| ID | 原文 | 译文 |
| 6934 | 首先定义无限原子集合并建立原子范数最小化模型,再利用其对偶问题完成对信号的估计,最后根据对偶多项式在单位圆上的绝对值完成信号频率的估计,通过统计频率分量的个数完成了信号跳变时刻的估计。 | First define an infinite collection of atoms and atoms norm minimization model is set up, using the dual problem to complete the estimate of the signal, finally according to the absolute value of the dual polynomial on the unit circle complete signal frequency estimates that by the number of statistical frequency component completed signal jump time estimates. |
| 6935 | 仿真结果表明该算法在多跳频信号条件下能够得到比现有算法更高的估计精度和性能。 | The simulation results show that the algorithm under the condition of multiple frequency hopping signal can get higher estimation accuracy than the existing algorithms and performance. |
| 6936 | 潜艇是海战中军舰的主要安全威胁,反潜成为海上作战的首要任务。 | Submarine is a naval ships in the main security threat, anti-submarine become the primary task of naval warfare. |
| 6937 | 为了更精确地探测潜艇的状态信息,提出基于动态数据驱动的反潜战系统目标探测方式。 | State information in order to more accurately detect submarines, put forward based on dynamic data driven way of anti-submarine warfare system target detection. |
| 6938 | 在仿真模型中融入真实测量数据,把反潜战仿真系统和真实系统相结合,使应用仿真与测量系统之间构成相互协作的动态反馈控制系统。 | In the simulation model into the real measured data, the combination of anti-submarine warfare simulation system and the real system, the application of simulation and measurement system of cooperation between dynamic feedback control system. |
| 6939 | 考虑测量不确定性和杂波等因素,采用随机有限集(random finite set,RFS)实现反潜战系统的仿真建模,设计基于RFS的数据同化算法和测量控制方法。 | Considering factors such as measurement uncertainty and noise, use stochastic finite set (random finite set, RFS) simulation modeling of anti-submarine warfare system design based on the data assimilation of RFS algorithm and measuring control method. |
| 6940 | 实验表明基于动态数据驱动的反潜战系统能够使仿真系统、反潜战系统和测量系统形成可行有效的动态数据驱动应用系统(dynamic data driven application system,DDDAS),并且能够实现对潜艇目标进行精确可靠地探测。 | Experiments show that the anti-submarine warfare system based on dynamic data driven system that can make the simulation system, anti-submarine warfare and measuring system is feasible and effective dynamic data driven application system (dynamic data driven application system, DDDAS), and can detect of submarine target accurately and reliably. |
| 6941 | 针对真实信号协方差矩阵估计难以直接获取及低快拍条件下传统采样协方差矩阵存在较大误差的问题,提出了基于凸约束下泰勒估计的抗主瓣干扰波束形成算法。 | In view of the real signal covariance matrix estimated difficult to directly access and low fast under the condition of the traditional sampling problems larger error covariance matrix, is presented based on convex constraints Taylor estimates of main lobe interference beamforming algorithm. |
| 6942 | 该算法首先利用凸约束下的泰勒估计法在低快拍数条件下对信号协方差矩阵进行估计。 | The algorithm firstly under the restriction of the convex Taylor estimation method under the condition of the low number of fast, to estimate signal covariance matrix. |
| 6943 | 其次利用多信号分类算法进行波达方向估计,筛选主瓣干扰对应特征矢量。 | Second use multiple signal classification algorithm for doa estimation, corresponding characteristic vector screening of main lobe interference. |