Performance Limits of Direct Wideband Coherent 3D Localization in Distributed Massive MIMO Systems

被引:4
|
作者
Vukmirovic, Nenad [1 ,2 ]
Eric, Miljko [1 ,3 ]
Djuric, Petar M. [4 ]
机构
[1] Univ Belgrade, Sch Elect Engn, Belgrade 11120, Serbia
[2] Univ Belgrade, Innovat Ctr Sch Elect Engn, Belgrade 11120, Serbia
[3] Vlatacom Inst, Belgrade 11070, Serbia
[4] SUNY Stony Brook, Dept Elect & Comp Engn, New York, NY 11794 USA
关键词
5G; wideband direct position estimation; distributed antenna array; Cramer-Rao bounds; mmWave; massive MIMO; 5G; SIGNALS;
D O I
10.3390/s21103401
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
We address the accuracy of wideband direct position estimation of a radio transmitter via a distributed antenna array in 5G cellular systems. Our derivations are based only on the presence of spatially coherent line-of-sight (LoS) signal components, which is a realistic assumption in small cells, especially in the mmWave range. The system model considers collocated time and phase synchronized receiving front-ends with antennas distributed in 3D space at known locations and connected to the front-ends via calibrated coaxial cables or analog radio-frequency-over-fiber links. Furthermore, the signal model assumes spherical wavefronts. We derive the Cramer-Rao bounds (CRBs) for two implementations of the system: with (a) known signals and (b) random Gaussian signals. The results show how the bounds depend on the carrier frequency, number of samples used for estimation, and signal-to-noise ratios. They also show that increasing the number of antennas (such as in massive MIMO systems) considerably improves the accuracy and lowers the signal-to-noise threshold for localization even for non-cooperative transmitters. Finally, our derivations show that the square roots of the bounds are two to three orders of magnitude below the carrier wavelength for realistic system parameters.
引用
收藏
页数:27
相关论文
共 50 条
  • [21] 3D position error bound for wideband localization systems with application to UAVs
    Facheris, Alberto
    Reggiani, Luca
    VEHICULAR COMMUNICATIONS, 2025, 53
  • [22] An ESPRIT-Based Approach for 2-D Localization of Incoherently Distributed Sources in Massive MIMO Systems
    Hu, Anzhong
    Lv, Tiejun
    Gao, Hui
    Zhang, Zhang
    Yang, Shaoshi
    IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING, 2014, 8 (05) : 996 - 1011
  • [23] Downlink Channel Estimation and Precoding for FDD 3D Massive MIMO/FD-MIMO Systems
    Almosa, Hayder
    Shafin, Rubayet
    Mosleh, Susanna
    Zhou, Zhou
    Li, Yi
    Zhang, Jianzhong
    Liu, Lingjia
    2017 26TH WIRELESS AND OPTICAL COMMUNICATION CONFERENCE (WOCC), 2017,
  • [24] 3D massive MIMO with massive connectivity for internet of things devices
    Younas, Talha
    Xing, Xuening
    Shen, Jin
    Tahir, Sohaib
    Mekonen, Muluneh
    Gao, Mingliang
    WIRELESS NETWORKS, 2023,
  • [25] Performance Analysis of Correlated Massive MIMO Systems With Spatially Distributed Users
    Biswas, Sudip
    Xue, Jiang
    Khan, Faheem A.
    Ratnarajah, Tharmalingam
    IEEE SYSTEMS JOURNAL, 2018, 12 (02): : 1850 - 1861
  • [26] Asymptotic Oscillator Tracking Performance Analysis for Distributed Massive MIMO Systems
    Brown, D. Richard, III
    Wang, Rui
    Dasgupta, Soura
    2014 48TH ANNUAL CONFERENCE ON INFORMATION SCIENCES AND SYSTEMS (CISS), 2014,
  • [27] Fundamental limits in 3D landmark localization
    Rohr, K
    INFORMATION PROCESSING IN MEDICAL IMAGING, PROCEEDINGS, 2005, 3565 : 286 - 298
  • [28] Performance of 3D Massive MIMO with Transceiver Impairments for K Composite Fading Channel
    Li, Haojin
    Zhang, Haijun
    Jiang, Chunxiao
    Nallanathan, Arumugam
    2019 IEEE/CIC INTERNATIONAL CONFERENCE ON COMMUNICATIONS IN CHINA (ICCC), 2019,
  • [29] A Novel 3D Beam Domain Channel Model for Massive MIMO Communication Systems
    Bian, Ji
    Wang, Cheng-Xiang
    Feng, Rui
    Liu, Yu
    Zhou, Wenqi
    Lai, Fan
    Gao, Xiqi
    IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2023, 22 (03) : 1618 - 1632
  • [30] Channel Correlation Based LOS/NLOS Identification for 3D Massive MIMO Systems
    Li J.-Y.
    Chang Y.-Y.
    Zeng T.-Y.
    Beijing Youdian Daxue Xuebao/Journal of Beijing University of Posts and Telecommunications, 2020, 43 (01): : 1 - 7