Angle-Domain Channel and DOA Estimation in Airborne Massive MIMO System with Eavesdropper

Ming Zhang, Chengjian Liao, Kui Xu, Wei Xie, Jianhui Xu, Lihua Chen
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引用次数: 2

Abstract

In this paper, we consider a hybrid air-terrestrial network secure transmission scenario, where a low-altitude air platform (AP) equipped with a two-dimensional (2D) rectangular antenna array serves a set of legitimate users (LUs). A single-antenna vehicle eavesdropper is within the courage of the AP, and the eavesdropper sends jamming signals in the uplink training and transmission phase and eavesdrops on LUs signals in the downlink transmission phase. During the training phase, a angle-domain (AD) channel estimation scheme is proposed. The active beam sets (ABS) of the interference channel and the LU channels can be separately extracted by comparing the beam gain vectors from different LUs. The pilot contamination can be eliminated and the channel state information (CSI) of LUs can be purified. By using spatial basis expansion model (BEM), full-dimension CSI of LUs and ED can be obtained, based on which the digital domain angle alignment method is designed to locate the ED. The superiority of the proposed scheme is evaluated by simulations.
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带窃听器的机载海量MIMO系统角域信道和DOA估计
在本文中,我们考虑了一种混合空-地网络安全传输场景,其中配备二维(2D)矩形天线阵列的低空空中平台(AP)为一组合法用户(lu)提供服务。单天线车载窃听器在AP的范围内,窃听器在上行训练和传输阶段发出干扰信号,在下行传输阶段对lu信号进行窃听。在训练阶段,提出了一种角域信道估计方案。通过比较不同路单元的波束增益矢量,可以分别提取干涉通道和路单元的有源波束集(ABS)。该方法可以消除导频污染,并纯化lu的通道状态信息(CSI)。利用空间基展开模型(BEM),得到目标单元和目标单元的全维CSI,在此基础上设计了数字域角对准方法对目标单元进行定位,并通过仿真验证了该方法的优越性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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