ID	原文	译文
7464	仿真结果表明,算法可以很好地利用量测信息,获得更高精度的估计结果。	Simulation results show that the algorithm can use measuring information, get higher precision of the estimation results.
7465	电子战飞机(electronic combat air vehicle,ECAV)在对雷达网协同产生航迹欺骗干扰过程中会引入误差,分布式组网雷达可根据真/假航迹关联距离差异识别出航迹欺骗干扰。	Ew aircraft (electronic combat air vehicle, ECAV) on the track is deception jamming on radar cta with can introduce errors in the process, a distributed netted radar according to the difference of true/false correlation distance identify track is deception jamming.
7466	针对该问题,在三维条件下设计产生两种航迹欺骗干扰的基础上,重点分析雷达站址侦测误差和电子战飞机预设位置误差对航迹欺骗干扰的影响。	Aiming at the problem, under the condition of three dimensional design, on the basis of two kinds of track is deception jamming, focus on site detection error analysis of radar and electronic warfare aircraft preset position error influence on track is deception jamming.
7467	然后针对组网雷达航迹关联检测,提出了一种偏差补偿机制,理论分析和仿真实验验证了该方法的可行性和有效性。	And then for netted radar correlation detection, this paper proposes a deviation compensation mechanism, theoretical analysis and simulation experiments verify the feasibility and validity of the method.
7468	针对高端装备研制任务影响因素多、不确定性大、网络结构复杂等特点,采用蒙特卡罗仿真方法模拟其执行过程,用以估算研制任务的工期、成本、返工次数、失败率等。	For high-end equipment development tasks are many influence factors and high uncertainty, complex network structure, using the monte carlo simulation method to simulate the process of execution, for estimating the research mission of the time limit for a project, cost and number of rework, failure rate, etc.
7469	综合考虑子任务的工期和成本的不确定性、子任务之间的各种关系以及执行过程中的自环、返工迭代、重叠、失败、学习效应等,改进资源冲突处理规则,基于设计结构矩阵建立仿真模型,并实现了仿真算法。	Comprehensive consideration of the uncertainty of the duration of subtasks and cost, the relationships between the subtasks and execution in the process of the ring, rework iteration, overlapping, failure, learning effects, etc., to improve the resource conflict processing rules, simulation model which is based on design structure matrix, and realizes the simulation algorithm.
7470	以某无人机研制任务为例进行应用研究,对仿真输出的工期、成本、返工次数、失败率等数据进行分析,并与相关文献中的数据进行比较。	For an unmanned aerial vehicle (uav) is used as an example for the development of research, the duration of the simulation output, cost, number of rework, failure rate, such as data analysis, and comparing with the data in the literature.
7471	针对多变量小样本的非线性系统建模问题,提出了多变量离散灰色幂模型并探讨其参数求解方法;	For multivariable nonlinear system modeling problem of small sample, the power of multivariable discrete grey model is put forward, and discuss the parameter method;
7472	鉴于驱动因素作用机制对模型精度的重要影响通过引入驱动控制函数,多阶段识别起主导作用的驱动因素,构造多变量离散灰色幂模型的优化模型,并研究驱动控制函数参数识别方法,给出了模型建模预测步骤;	Given the driver mechanism important influence on the accuracy of model, through introducing the drive control function, multi-stage identification plays a leading role in the drive factors, structure optimization model of multivariable discrete grey exponential model, and the drive control function parameter identification method, gives the modeling prediction steps;
7473	最后,利用构建模型解决我国粮食产量预测问题,表明新模型能够更好地描述系统特征行为序列与驱动因素序列间的非线性关系,从而有效提升建模精度。	Finally, the use of building China's grain output prediction model to solve the problem, show that the new model can better describe the system characteristics behavioral sequence and the nonlinear relationship between driving factor sequence, thus effectively improve modeling accuracy.