ID 原文 译文
13514 进一步采用三维模型法, 基于多孔隙泡沫镍大多数相同孔的立体网状骨架结构特性, 建立电磁传输十二面体基本结构单元模型, 探讨了多孔隙泡沫镍的屏蔽机理, 为高通透多孔隙泡沫金属材料的电磁防护应用提供有益指导。 Furthermore, based on the characteristics of the 3Dnetwork skeleton construction of most of the same pores of porous nickel foam, the basic dodecahedron-structure unit model for electromagnetic transmission is established by using 3Dmodel method.Meanwhile, the shielding mechanism of porous nickel foam is discussed, which provides guidance for the application of highly permeable metal foam materials in electromagnetic protection.
13515 空间碎片监测对保障人类空间与航天活动具有重要意义。 Monitoring of space debris (SD) is significant for maintaining aerospace activities of mankind.
13516 文中利用曲靖非相干散射雷达探测数据分析了空间碎片统计分布特征, 并探讨了空间碎片姿态。 In this paper statistical distribution including kinetic characteristic of space debris is studied by analysis of data from incoherent scattering radar in Qujing of Yunnan.
13517 主要结果包括:1) 空间碎片多集中在800km和1 000km高度区域, 尺寸主要分布在10～30cm, 径向速度主要集中在1km/s附近，通过速度的对称性推测空间碎片轨道倾角应关于极轨道对称。 The main results are:1) the largest population of SD is distributed in 800km and 1 000km orbital space with size of 10-30cm and absolute value of range ratio centred at 1km/s, the symmetry of which indicates the symmetry of inclination of orbits of SD.
13518 2) 验证了空间碎片的翻滚姿态特性并推测出空间碎片形状随轨道高度的变化趋势, 即在更高的轨度高度上形状更加均匀规则，同时可利用翻滚姿态与其他空间目标如卫星进行识别分类, 即如果雷达散射截面积 (radar cross section, RCS) 较大, 且不具备周期性, 则为正常的卫星过境。 2) it is re-verified that SD is in spinning style of motion which sees slower change of radar cross section (RCS) with the increase of height, indicating SD at higher space tend to be more sphere-like, and kinetic characteristic of this can be used for identification of SD against functional space objects, satellites e.g..
13519 针对非相关信源与相干信源共存情况, 提出了一种基于矩阵重构的信源数与波达方向 (direction of arrival, DOA) 联合估计算法。 A joint estimation algorithm of sources number and direction of arrival (DOA) based on matrix reconstruction is proposed for the coexistence of uncorrelated sources and coherent sources.
13520 该算法首先利用特征值的二阶统计量 (second order statistic of eigenvalues, SORTE) 法和子空间旋转不变技术 (estimated signal parameter via rotational invariance techniques, ESPRIT) 实现非相关信源数与DOA估计。 Firstly, we uses the second order statistic of the eigenvalues (SORTE) method and the estimated signal parameter via rotational invariance techniques (ESPRIT) to achieve the uncorrelated number and the estimation of the number of sources in the algorithm.
13521 然后基于空间差分法消除非相关信号并构造新矩阵, 利用构造矩阵进行前向空间平滑, 实现对相干信源解相干。 Secondly, the uncorrelated signals are eliminated and a new matrix is constructed based on the spatial difference method. Next, the forward spatial smoothing can be used to realize the covariance matrix recovery.
13522 最后利用SORTE法检测相干信源数, 结合求根多重信号分类 (multiple signal classification, MUSIC) 算法估计相干信源DOA。 Finally, the number of coherent signals is estimated using the SORTE method, and the DOAs of coherent signals are estimated by root multiple signal classification (root-MUSIC) algorithm.
13523 与传统的差分平滑方法相比, 该算法在可估计信源数与低信噪比情况下DOA估计性能等方面优于传统算法。 Compared with the previous works, the proposed method can resolve more signals than the array elements with good performance.