通信学报2025，Vol.46Issue(8)：31-40,10.DOI:10.11959/j.issn.1000-436x.2025152
基于子张量重构的宽带信号DOA估计
DOA estimation of wideband signals based on sub-tensor reconstruction
摘要
Abstract
Concerning the issues of performance degradation in wideband direction-of-arrival(DOA)estimation algo-rithms under low signal-to-noise ratio and limited snapshot conditions,a sub-tensor reconstruction-based DOA estima-tion algorithm was proposed.Initially,the original tensor was decomposed into multiple sub-tensors along both horizon-tal and vertical axes through tensor partitioning,which were then reassembled into a higher-dimensional tensor structure.Subsequently,an optimized three-dimensional tensor was reconstructed via tensor dimension merging.A nuclear norm-based low-rank tensor completion algorithm was employed to efficiently recover the reconstructed tensor.Finally,DOA estimation was achieved through tensor decomposition for signal subspace extraction.Simulation and experimental re-sults demonstrate that,compared to existing algorithms,the proposed algorithm achieves significantly superior root mean square error performance under low signal-to-noise ratio conditions,while maintaining stable estimation perfor-mance even with snapshot numbers as low as 20,proving the algorithm's excellent noise resistance and snapshot robust-ness.关键词
波达方向估计/宽带信号/张量重构/张量补全Key words
direction of arrival estimation/wideband signal/tensor reconstruction/tensor completion分类
信息技术与安全科学引用本文复制引用
韦娟,陈茂楠,宁方立..基于子张量重构的宽带信号DOA估计[J].通信学报,2025,46(8):31-40,10.基金项目
国家自然科学基金资助项目(No.52475132) （No.52475132）
陕西省重点研发计划基金资助项目(No.2024GX-ZDCYL-01-16) （No.2024GX-ZDCYL-01-16）
航空科学基金资助项目(No.20200015053001) （No.20200015053001）
2023西安市重点产业链技术攻关基金资助项目(No.23ZDCYJSGG0006-2023)The National Natural Science Foundation of China(No.52475132),The Key Research and Development Pro-gram of Shannxi Province(No.2024GX-ZDCYL-01-16),Aeronautical Science Foundation of China(No.20200015053001),2023 Xi'an Key Industrial Chain Technology Research Project(No.23ZDCYJSGG0006-2023) （No.23ZDCYJSGG0006-2023）
