| 稀疏阵列波达方向估计研究进展 |
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| 作者姓名： | 刘振 苏晓龙 师俊朋 户盼鹤 刘天鹏 黎湘 |
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| 作者单位： | 国防科技大学电子科学学院，湖南长沙 410073;国防科技大学电子对抗学院，安徽合肥 230037 |
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| 基金项目： | 国家自然科学基金资助项目(62201588, 62022091, 62071476, 61921001)；中国博士后科学基金资助项目(2021T140788, 2020M683728)；湖湘青年科技创新人才项目(2020RC2041, 2021RC3079)；国防科技大学科研计划项目(ZK20-33, ZK21-14) |
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| 摘 要： | 波达方向(direction of arrival, DOA)估计是阵列信号处理领域的重要研究方向，也是电子侦察与电子攻击领域的关键技术之一。以提高DOA估计精度和降低计算复杂度为导向，结合模型驱动和数据驱动方法的各自优势，提出了基于深度展开网络的DOA估计统一框架，阐述了稀疏阵列离网格DOA估计、无网格DOA估计以及混合信号参数估计等方面的研究进展。对复杂信号模型下的DOA估计、深度展开网络性能分析与挖掘以及分布式稀疏阵列回波信号融合处理等后续的研究内容进行了展望。
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| 关 键 词： | 稀疏阵列 DOA估计 深度展开网络 稀疏重构 混合信号 |
| 收稿时间： | 2023/4/20 0:00:00 |
| 修稿时间： | 2023/6/8 0:00:00 |
Research progress on DOA estimation via sparse array |
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| Authors: | LIU Zhen SU Xiaolong SHI Junpeng HU Panhe LIU Tianpeng LI Xiang |
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| Institution: | College of Electronic Science and Technology, National University of Defense Technology, Changsha 410073 , China;College of Electronic Engineering, National University of Defense Technology, Hefei 230037 , China |
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| Abstract: | Direction of arrival (DOA) estimation is an important research topic of array signal processing, which is also one of the key technologies in the field of electronic reconnaissance and electronic attack. In order to improve the accuracy for DOA estimation and reduce computational complexity, this paper presented a unified framework of DOA estimation with deep unfolding networks, which combines the advantages of model driven approaches and data driven approaches. Moreover, this paper introduced the research progress of off-grid DOA estimation, gridless DOA estimation and mixed signal parameter estimation with sparse arrays. Finally, the following research ideas were prospected from the aspects of the DOA estimation under complex signal models, the performance analysis and mining of deep unfolding network, and the echo signal fusion processing of distributed sparse array. |
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