Position estimation with a millimeter-wave massive MIMO system based on distributed steerable phased antenna arrays.

IF 1.7 4区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Eurasip Journal on Advances in Signal Processing Pub Date : 2018-01-01 Epub Date: 2018-06-05 DOI:10.1186/s13634-018-0553-9
Nenad Vukmirović, Miloš Janjić, Petar M Djurić, Miljko Erić
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引用次数: 14

Abstract

In this paper, we propose a massive MIMO (multiple-input-multiple-output) architecture with distributed steerable phased antenna subarrays for position estimation in the mmWave range. We also propose localization algorithms and a multistage/multiresolution search strategy that resolve the problem of high side lobes, which is inherent in spatially coherent localization. The proposed system is intended for use in line-of-sight indoor environments. Time synchronization between the transmitter and the receiving system is not required, and the algorithms can also be applied to a multiuser scenario. The simulation results for the line-of-sight-only and specular multipath scenarios show that the localization error is only a small fraction of the carrier wavelength and that it can be achieved under reasonable system parameters including signal-to-noise ratios, antenna number/placement, and subarray apertures. The proposed concept has the potential of significantly improving the capacity and spectral/energy efficiency of future mmWave massive MIMO systems.

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基于分布式可控相控阵的毫米波海量MIMO系统位置估计。
在本文中,我们提出了一种大规模的多输入多输出(MIMO)架构,采用分布式可控制相控天线子阵列进行毫米波范围内的位置估计。我们还提出了定位算法和多阶段/多分辨率搜索策略,以解决空间相干定位中固有的高侧瓣问题。所提出的系统旨在用于视线室内环境。发送系统和接收系统之间不需要时间同步,并且该算法也可以应用于多用户场景。仅视距和镜面多径场景的仿真结果表明,定位误差仅为载波波长的一小部分,并且在合理的系统参数(信噪比、天线数量/放置位置和子阵列孔径)下可以实现定位误差。提出的概念具有显著提高未来毫米波大规模MIMO系统的容量和频谱/能量效率的潜力。
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来源期刊
Eurasip Journal on Advances in Signal Processing
Eurasip Journal on Advances in Signal Processing ENGINEERING, ELECTRICAL & ELECTRONIC-
CiteScore
3.40
自引率
10.50%
发文量
109
审稿时长
3-8 weeks
期刊介绍: The aim of the EURASIP Journal on Advances in Signal Processing is to highlight the theoretical and practical aspects of signal processing in new and emerging technologies. The journal is directed as much at the practicing engineer as at the academic researcher. Authors of articles with novel contributions to the theory and/or practice of signal processing are welcome to submit their articles for consideration.
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