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DOA Estimation of Quasi-Stationary Signals Based on a Separated Generalized Nested Array  ( EI收录)  

文献类型:期刊文献

英文题名:DOA Estimation of Quasi-Stationary Signals Based on a Separated Generalized Nested Array

作者:Zhao, Jing Liu, Sheng Wu, Decheng Zeng, Cheng

第一作者:Zhao, Jing

通信作者:Liu, S[1]

机构:[1]Tongren Univ, Sch Data Sci, Tongren, Peoples R China;[2]Chongqing Univ Posts & Telecommun, Sch Automat, Chongqing, Peoples R China;[3]Guizhou Inst Technol, Sch Sci, Guiyang, Peoples R China

第一机构:Tongren Univ, Sch Data Sci, Tongren, Peoples R China

通信机构:corresponding author), Tongren Univ, Sch Data Sci, Tongren, Peoples R China.

年份:2024

卷号:118

起止页码:9-14

外文期刊名:PROGRESS IN ELECTROMAGNETICS RESEARCH LETTERS

收录:EI(收录号:20240815616007);Scopus(收录号:2-s2.0-85185441743);WOS:【ESCI(收录号:WOS:001162640300001)】;

基金:This work was supported by the National Natural Science Foundation of China (62261047, 62163008) , the Science and Technology Foundation of Guizhou Province of China (ZK [2022] 557, [2020] 1Y004) , Guizhou Provincial Department of Education College Teaching Content and Curriculum Reform Project (2021310) and the Tongren Science and Technology Planning Project ( [2022] 59) .

语种:英文

摘要:This paper proposes a sparse array consisting of two separate generalized nested arrays. The unit element -spacing of each generalized nested array can be adjusted to multiple half -wavelengths of the incident signal. By adjusting the element -spacing, the mutual coupling effect can be greatly reduced. For this array, a direction of arrival (DOA) estimation method of quasi -stationary signals has also been proposed. By using the received signals of the separated generalized nested array, a signal subspace is obtained. Then, this subspace is filled into a higher -order signal subspace to avoid angle ambiguity. Using the higher -order signal subspace, DOAs of all signals can be estimated by spectral peak search. Simulation results show that the proposed separated generalized nested array has better performance than the conventional nested array in DOA estimation.

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