Massive MIMO for High-Accuracy Target Localization and Tracking

Xiaolu Zeng*, Feng Zhang, Beibei Wang, K. J.Ray Liu

*此作品的通讯作者

科研成果: 书/报告/会议事项章节章节同行评审

20 引用 (Scopus)
Plum Print visual indicator of research metrics
  • Citations
    • Citation Indexes: 20
  • Captures
    • Readers: 13
see details

摘要

High-accuracy target localization and tracking have been widely used in the modern navigation system. However, most of the methods such as global positioning system (GPS) are highly dependent on time measurement accuracy, which prevents them from achieving high accuracy in practice. Time reversal (TR)-based technique has been shown to be able to achieve centimeter accuracy localization by fully utilizing the focusing effect brought by the massive multipaths naturally existing in a rich scattering environment such as indoor scenarios. By investigating a similar statistical property, this article develops a novel high-accuracy target localization method by using massive MIMO to provide massive signal components. We first observe that the statistical autocorrelation of the received energy physically focuses into a beam around the receiver exhibiting a sinc-like distribution in the far-field scenario. By leveraging such a distribution of the focusing beam, an effective way to estimate the relative moving speed of the target with respect to a single base station is proposed. We also obtain the absolute moving speed and subsequently track the target accurately by associating the speed estimation results and geometrical relationship of multiple stations. The theoretical analysis on the error in the speed and localization estimation validated by numerical simulation results show that the proposed system can achieve decimeter accuracy for target localization and tracking.

源语言英语
主期刊名IEEE Internet of Things Journal
出版商Institute of Electrical and Electronics Engineers Inc.
10131-10145
页数15
8
版本12
ISBN(电子版)9781728176055
DOI
出版状态已出版 - 15 6月 2021
已对外发布

指纹

探究 'Massive MIMO for High-Accuracy Target Localization and Tracking' 的科研主题。它们共同构成独一无二的指纹。

引用此

Zeng, X., Zhang, F., Wang, B., & Liu, K. J. R. (2021). Massive MIMO for High-Accuracy Target Localization and Tracking. 在 IEEE Internet of Things Journal (12 编辑, 卷 8, 页码 10131-10145). 文章 9319173 Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/JIOT.2021.3050720