Ruan Ningjun, Wang Han, Wen Fangqing, Shi Junpeng
School of Electronic and Information, Yangtze University, Jingzhou 434023, China.
College of Computer and Information Technology, China Three Gorges University, Yichang 443002, China.
Sensors (Basel). 2022 Jul 8;22(14):5125. doi: 10.3390/s22145125.
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.
到达方向（DOA）估计是通信、定位和传感的初步阶段。因此，它是下一代无线通信（即超5G（B5G）或6G通信网络）的一项典型任务。大规模多输入多输出（MIMO）和毫米波（mmW）频段都是新兴技术，可用于提高一个区域的频谱效率，人们对它们在下一代无线通信方面寄予了诸多期望。同时，它们也给DOA估计带来了新的挑战，例如，通过超大规模阵列数据、远场和近场源的共存、互耦效应以及复杂的时空信号采样。本文讨论了与B5G/6G通信网络的DOA估计相关的各种未解决问题。此外，还提供了对当前进展的一些见解，包括阵列、模型、采样和算法。最后，阐述了DOA估计未来发展工作的方向。
Zotero 插件
