ID 原文 译文
23235 平动补偿后对回波局部分段并采用调频率傅里叶稀疏分解来估计局部微多普勒调频参数，有效利用了多频点回波的结构稀疏性，联合多频点稀疏分解提高算法稳健性； After the translation compensation process, the multi-frequency echo are segmented and used to estimate the micro-motion characteristics with the Chirp sparse decomposition algorithm. While the sparseness of multi-frequency echo are effectively utilized, and the joint multi-frequency estimation improves the robustness of the algorithm.
23236 最后，拼接主频段信号各分段估计结果得到目标的微动曲线。 Finally, target's micro-motion curve are obtained by stitching the segments' estimation results.
23237 电磁仿真数据验证了算法的有效性和稳健性，可用于弹道目标的微动分析、多目标识别等任务。 The validity and robustness of the algorithm are verified by electromagnetic simulation data and can be applied to time-frequency analysis and recognition of ballistic target.
23238 密集异构蜂窝网络节点布置的随机性、动态性、复杂性等特点，导致实际场景中该系统的安全性能受非理想信道估计的影响更严重，然而目前对该系统安全性能的研究主要集中于理想场景，缺乏在非理想场景中的研究。 Due to the characteristics of random, dynamic, and complex arrangement of dense heterogeneous cellular network nodes, the secrecy performance of the system is more seriously affected by the non-ideal channel estimation in the actual communication scenario. However, the research on the secrecy performance analysis of the dense heterogeneous cellular network mainly focuses on the ideal scene, but never involves non-ideal scene.
23239 针对这一问题，该文从密集异构蜂窝网自身结构及实际部署的特点出发，分析了信道估计存在误差时系统的安全性能。 To solve this problem, this paper considers the characteristics and actual deployment of the system，and analyzes the secrecy performance of the system when there exist channel estimation errors.
23240 首先基于随机几何对系统建模，推导了非理想情况下 K 层密集异构蜂窝网的安全中断概率； First, based on stochastic geometry, the security outage probability of K-tier dense heterogeneous cellular networks is deduced.
23241 然后分析了部分参数对系统安全性能的影响； Then the influence of partial parameters on system security performance is analyzed.
23242 最后，通过仿真验证了理论推导的有效性。 Finally, the validity of theoretical derivation is verified by simulation.
23243 针对导弹防御系统中的目标识别问题，该文研究弹道中段目标的 2 维几何特征反演方法。 This paper focuses on Two-Dimensional (2D) geometric feature inversion method of midcourse targets, serving for the target recognition problem of ballistic missile defense system.
23244 基于中段目标的特殊物理结构，分析了进动锥体目标在雷达径向投影尺寸的变化规律，建立了中段目标 2 维几何特征与其径向尺寸序列的映射关系，进而提出一种基于 HRRPs 的 2 维几何特征反演方法，能够稳定反演出中段进动目标在不同姿态下的 2 维几何特征。 Based on the figuration characteristic of midcourse targets, the regular pattern of radial dimension is analyzed with respect to different intervals, the mapping relationships between HRRP under various target attitudes and the 2D geometric feature of target are established, then an 2D geometric feature inversion method for midcourse targets based on HRRPs is proposed accordingly.