MIDAR: Massive MIMO based Detection and Ranging

doi:10.1109/GLOCOM.2018.8647986

	MIDAR: Massive MIMO based Detection and Ranging
	Zhang, Xiaoyu; Zhu, Hanyu; Luo, Xiliang
	2018
会议录名称	2018 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM)
发表状态	已发表
DOI	10.1109/GLOCOM.2018.8647986
摘要	Massive multiple-input multiple-output (MIMO) can increase the spectral efficiency. Besides, it can provide accurate localization. In some applications, e.g. autonomous driving, user behavior such as velocity and moving direction needs to be detected in addition to the position. In this paper, we propose Massive MIMO based Detection and Ranging (MIDAR) to offer a solution for joint localization and behavior recognition based on the power spectrum in multiple domains. An angle-delay-Doppler power spectrum (ADD-PS) is extracted from a mass of channel state information (CSI) as the fingerprint of a particular position with a certain behavior. By matching this fingerprint to a big data set of pre-collected reference points, we can obtain improved localization performance and detect the user behavior at the same time. In order to take full advantage of the geometrical structure of the multi-dimensional ADD-PS, algorithms in tensor analysis are considered and a chordal distance based kernel (CDBK) method is exploited for the large-scale fingerprint matching. Numerical results corroborate the feasibility of MIDAR for joint localization and behavior recognition and demonstrate that the CDBK approach outperforms conventional matching schemes for massive MIMO based localization.
关键词	Massive MIMO localization behavior recognition fingerprint matching power spectrum wireless big data
出版地	345 E 47TH ST, NEW YORK, NY 10017 USA
会议地点	Abu Dhabi, United Arab Emirates
会议日期	9-13 Dec. 2018
URL	查看原文
收录类别	EI ; CPCI-S ; CPCI
语种	英语
WOS研究方向	Engineering ; Telecommunications
WOS类目	Engineering, Electrical & Electronic ; Telecommunications
WOS记录号	WOS:000465774305042
出版者	IEEE
EI入藏号	20191306708697
EI主题词	Behavioral research ; Big data ; Channel state information ; Communication channels (information theory) ; MIMO systems ; Pattern matching ; Power spectrum
EI分类号	Information Theory and Signal Processing:716.1 ; Data Processing and Image Processing:723.2 ; Computer Applications:723.5 ; Social Sciences:971
WOS关键词	LOCALIZATION ; KERNEL
原始文献类型	Proceedings Paper
引用统计
文献类型	会议论文
条目标识符	https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/29704
专题	信息科学与技术学院_博士生信息科学与技术学院_PI研究组_罗喜良组信息科学与技术学院_硕士生
通讯作者	Zhang, Xiaoyu
作者单位	ShanghaiTech Univ, Sch Informat Sci & Technol, Shanghai, Peoples R China
第一作者单位	信息科学与技术学院
通讯作者单位	信息科学与技术学院
第一作者的第一单位	信息科学与技术学院
推荐引用方式 GB/T 7714	Zhang, Xiaoyu,Zhu, Hanyu,Luo, Xiliang. MIDAR: Massive MIMO based Detection and Ranging[C]. 345 E 47TH ST, NEW YORK, NY 10017 USA:IEEE,2018.