruction is proposed. Firstly, a joint envelope alignment algorithm is used to correct the envelope delay corresponding to target translation. Then the initial phase correction of translation compensation is realized by using the joint autofocus algorithm, the range difference of echo signal from different antennas is compensated, and the super-resolution imaging is carried out by using MCJSR, and the computational efficiency is improved by using fast Fourier transform. Finally, the InISAR 3-D imaging. MCJSR-InISAR algorithm of maneuvering target using horizontal and pitch interferometric phase information has higher reconstruction accuracy of strong scattering center, and can effectively preserve the relative phase information between channels. Compared with the single-channel super-resolution imaging algorithm, the entropy of MCJSR-InISAR algorithm is reduced by 0.17, and the computational complexity is reduced by 105U.
【作者单位】：西安电子科技大学雷达信号处理国家重点实验室;
【基金】：国家自然科学基金资助项目(61301280,61001211)
【分类号】：TN957.52

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