ID 原文 译文
17965 首先结合用户特征和内容特征计算内容当前价值，然后通过用户社交关系计算未来价值。 Firstly, the current value of content is calculated by combining user features and content features, and then future value is calculated through user social relationships.
17966 微基站根据内容的价值为用户提供个性化内容缓存服务，宏基站则在每个微基站的缓存内容中选择价值较大部分的内容。 The small base station provides the user with a personalized content caching service according tothe value of the content, and the base station selects a content with a larger value in the individual cachecontent of each small base station as popular content.
17967 仿真结果表明，该文提出的缓存策略可以有效缓解基站流量，与其他方法相比降低时延约20%～40%。 Simulation results show that the caching strategy basedon the proposed method can alleviate the base station traffic effectively, and reduce the delay by about20%～40%.
17968 该文针对单通道合成孔径雷达(SAR)无法有效抑制调频斜率失配干扰的问题进行了深入的研究。 The problem that single-channel Synthetic Aperture Radar (SAR) can not effectively suppress FMslope mismatch jamming is studied in this paper.
17969 根据干扰频谱与真实回波频谱的差异，该文提出了一种基于频域匹配滤波处理的合成孔径雷达调频斜率失配干扰抑制方法。 According to the difference between the jamming spectrumand the real echo spectrum, a method for suppressing the mismatch jamming of SAR FM slope based onmatched filtering in the frequency domain is proposed.
17970 该方法在准确测得干扰调频斜率的基础上，首先利用干扰信号的空间稀疏性以及低信干比(SIR)的特点，对干扰位置进行稀疏超分辨估计以获得较为精确的干扰时延相位。 Based on the accurate measurement of the slope ofjamming FM, the sparse super-resolution estimation of the jamming position is carried out to obtain a moreaccurate phase of jamming delay by utilizing the sparsity of the jamming signal and the characteristics of lowSignal-to-Interference Ratio (SIR).
17971 然后通过获得的干扰调频斜率和时延相位重建干扰信号频谱，以此为基础设计正交匹配滤波器在频域实施干扰信号的抑制，并重建无失真场景图像。 Then, the spectrum of the interference signal is reconstructed by theobtained slope of interference frequency modulation and phase delay. Based on this, the orthogonal matchedfilter is designed to suppress the interference signal in the frequency domain and reconstruct the undistortedscene image.
17972 最后，计算机仿真实验验证了该文所提方法的有效性。 Finally, computer simulation experiments verify the effectiveness of the proposed method.
17973 针对非协作通信中多输入多输出(MIMO)信号的盲调制识别，该文提出一种基于独立分量分析(ICA)和特征提取的调制识别算法。 For blind modulation recognition of Multiple Input Multiple Output (MIMO) signals in non-cooperative communication, a modulation recognition method based on Independent Component Analysis(ICA) and feature extraction is proposed.
17974 根据空分复用MIMO系统各发送天线上信号的独立性，利用ICA算法从接收的混合信号中分离出发射信号。 According to the signal independence of each transmitting antenna inspace division multiplexing MIMO system, the ICA algorithm is used to separate the transmitting signal fromthe received mixed signal.