ID	原文	译文
6564	针对模板匹配(template matching,TM)应用于未知干扰规则库时干扰决策正确率低问题,提出基于迁移成分分析-支持向量机(transfer component analysis-support vector machine,TCA-SVM)的干扰决策方法。	For template matching, the template matching, TM) applied to the unknown disturbance rule base interfere with the decision-making problem of low accuracy, component analysis is proposed based on the migration - support vector machine (transfer component analysis - support vector machine, TCA - SVM) decision method of interference.
6565	对空-空场景机载多功能火控雷达,提取雷达信号特征,构建雷达干扰规则库及未知威胁数据集,通过迁移成分分析把两个样本集的特征映射到同一低维隐藏空间,提取样本隐藏空间特征,经过支持向量机训练,实现对未知威胁数据集的干扰决策。	For airborne fire control radar, empty, empty scene extract radar signal characteristic, rule base construction of radar jamming and the unknown threat data sets, through migration component analysis the two characteristics of sample set mapped to the same low d hidden space, extracting samples hidden space characteristics, with support vector machine training, implementation of the interference of unknown threat data set.
6566	实验结果表明:所提方法有效提高了干扰决策正确率,TCA-SVM出色的学习及泛化能力,较好地解决了干扰规则库未知条件下干扰决策问题。	The experimental results show that the proposed method improves the interference effectively decision-making accuracy, TCA - SVM excellent learning and generalization ability, better solve the interference rule base decision problem under the condition of unknown interference.
6567	随着军事信息通信技术的不断进步和联合作战军事信息系统的发展,由多种网络融合构成的多元态网络空间逐渐成为军事信息网络环境的主要呈现状态。	Along with the advance of military information communication technology and combined operations the development of the military information system, composed of a variety of network integration of multiple state network space has gradually become the main present state of military information network environment.
6568	在多元态军事信息网络空间中,不同元素节点对于安全风险的抵御能力、传播能力不同,单一的基于互联网模型的风险传播模型难以有效描述这种差异并真实反应风险传播规律。	In multivariate state military information network space, different element node for security risk resist ability, communication ability is different, the risk of a single model based on Internet propagation model is difficult to effectively describe the differences and real reaction risk propagation law.
6569	针对这一问题,构建多元态军事网络空间模型,通过改进经典的节点中心性计算方法,并设定节点传播因子和感染因子,实现对多元态军事网络空间节点的区分描述,并在此基础上仿真推演其传播规律,为军事网络空间风险的隔离与防控提供依据。	Military networks in order to solve this problem, build multivariate state space model, by improving the classical calculation method of the node centricity, and set the node transmission factor and infection factor, implementation to the distinction between the multiple state military network node space, and based on this simulation exercise its propagation law, for the military network space isolation and provide evidence for prevention and control of risk.
6570	针对非正侧视阵训练样本非均匀导致自适应处理性能下降这一问题,提出了基于迭代自适应方法的角度多普勒补偿法及改进方法。	On the positive side array training sample non-uniform led to the decrease of the adaptive processing performance of this problem, was proposed based on the Angle of the iteration method of adaptive doppler compensation method and improved method.
6571	通过迭代自适应方法找到各距离门的主杂波所处的空域和多普勒域的中心位置,之后对待检测单元的训练样本数据进行角度多普勒补偿。	Door through iterative adaptive method to find the distance of the main clutter in the center of the airspace and doppler domain, after treatment of detecting unit training sample data point of doppler compensation.
6572	由于全空时域的功率谱估计搜索速度慢,搜索精度低,为此提出了局部搜索的快速迭代自适应功率估计算法和网格重构的迭代自适应功率估计算法。	Due to the time domain of empty slow search speed power spectrum estimation, the search precision is low, local search is proposed for this fast iterative adaptive power estimation algorithm and iterative adaptive power estimation algorithm to reconstruct the grid.
6573	通过仿真实验及分析证明了所提方法的有效性,同时随着谱估计方法的改进,该方法的性能也会得到提升。	By simulation experiment and analysis prove the effectiveness of the proposed method, at the same time as the spectrum estimation method is improved, also improves the performance of the method.