ID 原文 译文
24425 基于仿真数据和实测数据的分析表明，该方法适用于估计大加速度机动目标的微动参数问题。 Analysis based on simulation and measured data show that the method is suit for micro-motion parameter estimation of large acceleration flexible-motion target.
24426 合成孔径雷达(SAR)成像理论分析和工程经验表明当雷达平台的运动误差幅度达到亚波长量级时，会影响图像的聚焦质量。 Theoretical analysis and engineering experience of SAR imaging shows that radar platform's motion error will affect the quality of the image if its amplitude is greater than sub wavelength.
24427 相对传统微波 SAR，太赫兹合成孔径雷达(THz-SAR)工作在波长更短的太赫兹频段，对搭载雷达平台的稳定性要求更苛刻，需要达到微米级的控制和测量精度，目前的平台控制和测量技术还不能满足要求。 Compared with traditional SAR working in microwave frequency band, TeraHertz SAR (THz-SAR) works in a shorter wavelength as the TeraHertz band, the control and measure accuracy of radar platform's motion should be micron dimension, but the current technology can not meet the requirements.
24428 该文提出一种基于回波数据的 THz-SAR 成像运动补偿算法，通过惯性测量单元输出的姿态信息完成由运动误差引起的距离徙动的校正，结合天线方向图和粗聚焦图像中特显点的最大幅值估计最优位置并构建理想回波。 A novel motion compensation algorithm for THz-SAR imaging based on echo data is proposed in this paper. The attitude information from the inertial measurement unit is used to calibrate the migration error caused by the motion. Firstly, an obvious point like object is found in the coarse focusing image and the optimal position of this point is estimated by combining the antenna pattern and the maximum echo's amplitude.
24429 利用实际回波和理想回波数据提取由平台运动误差引起回波的相位误差并进行补偿，有效地实现了 THz-SAR 高分辨率成像。 Then the ideal echo of this point object is generated using the above estimated position and the phase error caused by the motion error of the platform is extracted by comparing the actual echo and the ideal echo. The extracted phase error is used to compensate the motion error of platform.
24430 采用中心频率 0.2 THz 的 SAR 系统进行室外车载实验，对目标进行 2 维高分辨成像，得到角反射器和金属条的 SAR图像。 The SAR system with center frequency 0.2 THz is used to carry out the outdoor vehicle experiment. Two dimensional high resolutions of SAR images of the corner reflectors and the metal strips are achieved.
24431 实验结果验证了所提运动补偿算法的正确性和有效性。 The validity of the proposed motion compensation algorithm is proved by experimental results.
24432 该文针对多属性不确定数据流的频繁模式发现问题，借鉴生物信息学中的模体发现思想，提出了一种基于MEME(Multiple Expectation-maximization for Motif Elicitation)的多属性不确定数据流模体发现算法。 Algorithm of motif discovery for multiple attributes uncertain data stream is proposed on the basis of MEME (Multiple Expectation-maximization for Motif Elicitation), which consults the thought of sequential pattern discovery in bioinformatics to solve the problem of frequent pattern discovery for multiple attributes uncertain data stream.
24433 该算法根据不确定数据流的特点，设计了基于混合型模型的不确定滑动窗口更新计算方法，改进了 SAX(Symbolic Aggregate approXimation)的符号化策略，提出了不同滑动窗口下多属性模体的相似性分析方法。 A new method for update calculation of uncertain sliding window is designed based on mixed type model, SAX (Symbolic Aggregate approXimation) symbolic strategy is improved, and similarity analysis method for multiple attributes motifs under different sliding windows is put forward.
24434 在实验当中，用防空反导情报传感器网络中的一组不确定数据流验证了其功能，通过植入不同数目的模体测试了其发现准确率，并在元组有效概率设置为 1 的条件下与已有算法进行了比较，结果表明：该算法可以较准确地发现多属性不确定数据流中的频繁模式。 The proposed algorithm is verified to be correct functionally by a set of uncertain data stream in the wireless sensor network of air and missile defense. Its accuracy is measured through planting different number of motifs. Furthermore, comparison with previous algorithm with tuples' valid probability set to 1 shows that the proposed algorithm can discover frequent pattern for multiple attributes uncertain data stream precisely.