ID 原文 译文
14425 随着民用无人机的普及,无人机"黑飞"事件频频发生,给公共安全带来极大隐患。 With the popularization of unmanned aerial vehicles( UAVs) ,the illegal incident of UAV happens frequently,which brings a significant threat to public security.
14426 为了实现对"黑飞"无人机的有效监管,通过提取遥控信号指纹特征对无人机识别是一种有效的方法。 In order to achieve effective supervision for illegal UAV,it is an effective method to extract fingerprint features of remote control signals for UAV identification.
14427 基于民用小型无人机遥控信号通常采用跳频通信这一特性,通过分形贝叶斯变点检测算法对实测无人机遥控信号的瞬态起始点进行检测,并提取信号瞬态部分所含有的指纹特征,由主成分分析法进行特征降维,最后采用多分类支持向量算法对该信号进行分类及识别。 Based on the characteristic that frequency hopping communication is usually used in the remote control signal of civil small UAV,this paper uses fractal Bayesian change point detection algorithm to detect the transient starting point of the measured UAV remote control signal, and extracts the fingerprint features contained in the transient part of the signal. The feature dimension is reduced by principal compo- nent analysis( PCA). Finally,the multi-classification support vector machine( SVM) algorithm is used to classify the signal.
14428 实验结果表明,采用射频指纹法能够完成无人机型号的区分以及同一型号无人机的区分。 The experimental results show that the radio frequency distinct native attribute( RF- DNA) method can be used to distinguish the UAV model and even the same type UAV.
14429 针对长序列互相关定时同步性能受频偏影响的问题,提出了一种分段频偏补偿的定时同步算法。 To solve the problem that the timing synchronization performance of long sequence cross-correlation is affected by frequency offset,a timing synchronization algorithm of segment cross-correlation with frequency offset compensation is proposed.
14430 该算法在分段互相关的基础上,使用频偏补偿替代传统的绝对值操作,在减少载波频偏对同步峰值影响的同时不增加噪声均值。 Based on segment cross-correlation, the algorithm uses frequency offset compensation instead of the traditional absolute value operation , which can reduce the effect of carrier frequency offset on the synchronous peak without increasing the mean noise a lot.
14431 理论分析和仿真结果表明,改进方法定时同步性能优于传统分段方法,适用于低信噪比大频偏的无线通信系统。 Theoretical analysis and simulation results show that the improved method has better timing synchronization performance than the traditional segmentation method and is suitable for wireless communication systems with low signal- to - noise ratio and large frequency offset.
14432 为有效解决传统推荐算法精度低的问题,提出了一种融合用户偏好和社交活跃度的概率矩阵分解推荐算法(Probabilistic Matrix Factorization Recommendation Algorithm Combining User Preference and Social Activity, UPSA-PMF),通过用户评分数据计算用户间的偏好信任度时,使用了共同项目平衡因子和热门项目惩罚因子进行改进; To effectively solve the problem of poor accuracy of traditional recommendation algorithm, a probabilistic matrix factorization recommendation algorithm combining user preference and social activity(UPSA-PMF) is proposed. When calculating the preference trust between users through user rating data. the common item balance factor and the popular item penalty factor are used for improvement.
14433 计算社交网络中的信任度时,考虑了社交活跃度与用户信任度的关系,并将社交活跃度作为惩罚因子,修正用户信任度。 When calculating the trust in social networks,the relationship between social activity and user trust is considered, and social activity is used as a penalty factor to modify user trust.
14434 将偏好信任度和社交网络中的信任度以动态组合的方式得到最终的信任度,将最终的信任度与概率矩阵模型相结合,实现推荐。 The preference trust dearee and the trust degree in the social network are dynamically combined to obtain the final trust degree.