ID 原文 译文
20385 在空频结构下，对各子带权值进行波束赋形优化。根据权值在满足共轭对称条件下，阵列幅度响应可以转换为线性函数这一原理，将波束赋形转换为凸优化问题。 Making use of the property that the magnitude response can be translated into linear function under the condition of conjugate symmetric weights, the beampattern synthesis problem is transformed into the convex optimization problem.
20386 利用内点法得到最优权值后，通过空频结构与空时结构之间的权值转换关系，得到空时结构下的波束权值。 The weights of space-time structure can be obtained by utilizing the principle ofrelationship between the two structures, after the weights of space-frequency structure is calculated by theinterior point method.
20387 该算法能够对宽带波束图进行精确地赋形，同时保证在期望方向上阵列响应具有线性相位特性。 The proposed method can realize the wideband beampattern synthesis accurately,meanwhile ensuring the linear phase characteristic of the array response.
20388 仿真结果验证了算法的有效性。 Simulation results demonstrate theeffectiveness of the proposed method.
20389 硬件木马检测已成为当前芯片安全领域的研究热点， Hardware Trojan horse detection has become a hot research topic in the field of chip security.
20390 现有检测算法大多面向ASIC电路和FPGA电路，且依赖于未感染硬件木马的黄金芯片，难以适应于由大规模可重构单元组成的粗粒度可重构阵列电路。 Most existing detection algorithms are oriented to ASIC circuits and FPGA circuits, and rely on golden chips that are not infected with hardware Trojan horses, which are difficult to adapt to the coarse-grained reconfigurable array consisting of large-scale reconfigurable cells.
20391 因此，该文针对粗粒度可重构密码阵列的结构特点，提出基于分区和多变体逻辑指纹的硬件木马检测算法。 Therefore, aiming at the structural characteristics of Coarse-grained reconfigurable cryptographic logical arrays, a hardware Trojan horse detection algorithm based onpartitioned and multiple variants logic fingerprints is proposed.
20392 该算法将电路划分为多个区域，采用逻辑指纹特征作为区域的标识符，通过在时空两个维度上比较分区的多变体逻辑指纹，实现了无黄金芯片的硬件木马检测和诊断。 The algorithm divides the circuit into multiple regions, adopts the logical fingerprint feature as the identifier of the region, and realizes the hardware Trojan detection and diagnosis without golden chip by comparing the multiple variant logic fingerprints of the regionsin both dimensions of space and time.
20393 实验结果表明，所提检测算法对硬件木马检测有较高的检测成功率和较低的误判率。 Experimental results show that the proposed detection algorithm hashigh detection success rate and low misjudgment rate for hardware Trojan detection.
20394 全球卫星导航系统(GNSS)导航信号的波形特性将会影响导航信号质量，而信号质量优劣则直接决定了整个GNSS的服务性能极限。 The waveform characteristics of the navigation signals of Global Navigation Satellite Systems(GNSSs) will be of vital importance for signal quality, which plays an imperative and direct role in achieving high performance of GNSS services.