3D Imaging Algorithm for Down-Looking MIMO Array SAR Based on Bayesian Compressive Sensing
3D Imaging Algorithm for Down-Looking MIMO Array SAR Based on Bayesian Compressive Sensing
复制标题
基于贝叶斯压缩感知的下视MIMO阵列SAR 3D成像算法
DOI：
10.1155/2014/612326
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发表时间：
2014-01-01
影响因子：
1.5
通讯作者：
Yang, Jing
中科院分区：
文献类型：
--
作者：
Ren, Xiaozhen;Chen, Lina;Yang, Jing
下视MIMO阵列SAR可以在SAR平台下方重建观测区域的3D图像，具有广泛的应用前景。本文提出了一种基于贝叶斯压缩感知理论的下视MIMO阵列SAR成像新策略，将下视MIMO阵列SAR的跨轨成像过程转化为从噪声测量中重构稀疏信号的问题。由于考虑了测量过程中遇到的加性噪声，可以获得高质量的图像。仿真结果表明，与传统方法相比，所提出的方法可以提供更好的分辨率和更低的旁瓣。
Down-looking MIMO array SAR can reconstruct 3D images of the observed area in the inferior of the platform of the SAR and has wide application prospects. In this paper, a new strategy based on Bayesian compressive sensing theory is proposed for down-looking MIMO array SAR imaging, which transforms the cross-track imaging process of down-looking MIMO array SAR into the problem of sparse signal reconstruction from noisy measurements. Due to account for additive noise encountered in the measurement process, high quality image can be achieved. Simulation results indicate that the proposed method can provide better resolution and lower sidelobes compared to the conventional method.