Interferometry Based Integrated Sensing and Communications with Imperfect Synchronizations
Interferometry Based Integrated Sensing and Communications with Imperfect Synchronizations
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DOI：
10.1109/globecom46510.2021.9685228
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发表时间：
2021-12
期刊：
影响因子：
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通讯作者：
T. Guo;A. B. Mackenzie;Husheng Li
中科院分区：
文献类型：
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作者：
T. Guo;A. B. Mackenzie;Husheng Li
干涉测量是一种强大的工具，可通过计算不同天线接收信号的相关性来估计电磁 (EM) 波的入射角。受射电天文学中超长基线干涉测量（VLBI）的推动，提出了一种基于干涉测量的传感方案，即集成传感与通信（ISAC）。与无源雷达类似，它重复使用来自基站（BS）的通信信号，从而提高了传感精度和频谱效率。与原子钟实现的VLBI中几乎完美的同步不同，蜂窝通信网络的BS中的同步（通常基于GPS信号）可能存在显着误差。因此，提出了补偿时间和频率同步误差的算法。数值模拟表明所提出的算法可以显着减轻同步误差。
Interferometry is a powerful tool for estimating the incident angle of electromagnetic (EM) waves by calculating the correlation of received signals at different antennas. Motivated by very-long-baseline interfereometry (VLBI) in radio astronomy, an interferometry based sensing scheme is proposed as integrated sensing and communications (ISAC). It reuses the communication signal from base stations (BSs), similarly to passive radars, which improves the sensing precision and spectrum efficiency. Different from the almost-perfect synchronization in VLBI realized by atomic clocks, the synchronization in BSs of cellular commu-nication networks (usually based on GPS signals) could have significant errors. Therefore, algorithms for compensating for synchronization errors in both time and frequency are proposed. Numerical simulations demonstrate that the proposed algorithms can substantially alleviate the synchronization errors.