ID 原文 译文
22235 之后提出基于像素模板的地图匹配方法获取地图的绝对位置，并采用抗差扩展卡尔曼滤波(EKF)对目标位置进行最优估计。 Then a pixel template matching technique is innovatively presented to obtain the absolute position of the map. Finally, the robust Extended Kalman Filter (EKF) algorithm is utilized to estimate the optimal target position, which means the Simultaneous Localization And Mapping (SLAM) are completed.
22236 实验结果表明，所提聚类方法可以准确构建各区域运动地图，在少量的人力时间开销下实现较高的定位精度。 The experimental results show that the method of proposed clustering can accurately distinguish the motion regions. Also, the precision positioning can be realized with less labor and time through matching the absolute position of the motion map in the real environment successfully.
22237 该文提出一种基于叠加标签信号进行认证的新方法。 This paper proposes a new method of authentication based on piling up tag signal.
22238 利用合法通信双方预先共享密钥和信道具有短时互易性的优势，在发送方利用扩谱码和量化的信道值生成标签信号，并与通信信号叠加发送，在接收方能够检测并鉴别标签信号，而且不影响通信信号的正常解调。 Using the advantage of legality sides sharing a private key and having coherent channel state information in short time, the sender produces a tag signal from spread frequency code and measures channel state information, then overlaps the tag signal on the communicational signal, the receiver can detect the correct tag signal and demodulate the communicational signal.
22239 这种方法不需要复杂的密码算法，减小了通信过程中的计算量，而且能够有效地防范被动窃听和主动攻击。 This method avoids using complex cryptographic algorithm, reduces the amount of calculation, and prevents passive eavesdropping and active attack effectively.
22240 仿真结果表明，该方法有较高的实用价值。 Simulation results show that this method has high use value.
22241 针对在一般高斯白噪声环境中，传统的双门限能量检测频谱感知算法忽略确定两门限之间的感知信息的问题，该文提出一种基于动态自适应双门限能量检测的序贯协作频谱感知算法。 In order to overcome the problem of ignoring the sensing information between the two fixed thresholds for double-thresholds energy detection algorithm, the sequential cooperative sensing algorithm based on dynamic adaptive double-threshold energy detection is proposed.
22242 新算法以最优化检测概率为目标，采用序贯方式对协作用户进行动态自适应双门限建模，并对处于两门限之间的接收能量值进行软判决。 Since the soft decision between the two dynamic adaptive double thresholds is used for optimizing the probability of detection, it takes sequential cooperative sensing algorithm to model the adaptive double-threshold regions.
22243 进一步地，新算法能自适应动态调整门限大小和各判决区域协作用户数，以达到最大化检测概率和最优化受试工作特征曲线的目的。 Furthermore, the proposed algorithm can adaptively adjust the thresholds values and the number of collaborative users for each decision region to optimize the probability of detection and receiver operating characteristics curve.
22244 理论分析和仿真结果表明，与经典的双门限能量检测算法相比，提出算法具有更优的检测概率。 Simulation results show that the proposed algorithm has better performance for the detection capability, compared with other double thresholds sensing algorithms.