ID 原文 译文
10994 转动目标的微多普勒信号可以通过正弦信号的形式表示。 Turn the target of micro-doppler signal can be represented by sine signal.
10995 该方法从回波信号的时频域中提取出部分周期的微多普勒信号,利用正弦函数的性质,估计出目标转动频率和转动幅度,从而可以估计出目标转动半径。 The method from the echo signal in the time-frequency domain to extract the part of the cycle of micro-doppler signal, by using the properties of sine function, estimate the target rotate frequency and amplitude, which can estimate the target rotating radius.
10996 转动半径作为目标的固有特性,反映目标的结构信息和运动特征,为目标识别和分类提供有力依据,通过仿真实验和实测数据验证了该方法的鲁棒性和有效性。 The intrinsic characteristics of rotating radius as the target, reflect the characteristics of the target structure information and exercise, provide powerful basis for target recognition and classification, the method is verified by simulation results and the measured data of the robustness and effectiveness.
10997 针对"完全扰动"情况下压缩感知雷达(compressed sensing radar,CSR)观测矢量和感知矩阵严重失配,进而引起参数估计性能急剧下降的问题,提出了一种基于贝叶斯压缩感知(Bayesian compressed sensing,BCS)的稳健参数估计方法。 About "completely disturbance" case compressed sensing radar (compressed sensing radar, CSR) observation vector and perception matrix serious mismatch, which cause the problem of parameter estimation performance fell sharply, is put forward based on the Bayesian compressed sensing (Bayesian compressed sensing, BCS) robust parameter estimation method.
10998 首先构造"完全扰动"情况下CSR参数估计的稀疏线性模型,并从稀疏矢量的最大后验概率(maximum a posteriori,MAP)出发,推导了完全扰动矩阵服从柯西分布时的优化目标函数;随后通过稀疏矢量和尺度参数的交替迭代,求得稀疏矢量的最优解。 ‭"Be completely disturbance" structure first case CSR sparse linear model of parameter estimation, and from the sparse vector maximum a posteriori probability (maximum a posteriori, MAP), the perturbation matrix completely obey the cauchy distribution was deduced, the optimization of objective function;Then by alternating iterative sparse vector and scale parameters, the optimal solution of the sparse vector is obtained.
10999 与现有重构算法及其改进算法相比,该方法能够有效改善CSR系统应对失配误差的稳健性,提高目标成功检测的概率和参数估计的精度。 ‭Compared with the existing reconstruction algorithm and its improved algorithm, this method can effectively improve the CSR system response mismatch error robustness, improve the target detection probability of success and the accuracy of parameter estimation. ‭
11000 计算机仿真实验验证了该方法的有效性和鲁棒性。 The computer simulation verified the effectiveness and robustness of this method.
11001 根据以数据为中心的体系结构建模思路,提出了一种装备体系结构语义模型——语义装备体系。 According to the data-centric architecture modeling ideas, this paper proposes a weapons system structure semantic model, semantic.
11002 首先在DoDAF元模型(DoDAF meta-model,DM2)基础上提出语义元模型,定义了装备体系结构的概念基础类及关联关系,给出了由类、关系、属性和实例构建四元组的本体描述框架; ‭ In the first place in the DoDAF metamodel (DoDAF meta - model, DM2) is proposed on the basis of semantic meta-model, define the concept of equipment architecture base classes and associations, gives a class instance, relationship, attributes, and by building quad ontology description framework;
11003 其次基于语义元模型构建了作战视图本体模型、系统视图本体模型、能力视图本体模型,明确了体系组成要素在各视图中的定义、关系和属性的形式化描述; ‭ ‭Second model based on semantic yuan to build the operational view ontology model, ontology model system view, ability view ontology model, has been clear about the system elements in each view definition, relationship and attribute of formalization;