ID 原文 译文
24195 针对逆合成孔径雷达(ISAR)的干扰技术是雷达对抗领域的热点问题。 The problem of ISAR image jamming is the main stream in radar countermeasures study.
24196 该文提出一种基于多相位分段调制的干扰方法，对该调制方法的基本原理及其在信号脉内和脉间综合调制的过程进行详细分析，推导干扰信号在成像处理后的表达式，给出在 2 维上分别对干扰样式进行精确控制的参数设计方法，通过仿真验证相关干扰效果，说明应用该方法能够产生灵活可控的干扰样式和遮盖效果。 This paper proposes a new jamming technique for ISAR imaging based on Multiple Phase Sectionalized Modulation (MPSM) jamming method. Its basic principle and processing in intra-pulse and inter-pulse is analyzed in details. Then the final expression of MPSM jamming signal after ISAR imaging processing is derived, and the precise control method of jamming pattern by parameters design in double dimensions is provided. Simulation is conducted to prove the related jamming effects, and it is flexible and controllable to generate different jamming patterns and overspread effects by applying this new method.
24197 针对目前对二进制偏移载波(Binary Offset Carrier, BOC)及其衍生信号的通用无模糊捕获分析匮乏的问题，该文提出一种适用于所有 BOC 类型信号及所有调制阶数的无模糊捕获算法。 For the unambiguous general acquisition for Binary Offset Carrier (BOC) and its derivative signals is still scarce of analysis, a new unambiguous algorithm is proposed for all types of BOC signals and all kinds of modulation order.
24198 该算法首先根据不同调制信号副载波形之间的联系构建出了通用副载波模型，得到信号的通用表达式，然后在此基础上将副载波形按半周期进行分解，再根据相关函数的合成方法构建出通用的捕获方法。 Firstly, the common sub-carrier model is constructed according to the links of different sub-carrier modulation. Then according to the common sub-carrier model the general expression of the signals is got. On this base, the sub-carrier is broken down into many half periods. Last, a general capture method based on a combined correlation function is proposed.
24199 理论与仿真实验表明，新提出的捕获方法适用于所有类型及所有调制阶数的 BOC 信号，能够完全消除副峰，实现无模糊捕获，捕获精度以及抗多径性能相比其他算法都有很大提高。 Simulation results indicate that the proposed method can deal with all kinds of BOC modulated signals including complex ones with different phases or orders. An unambiguous correlated function can be obtained by the proposed method. The main peak width of correlated function is narrowed and the accuracy of capture is improved.
24200 考虑多波束卫星通信中存在多天线窃听用户的场景以及非理想信道状态信息带来的系统安全性能恶化，针对合法信道与窃听信道均不理想的多用户 MISOME(Multi Input, Single Output, Multi Eavesdropper)系统，该文基于两种类型的信道误差提出了两种鲁棒安全传输方法。 Considering a general eavesdropping case where the eavesdropper is equipped with multiple antennas and two uncertainty models for the imperfect Channel State Information (CSI) on the main and eavesdropper's channels at the transmitter. Two robust transmission methods are proposed for multiuser Multiple-In, Single-Out, Multiple-antenna Eavesdropper (MISOME) systems to provide SINR guarantee for the legitimate user by the optimization of beamforming and artificial noise covariance matrix.
24201 在确定误差模型下，利用发送波束成形以及人工噪声协方差的联合优化设计解决系统最差情况安全速率最大化问题(Worst-Case Secrecy Rate Maximization, WC-SRM)问题，通过推导分析将非凸的 WC-SRM 问题等价为一个 1 维搜索问题，而这个等价问题的最优解可通过一系列半定规划(SemiDefinite Program, SDP)问题的求解而得到。 For the deterministic uncertainty model, the Worst-Case Secrecy Rate Maximization (WC-SRM) problem is derived an equivalent problem of the WC-SRM problem through analysis. The equivalent problem can be recast as a single-variable optimization problem, which can be handled by solving a sequence of convex SemiDefinite Programs (SDPs).
24202 在统计误差模型下，为求解中断概率约束安全速率最大化(Outage Probability Constrained Secrecy Rate Maximization, OP-SRM)问题，该文提出一种基于 WC-SRM 的鲁棒安全设计的可靠近似方案。 For the stochastic uncertainty model, a suboptimal scheme to solve the Outage Probability constrained Secrecy Rate Maximization (OP-SRM) problem is proposed based on the robust design for the WC-SRM problem.
24203 仿真分析验证了该文所提方法的鲁棒性与有效性。 Finally, the effectiveness and the robustness of the proposed algorithms are validated by the simulation results.
24204 卷积神经网络在语音识别和图像识别等众多领域取得了突破性进展，限制其大规模应用的很重要的一个因素就是其计算复杂度，尤其是其中空域线性卷积的计算。 Convolution Neural Networks (CNN) make breakthrough progress in many areas recently, such as speech recognition and image recognition. A limiting factor for use of CNN in large-scale application is, until recently, their computational expense, especially the calculation of linear convolution in spatial domain.