Underdetermined DOA Estimation for Wideband Signals via Focused Atomic Norm Minimization

被引:7
作者
Shi, Juan [1 ]
Zhang, Qunfei [1 ]
Tan, Weijie [2 ]
Mao, Linlin [3 ]
Huang, Lihuan [1 ]
Shi, Wentao [1 ]
机构
[1] Northwestern Polytech Univ, Sch Marine Sci & Technol, Xian 710072, Peoples R China
[2] Guizhou Univ, State Key Lab Publ Big Data, Guiyang 550025, Peoples R China
[3] Chinese Acad Sci, Inst Acoust, Beijing 100190, Peoples R China
基金
国家重点研发计划; 中国国家自然科学基金;
关键词
underwater acoustic signal processing; wideband signals; direction of arrival (DOA) estimation; nested array (NA); atomic norm minimization (ANM); information theory criteria; OF-ARRIVAL ESTIMATION; COVARIANCE; ARRAYS;
D O I
10.3390/e22030359
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
In underwater acoustic signal processing, direction of arrival (DOA) estimation can provide important information for target tracking and localization. To address underdetermined wideband signal processing in underwater passive detection system, this paper proposes a novel underdetermined wideband DOA estimation method equipped with the nested array (NA) using focused atomic norm minimization (ANM), where the signal source number detection is accomplished by information theory criteria. In the proposed DOA estimation method, especially, after vectoring the covariance matrix of each frequency bin, each corresponding obtained vector is focused into the predefined frequency bin by focused matrix. Then, the collected averaged vector is considered as virtual array model, whose steering vector exhibits the Vandermonde structure in terms of the obtained virtual array geometries. Further, the new covariance matrix is recovered based on ANM by semi-definite programming (SDP), which utilizes the information of the Toeplitz structure. Finally, the Root-MUSIC algorithm is applied to estimate the DOAs. Simulation results show that the proposed method outperforms other underdetermined DOA estimation methods based on information theory in term of higher estimation accuracy.
引用
收藏
页数:16
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