ID 原文 译文
22445 最重要的是，该文方案进行解密时，只需要 3 个双线性对操作和 2 个指数操作，解密成本为常数，实现了更快更高效的数据解密。 In addition, the most important thing is that the proposed decryption needs only three bilinear pairing computations and two exponent computations, which improves the efficiency extremely.
22446 最后基于合数阶双线性群下的 3 个静态假设对方案进行了安全性证明，并进行了性能分析与实验验证。 Finally, the full security proof of the proposed scheme is given by using three static assumptions along with the detailed performance analysis and experiment validation.
22447 该文针对现有动态帧时隙 ALOHA 标签防碰撞算法的系统吞吐率低、算法效率低等问题，提出一种可并行识别的分组动态帧时隙 ALOHA(PIGDFSA)标签防碰撞算法。 In order to solve the problem of low throughput rate and efficiency of the current dynamic frame slot ALOHA collision algorithms, a grouped dynamic frame slotted ALOHA tag anti-collision algorithm based on Parallelizable identification (PIGDFSA) is proposed.
22448 该文以实验为基础，探索了待识别标签数、标签分组数、帧长对系统吞吐率与标签碰撞率的影响，研究了提升系统吞吐率与降低标签碰撞率的策略与方法。 Based on the experiments, the method and strategy of increasing the system throughput rate and lowering the tag collision rate are presented by exploring effects of the number of the tags and its groups, the frame length on the system throughout and tag collision rate.
22449 结合射频识别(RFID)的多天线系统，引入 FastICA 技术，从而实现碰撞时隙重新定义，并以此为基础，利用未识别标签数目自适应确定分组数与帧长。 Combining the multi-antenna of the RFID system and FastICA technology, the collision slot can be redefined, and the number of the unrecognized tags can be used to set the number of groups and frame length adaptively.
22450 仿真结果表明：PIGDFSA 算法在标签数达到 2000 时，算法吞吐率仍能稳定在 92%以上，与 FSA-256, GDFSA, BSDBG 等算法相比具有更高的算法吞吐率，更少的空隙时隙，更高的算法效率。 The simulation results show that the PIGDFSA algorithm can stabilize the throughput rate more than 92% when the number of tags reaches 2000, and it has higher throughput rate, lesser idle slot and higher algorithm efficiency compared with the FSA-256, GDFSA, and BSDBG algorithm.
22451 鉴于卡尔曼滤波器(KF)具有优良的信号估计性能，将 KF 与贪婪算法相结合，该文给出稀疏约束下的基于 KF 的空间目标逆合成孔径雷达(ISAR)成像方法。 In view of the excellent signal estimation performance of the Kalman Filter (KF), combining the KF algorithm with the greedy algorithm and an imaging method is presented for Inverse Synthetic Aperture Radar (ISAR) using KF with sparse constraints.
22452 考虑到有些空间目标尺寸较大或包含大尺寸部件，或成像积累时间较长，会引入越分辨单元走动(MTRC)和方位向 2 次相位调制，首先对回波进行 MTRC 校正，然后构建包含 2 次相位的观测矩阵，通过使图像锐度最大化，估计目标转动角速度，获得聚焦目标图像，并将估计转速用于方位向图像定标。 Large space targets including the targets having large-size components and long imaging time may introduce the Migration Through Resolution Cell (MTRC) and quadratic phase modulation in the cross-range. The MTRC correction is firstly performed. Then, the observation matrix is constructed by including the quadratic phase term. By maximizing the image sharpness, an estimation of the target angular velocity as well as a well-focused image can be obtained. The estimated angular velocity can be further  used  for  image  cross-range  scaling.
22453 卫星仿真 ISAR 数据处理验证了上述成像处理方法的有效性。 The  processing  of  the  simulated  satellite  ISAR  data  verifies  the effectiveness of the presented imaging processing method.
22454 成像效果优于传统距离多普勒(RD)和正交匹配追踪(OMP)方法。 The image quality is superior to the traditional Range Doppler (RD) method and Orthogonal Matching Pursuit (OMP) method.