首页> 外文会议>2018 52nd Asilomar Conference on Signals, Systems, and Computers >Beam-based Device Positioning in mmWave 5G Systems under Orientation Uncertainties
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Beam-based Device Positioning in mmWave 5G Systems under Orientation Uncertainties

机译:定向不确定性下mmWave 5G系统中基于波束的设备定位

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High-accuracy positioning based on angles from multiple base-stations (BSs) requires precise knowledge of the BSs' orientation. Installation errors are bound to occur in practice, and any mismatch between the actual and assumed orientation of the BSs on a given coordinate system leads to systematic errors in the position estimates. In this paper, we consider a system in which BSs transmit reference-signals (RSs) by means of static beams. The directions of such transmissions are known up to an error that is common to all beams for each BS. Different BSs have independent orientation errors. Users determine the reference-signal-received-power (RSRP) of such directional transmissions by employing receive beams. This is termed beam-RSRP (BRSRP) measurements, and they are reported to the network by the users. We propose an algorithm that jointly estimates the 3D positions of users and the orientation errors of the BSs from reported BRSRP measurements. The proposed algorithm is also applicable to the case of a single moving user. The performance of the proposed solution is assessed on a realistic mmW 5G outdoor deployment simulator at 39 GHz and based on ray-tracing propagation modeling. Results show that for a minimum of three BSs in line-of-sight (LoS) to the user, and an orientation uncertainty in azimuth angle of φ ≤ 3°, sub-meter positioning accuracy is achieved in 90% of locations. Such orientation uncertainty is estimated with an accuracy of 0.5° in 98% of locations.
机译:基于来自多个基站(BS)的角度的高精度定位需要精确了解BS的方向。安装误差在实践中一定会发生,并且在给定坐标系上BS的实际方位与假定方位之间的任何不匹配都会导致位置估计中的系统误差。在本文中,我们考虑一个系统,其中BS通过静态波束传输参考信号(RS)。已知这种传输的方向,直到每个BS的所有波束共有的误差为止。不同的BS具有独立的定向误差。用户通过采用接收波束来确定这种定向传输的参考信号接收功率(RSRP)。这称为波束RSRP(BRSRP)测量,它们由用户报告给网络。我们提出了一种算法,可以根据报告的BRSRP测量值共同估算用户的3D位置和BS的方向误差。所提出的算法也适用于单个移动用户的情况。建议的解决方案的性能是在39 GHz的实际mmW 5G户外部署仿真器上并基于光线跟踪传播建模进行评估的。结果表明,对于用户而言,至少有三个BS的视线(LoS)和方位角φ≤3°的方位不确定性,可以在90%的位置实现亚米的定位精度。在98%的位置中估计的定位不确定度为0.5°。

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