ID | 原文 | 译文 |
40156 | 随后分类梳理了辐射源数据集,最后分析了辐射源识别未来可能的发展趋势。 | Emitter data sets are categorized. This review ends up with possible future development trends in emitter identification. |
40157 | 无人机毫米波通信技术结合无人机和毫米波的优势,提供高速数据传输和广域网络覆盖能力,在军用通信系统中拥有广阔的应用前景。 | Combining the advantages of unmanned aerial vehicle(UAV) and millimeter-wave technologies, the UAV millimeter-wave(mmWave)communication system can provide high-speed data transmission and wide network coverage capability, which leads to a broad application prospect in military communication systems. |
40158 | 精确的信道模型是无人机毫米波系统设计和性能评估的重要理论基础。 | The accurate channel model is vital for the UAV mmWave communication system design and performance evaluation. |
40159 | 不同于传统移动通信场景,无人机通信信道具有明显的三维传播特征, | Different from the conventional mobile communication scenarios, the UAV mmWave communication scenario has obvious three-dimensional propagation characteristics. |
40160 | 构建模型需要考虑包括三维散射空间、三维飞行轨迹及姿态、三维阵列天线和三维窄波束等多种因素。 | The key factors, i. e., three-dimensional scattering space, three-dimensional flight trajectory and posture, three-dimensional array antenna and three-dimensional narrow beam, should be taken into account in the channel modeling. |
40161 | 本文首先总结了无人机毫米波信道建模的新需求和挑战,并详细阐述了无线信道建模方法以及现有信道模型的研究进展, | This paper summarizes the new requirements and challenges of UAV mmWave channel modeling, and then reviews the wireless channel modeling method and the research progress of channel models. |
40162 | 最后给出了信道建模的发展方向及关键技术,旨在为无人机毫米波信道模型的科学构建和标准化等研究提供参考。 | Finally, the future development of UAV mmWave channel modeling and key technologies are given, which aims to provide reference for the scientific construction and standardization of UAV mmWave channel models. |
40163 | 针对迭代软阈值投影算法中的软阈值函数收缩功能较差的问题,提出了迭代p阈值投影算法。 | Aiming at the problem of poor shrinkage of the soft thresholding function in the projected iterative soft thresholding algorithm, a projected iterative p-thresholding algorithm is proposed. |
40164 | 用p阈值函数替换迭代软阈值投影算法中的软阈值函数,对小系数的惩罚更大,对大系数产生更小的偏置,以抑制噪声,减少重建误差。 | It replaces the soft thresholding function in the projected iterative soft thresholding algorithm with p-thresholding function, which will bring greater penalty for small coefficients and produce smaller bias for large coefficients to suppress the noise and reduce reconstruction errors. |
40165 | 为加快算法速度,利用Nesterov梯度加速技术,设计了快速迭代p阈值投影算法,用于磁共振图像重建。 | To speed up the algorithm, using the Nesterov gradient acceleration technology, a projected fast iterative p-thresholding algorithm is designed for magnetic resonance image reconstruction. |