DOA Estimation in B5G/6G: Trends and Challenges

被引:16
|
作者
Ruan, Ningjun [1 ,2 ]
Wang, Han [3 ]
Wen, Fangqing [2 ,4 ]
Shi, Junpeng [5 ]
机构
[1] Yangtze Univ, Sch Elect & Informat, Jingzhou 434023, Peoples R China
[2] China Three Gorges Univ, Coll Comp & Informat Technol, Yichang 443002, Peoples R China
[3] Yichun Univ, Coll Phys Sci & Engn, Yichun 336000, Peoples R China
[4] China Three Gorges Univ, Hubei Key Lab Intelligent Vis Based Monitoring Hy, Yichang 443002, Peoples R China
[5] Natl Univ Def Technol, Coll Elect Countermeasure, Hefei 230037, Peoples R China
基金
中国国家自然科学基金;
关键词
DOA estimation; massive MIMO; array signal processing; OF-ARRIVAL ESTIMATION; NEAR-FIELD; ANTENNA-ARRAY; MIMO RADAR; LOCALIZATION; MUSIC; ALGORITHM;
D O I
10.3390/s22145125
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
Direction-of-arrival (DOA) estimation is the preliminary stage of communication, localization, and sensing. Hence, it is a canonical task for next-generation wireless communications, namely beyond 5G (B5G) or 6G communication networks. Both massive multiple-input multiple-output (MIMO) and millimeter wave (mmW) bands are emerging technologies that can be implemented to increase the spectral efficiency of an area, and a number of expectations have been placed on them for future-generation wireless communications. Meanwhile, they also create new challenges for DOA estimation, for instance, through extremely large-scale array data, the coexistence of far-field and near-field sources, mutual coupling effects, and complicated spatial-temporal signal sampling. This article discusses various open issues related to DOA estimation for B5G/6G communication networks. Moreover, some insights on current advances, including arrays, models, sampling, and algorithms, are provided. Finally, directions for future work on the development of DOA estimation are addressed.
引用
收藏
页数:14
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