ID 原文 译文
19805 然后对Lowe鉴权性质进行形式化描述，利用TAMARIN证明器分析协议中安全锚点密钥KSEAF的Lowe鉴权性质、完美前向保密性、机密性等安全目标，发现了3GPP隐式鉴权方式下的4条攻击路径。 Then Lowe authentication property is formally modeled. Using the TAMARIN prover, objectives of the security anchor key KSEAF areanalyzed, such as Lowe’s taxonomy, perfect forward secrecy, confidentiality, etc. Four attack paths under3GPP implicit authentication mode are discovered.
19806 最后针对发现的安全问题提出2种改进方案并验证其有效性，并将5G网络两种鉴权协议EAP-AKA 和5G AKA的安全性进行了对比，发现前者在Lowe鉴权性质方面更安全。 Two improved schemes are proposed for the discovered security problems and their security is verified. Finally, the security of the two authentication protocols EAP-AKA’ and 5G AKA of the 5G network is compared, and it is found that the former is safer in terms of Loweauthentication property.
19807 针对基于互质阵列的欠定DOA估计方法对于虚拟阵元非连续部分利用率不高的问题，该文提出一种基于Toeplitz协方差矩阵重构的DOA估计方法。 In order to improve the utilization of non-contiguous virtual array elements in the underdeterminedDOA estimation of the coprime array, a DOA estimation method based on Toeplitz covariance matrix reconstruction is proposed.
19808 首先，从互质阵列差联合阵的角度分析虚拟阵元分布特性，结合其与协方差矩阵中各元素得到的波程差存在对应关系，将协方差矩阵进行扩展得到一个数据缺失的高维协方差矩阵； First, the virtual array element distribution characteristics of the matrix areanalyzed from the perspective of the difference coarray. Additionally, according to the correspondence between the difference coarray and the wave path difference, the covariance matrix is extended to a Toeplitz array covariance matrix, of which some elements are zero.
19809 然后，根据矩阵填充理论，用迹范数代替秩范数进行松弛，对缺失元素进行填充； Then, the Toeplitz matrix is recovered to the fullcovariance matrix according to the low rank matrix completion theory.
19810 最后，利用现有root-MUSIC方法进行DOA估计。 Finally, the root-MUSIC method isemployed for the DOA estimation.
19811 理论分析和仿真结果表明，该方法提升了虚拟阵元的利用率，从而增加了虚拟孔径和可估计信号数，同时无需对角度域进行离散化处理，有效消除了模型失配的影响，并且避免了正则化参数选取问题，提高了估计精度和分辨率。 Theoretical analysis and simulation results show that this method can increase the number of the resolvable signals by increasing the number of virtual array elements, eliminate the effect of the off-grid effect without discretization of the angle domain, and avoid regularization parameter selection. Therefore, the estimation accuracy and resolution are improved.
19812 高频地波雷达(HFSWR)利用电磁波绕射原理进行目标探测，具有超视距的特性。 High Frequency Surface Wave Radar (HFSWR) utilizes electromagnetic wave diffracting along theearth to detect targets over the horizon.
19813 然而，探测距离的增加会使得雷达目标回波能量减弱，进而使得雷达探测能力下降。 However, the increase of target distance decreases the received echoenergy, and this degrades the detection capability.
19814 为了改善高频地波雷达的探测性能，该文提出了一种基于信息几何理论的局域联合矩阵恒虚警率(CFAR)检测器，利用信号在角度、多普勒速度和距离的多维信息进行检测；并使用对数行列式散度(LDD)和对称对数行列式散度(SLDD)代替黎曼距离(RD)作为距离度量。 A joint domain matrix Constant False Alarm Rate (CFAR)detector is proposed to improve the detection performance. It employs the multi-dimensional information ofsignal in azimuth, Doppler velocity and range domain to detect target, and Log-Determinant Divergence (LDD)and Symmetrized Log-Determinant Divergence (SLDD) are used to replace the Riemannian Distance (RD) asthe measure of distance.