ID	原文	译文
38426	而后,利用分选所得脉冲的时序特征与重点目标信号脉冲重复间隔(pulse repetition interval,PRI)生成仿真信号;	And then using the separation of the pulse temporal characteristics and key target signal pulse repetition interval (pulse repetition interval, PRI) generated simulation signal;
38427	最后,计算仿真信号的互相关函数,基于相关度判断PRI参数是否匹配。	Finally, the simulation signal cross-correlation function, based on relevance to determine whether a PRI parameter matching.
38428	仿真实验表明:所提方法明显提升了对重点目标信号的识别时效,能够应对存在噪声干扰和信号交叠的复杂信号环境,对局部脉冲参数丢失不敏感。	Simulation experiments show that the proposed method significantly improved the recognition of the key target signal limitation, able to deal with noise and the signal overlapping complicated signal environment, is not sensitive to local pulse parameters is missing.
38429	天波超视距雷达能够同时探测空中目标和海面目标,具备执行多任务的能力,为优化整体探测效能,必须考虑波位调度问题。	Sky-wave over-the-horizon radar can detect air targets and sea targets at the same time, have the ability to perform multiple tasks and to optimize the overall detection performance, wave a scheduling problem must be considered.
38430	借鉴相控阵雷达资源调度思想,结合天波超视距雷达工作方式和任务特点,研究了一种修正截止优先(earliest deadline first,EDF)和多模板相结合的波位调度方法。	Referenced by the ideas of the phased-array radar resource scheduling combination of sky wave over-the-horizon radar works, and the characteristics of the task, a correction was studied by the priority (earliest deadline first, EDF) and the combination of multiple templates wave a scheduling method.
38431	首先,在经典修正EDF方法基础上对截止期进行重新定义,并改进任务优先级计算方法;然后,设计了三种波位调度模板;最后,根据任务优先级计算结果,自适应选择调度模板。	First of all, based on the classical EDF method to redefine the deadline, and improve the task priority calculation method;Then, a schedule template design three kinds of wave;Finally, based on results of calculating the task priority, the choice of the adaptive scheduling the.
38432	该方法能够使雷达探测资源在复杂任务场景下得到更加精细的配置,从而最大化发挥其探测效能。	This method can make the radar to detect resources in complex task scenario to get more detailed configuration, to maximize the use of its detection performance.
38433	针对高阶容积卡尔曼滤波在无人机导航等高维非线性系统中存在较大高阶采样误差的问题,提出了一种基于正交变换的五阶容积卡尔曼滤波(orthogonal transformed fifth-order cubature Kalman filter,OT5-CKF)。	For high order volume of Kalman filter in unmanned aerial vehicle (uav) navigation, the larger sampling error of higher order in high-dimensional nonlinear system, this paper proposes a five order volume Kalman filter based on orthogonal transform (orthogonal transformed at fifth - order cubature Kalman filter, OT5 - CKF).
38434	利用三角函数的正交性特点,对原有的容积点进行适当的容积变换,将变换后的容积点代入容积卡尔曼滤波(cubature Kalman filter,CKF)模型中。	By using the orthogonality of the trigonometric function characteristics, the proper volume of the original volume point transformation, will change after volume points into volume Kalman filtering (cubature Kalman filter, CKF) model.
38435	经分析,新的容积点可以极大地避免高维系统的高阶采样误差。	Through the analysis, a new volume can greatly avoid high dimensional systems of higher order sampling error.