A GNSS/5G Integrated Positioning Methodology in D2D Communication Networks

A GNSS/5G Integrated Positioning Methodology in D2D Communication Networks
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DOI:
10.1109/jsac.2018.2804223
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发表时间:
2018-02-01
影响因子:
16.4
通讯作者:
Deng, Zhongliang
Deng, Zhongliang
中科院分区:
计算机科学1区
文献类型:
--
作者:
Yin, Lu;Ni, Qiang;Deng, Zhongliang

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全球卫星导航系统(GNSS)由于卫星信号非常微弱,不适合在人口密集的城市或室内环境中使用。同时,定位是第五代(5G)通信系统的重要应用。随着5G标准的发展,GNSS/5G集成定位系统成为一个有前景的研究课题。本文重点研究了5G通信系统中GNSS和设备对设备(D2D)测量的集成方法。分析了这类集成系统的特点,提出了一种消耗较少通信资源的高效D2D定位测量协议——交叉多路测距。然后,针对集成系统中的高维状态空间,提出了一种状态降维方法,克服了用于GNSS和5G D2D测量融合的粒子滤波的粒子退化问题。提出了三种不同场景下的综合算法:第一种是可直接测量距离时的综合算法。二是各移动终端时间偏差和偏移量未知的综合算法。三是在城市和室内应用中普遍存在的gnss拒绝环境下的集成算法。仿真和实验结果表明,本文提出的集成方法优于非集成方法。
Global navigation satellite system (GNSS) is not suitable for the dense urban or indoor environments as the satellite signals are very weak. Meanwhile, positioning is an important application of the fifth-generation (5G) communication system. GNSS/5G integrated positioning system becomes a promising research topic with the development of 5G standard. This paper focuses on the integrated methodology of GNSS and device to device (D2D) measurements in 5G communication system. We analyze the characteristics of this type of integrated system and propose a high-efficiency D2D positioning measure protocol, named crossover multiple-way ranging, which consumes less communication resources. Then, to deal with the high-dimensional state space in the integrated system, a state dimension reduction method is proposed to overcome the particle degeneracy problem of particle filter which is used to fusion GNSS and 5G D2D measurements. Three integrated algorithms in different scenarios have been proposed: the first one is the integrated algorithm when the range measurements can be measured directly. The second one is the integrated algorithm with unknown time skew and offset of each mobile terminal. The third one is the integrated algorithm in GNSS-denied environment which is prevalent in urban and indoor applications. The simulation and experimental results show that our proposed integrated methodology outperforms the nonintegrated one.