基于位置的5G综合LEO卫星通信时序预估

Wenjin Wang, Tingting Chen, Rui Ding, G. Seco-Granados, Li You, Xiqi Gao
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引用次数: 23

摘要

卫星-地面综合通信网络旨在同时利用卫星和地面移动通信,从而提供真正的无所不在的覆盖。对于5G综合低地球轨道卫星通信(SatCom)系统,为了便于不同用户之间的上行帧对齐,需要在通信初始随机接入过程中对时序提前(TA)进行估计。然而,由于LEO卫星通信系统固有的特点,现有的5G地面上行TA方案并不适用于卫星网络。在本文中,我们研究了5G集成LEO卫星通信系统中基于位置的TA估计。我们提出利用卫星在不同时刻在下行时序和频率同步阶段获得的到达时间差(TDOA)和到达频率差(FDOA)测量值进行地理位置估计。然后将位置估计表述为二次优化问题。我们提出了一种基于迭代执行二次等式约束线性化过程的近似方法来解决这一问题。数值结果表明,该方法能有效地保证典型低轨卫星通信系统中不同用户间的上行帧对准。
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Location-Based Timing Advance Estimation for 5G Integrated LEO Satellite Communications
Integrated satellite-terrestrial communications networks aim to exploit both the satellite and the ground mobile communications and thus provide genuine ubiquitous coverage. For 5G integrated low earth orbit (LEO) satellite communication (SatCom) systems, the timing advance (TA) is required to be estimated in the initial random access procedure of communications in order to facilitate the uplink frame alignment among different users. However, due to the inherent characteristics of LEO SatCom systems, the existing 5G terrestrial uplink TA scheme is not applicable in the satellite networks. In this paper, we investigate location-based TA estimation for 5G integrated LEO SatCom systems. We propose to take the time difference of arrival (TDOA) and frequency difference of arrival (FDOA) measurements obtained in the downlink timing and frequency synchronization phase for geographical location estimation, which are made from the satellite at different time instants. The location estimation is then formulated as a quadratic optimization problem. We propose an approximation method based on iteratively performing a linearization procedure on the quadratic equality constraints to solve this problem. Numerical results show that the proposed method can effectively assure uplink frame alignment among different users in typical LEO SatCom systems.
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