ID 原文 译文
55767 针对常规十字阵子阵间互耦不易处理这一问题,设计一种立体十字型阵列,并在该阵列基础上,提出立体十字型互耦阵列传播算子(propagation method for tridimensional cross array in presence of mutual coupling,TCA-MC-PM)算法。 For regular array mutual coupling between cross days is not easy to deal with this problem, design a kind of three-dimensional cross array, and on the basis of the array, put forward the three-dimensional cross array mutual coupling propagator (propagation method for tridimensional cross array in presence of mutual coupling, TCA - MC - PM) algorithm.
55768 该算法首先分别从子阵中选取部分合适阵元构成阵列,将理想导向向量与互耦系数剥离,利用信号子空间与理想导向向量张成同一空间这一关系估计方位角与俯仰角,接着通过子空间与秩损原理估算互耦系数,最后利用整个阵列的空间谱函数完成方位角和俯仰角的配对。 The algorithm firstly respectively from submatrix selected suitable array elements in the array, directs the ideal vector and mutual coupling coefficient, using the signal subspace and the ideal direction vector r. vishny same space relationship between the estimation of azimuth and pitching Angle, then through subspace and rank loss principle to estimate the mutual coupling coefficient, the use of the space of whole array azimuth Angle and elevation Angle spectrum function matching.
55769 在此过程中涉及的子空间都以阵列的传播算子构建,可避免特征分解,降低运算量。 Involved in the process of subspace is to build an array of propagator, can avoid feature decomposition, reduce the computational complexity.
55770 仿真表明,本文提出的算法不涉及空间谱搜索,运算量小,有效抑制互耦影响,测量精度高。 Simulation shows that the proposed algorithm does not involve spatial spectral search, small computational complexity, effectively suppress the mutual coupling effect, high measurement precision.
55771 针对常规空时自适应处理(space-time adaptive processing,STAP)在机载雷达非均匀杂波环境下杂波抑制性能下降的问题,提出一种直接数据域(direct data domain,DDD)迭代空时自适应处理方法。 For conventional space-time adaptive processing (space - time the adaptive processing, STAP) in airborne LeiDaFei homogeneous clutter environment clutter suppression performance degradation problems, put forward a kind of direct data domain (direct data domain, DDD) iteration space-time adaptive processing method.
55772 首先利用数据的特殊结构和空时谱的稀疏性引入一种新的迭代自适应(iterative adaptive approach,IAA)空时二维谱估计算法,然后在获得待检测单元空时谱分布的基础上重构无孔径损失的协方差矩阵,最后根据目标信号在空时平面的分布特点,提出一种新的目标剔除算法对协方差矩阵进行修正,以避免目标自相消。 First using the data of the special structure and space-time spectrum sparse sex to introduce a new iterative adaptive (iterative adaptive that IAA) space-time two-dimensional spectral estimation algorithm, and then on the base of the unit to be detected the space-time distribution on refactoring covariance matrix without aperture loss, according to the target signal in the space-time distribution characteristics of planar, puts forward a new algorithm of target weed out to modify covariance matrix, to avoid the target from the cancellation.
55773 仿真实验结果表明,在存在3%阵列误差的情况下,所提方法在旁瓣杂波区的改善因子比传统直接数据域方法高出约10dB、比多普勒平移法高出约5dB。 The simulation results show that in the presence of 3% under the condition of array error, the proposed method in sidelobe clutter the improvement factor about 10 db higher than traditional direct data domain method, higher than the doppler shift method about 5 db.
55774 通信网络是保证无人机在协同搜索时获取更多的战场信息,发挥协同作战优势的基础。 Communication network is to ensure unmanned aerial vehicle (uav) in the battlefield information when searching for more coordination, the basis of giving full play to the advantages of cooperative engagement.
55775 主要研究多无人机完成通信中继任务过程中的搜索路径规划和通信性能优化问题。 Main research more uav communication relay task in the process of the search path planning and performance optimization of communication.
55776 搜索路径规划的目的是确定未知地面移动人员具体方位并对其组网,以便无人机执行中继任务;而通信优化问题则是针对无人机中继过程中可能出现的通信中断、失真等问题,分析通信网络信息传输的路由选择,选取通信延时为性能指标,通过改变无人机的路径选择来提高通信网络的性能。 The purpose of the search path planning is to determine the unknown ground mobile personnel specific azimuth and the networking, uavs to relay mission;And communication optimization problem is for unmanned aerial vehicle (uav) may occur in the process of relay communication interrupt, distortion and other issues, the analysis of the communication network information transmission route selection, selection of communication time delay as the performance index, by changing the path choice of unmanned aerial vehicle (uav) to improve the performance of communication network.