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Secret Key Generation Based on AoA Estimation for Low SNR Conditions

机译:低信噪比条件下基于AoA估计的密钥生成

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摘要

In the context of physical layer security, a physical layer characteristic is used as a common source of randomness to generate the secret key. Therefore an accurate estimation of this characteristic is the core for reliable secret key generation. Estimation of almost all the existing physical layer characteristic suffer dramatically at low signal to noise (SNR) levels. In this paper, we propose a novel secret key generation algorithm that is based on the estimated angle of arrival (AoA) between the two legitimate nodes. Our algorithm has an outstanding performance at very low SNR levels. Our algorithm can exploit either the Azimuth AoA to generate the secret key or both the Azimuth and Elevation angles to generate the secret key. Exploiting a second common source of randomness adds an extra degree of freedom to the performance of our algorithm. We compare the performance of our algorithm to the algorithm that uses the most commonly used characteristics of the physical layer which are channel amplitude and phase. We show that our algorithm has a very low bit mismatch rate (BMR) at very low SNR when both channel amplitude and phase based algorithm fail to achieve an acceptable BMR
机译:在物理层安全性的上下文中,物理层特性用作生成密钥的随机性的常见来源。因此,对该特性的准确估计是可靠密钥生成的核心。在低信噪比(SNR)级别下,几乎所有现有物理层特性的估计都会遭受严重影响。在本文中,我们提出了一种新颖的秘密密钥生成算法,该算法基于两个合法节点之间的估计到达角(AoA)。我们的算法在非常低的SNR水平下具有出色的性能。我们的算法可以利用方位角AoA生成密钥,也可以利用方位角和仰角生成密钥。利用第二个常见的随机性源为我们算法的性能增加了额外的自由度。我们将算法的性能与使用物理层最常用的特性(即通道幅度和相位)的算法进行比较。我们表明,当基于通道幅度和相位的算法均无法获得可接受的BMR时,我们的算法在非常低的SNR时具有非常低的位失配率(BMR)

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