Digital beamforming in elevation for spaceborne HRWS SAR based on sparse DOA estimation
Digital beamforming in elevation for spaceborne HRWS SAR based on sparse DOA estimation
复制标题
基于稀疏DOA估计的星载HRWS SAR高程数字波束成形
DOI：
10.1080/2150704x.2017.1280198
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发表时间：
2017-01
影响因子：
2.3
通讯作者：
Chen Guozhong
中科院分区：
文献类型：
--
作者：
Yang Taoli;Wang Yong;Chen Guozhong
摘要提出了一种星载高分辨率宽测绘带合成孔径雷达（SAR）仰角方向的数字波束形成（DBF）算法。根据成像几何学，研究了多仰角通道SAR系统的广义信号模型。信道接收到的信号被视为来自不同的到达方向（DOA）角。然后，将DBF的关键步骤转化为DOA估计。考虑到接收信号在空间域的稀疏性，采用基于稀疏的DOA估计算法。在获得DOA角后，得到DBF的加权向量。与传统算法相比，该算法对快拍数没有要求，对信噪比具有更强的鲁棒性。最后，通过仿真验证了该算法的有效性.
ABSTRACT A digital beamforming (DBF) algorithm in elevation for spaceborne high-resolution and wide-swath synthetic aperture radar (SAR) systems is presented. According to the imaging geometry, a generalized signal model for SAR systems of multiple elevation channels is studied. The signals received by the channels are regarded as that coming from different direction-of-arrive (DOA) angles. Then, the key procedure for DBF is transformed to DOA estimation. Considering the sparsity of the received signals in spatial domain, the sparse-based DOA estimation algorithm is adopted. After obtaining the DOA angles, the weighted vector for DBF is achieved. Compared to the conventional algorithms, the proposed algorithm has no requirement for the number of snapshots and is more robust to signal-to-noise ratio. Finally, the effectiveness of the proposed algorithm is confirmed in simulations.
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影响因子：
5.4
作者：
Malioutov, D;Çetin, M;Willsky, AS
通讯作者：
Willsky, AS
用于多维波形编码 SAR 感测的高程接收数字波束成形
影响因子：
4.8
作者：
He Feng;Dong Zhen;Liang Diannong
通讯作者：
Liang Diannong
影响因子：
8.2
作者：
Shuang-xi Zhang;M. Xing;X. Xia;Lei Zhang;Rui Guo;Y. Liao;Z. Bao
通讯作者：
Shuang-xi Zhang;M. Xing;X. Xia;Lei Zhang;Rui Guo;Y. Liao;Z. Bao
影响因子：
3.4
作者：
Zhenfang Li;Z. Bao
通讯作者：
Zhenfang Li;Z. Bao
DOI：
10.1109/igarss.2013.6723302
发表时间：
2013-07
期刊：
2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS
影响因子：
--
作者：
Y. Kankaku;S. Suzuki;Y. Osawa
通讯作者：
Y. Kankaku;S. Suzuki;Y. Osawa