| ID | 原文 | 译文 |
| 6514 | 基于HOG+DPM,ZF网和VGG网的方法平均精度分别为95.031%,93.282%和93.683%。 | Based on HOG + DPM, government network and VGG network method of average accuracy were 95.031%, 93.282% and 93.683%. |
| 6515 | 针对机载气象雷达在存在幅相误差影响时,杂波抑制性能下降,低空风切变风速估计不准确的问题,提出了基于组合空时主通道自适应处理(combined space-time main channel adaptive processing,CMCAP)的低空风切变风速估计方法。 | For airborne weather radar in the presence of amplitude-phase error influence, the clutter suppression performance degradation, low-level wind shear wind speed estimation inaccurate problem, based on the combination of space-time adaptive processing in the main (combined space - time main channel adaptive processing, CMCAP) the low-level wind shear of wind speed estimation method. |
| 6516 | 该方法首先对待测距离单元的雷达回波数据利用构造的降维联合空时变换矩阵进行自适应降维处理,然后构造降维处理器的最优权矢量对降维处理后的数据进行自适应滤波,进而在存在幅相误差的情况下实现风场速度的准确估计。 | This method first treat the test unit distance of radar echo data by using the structural dimension reduction of joint space-time adaptive dimension transformation matrix, and then constructs the optimal weight vector dimension reduction the processor to dimension data after the adaptive filter, and realized in the presence of amplitude-phase error of wind speed is estimated accurately. |
| 6517 | 后续仿真结果证明了所提方法的有效性。 | Following the simulation results prove the effectiveness of the proposed method. |
| 6518 | 为提高全球卫星导航定位系统(global navigation satellite system,GNSS)的定位授时能力,方便用户在无法架设气象参数探测设备的条件下获得更高精度的对流层延迟估计,综述了当前主要的对流层延迟模型的发展; | In order to improve the global satellite navigation and positioning system (global navigation satellite system, GNSS) positioning of timing information, convenient for users under the condition of not erect meteorological parameters detection equipment for higher accuracy in the troposphere delay estimation, the paper summarized the development of the tropospheric delay model of main; |
| 6519 | 分析了两种空间分辨率的全球温压湿(global pressure and temperature 2wet,GPT2w)模型在全球大地测量观测系统(global geodetic observing system,GGOS)测站处的估计精度; | analyzes the two kinds of the spatial resolution of the global temperature pressure wet (global pressure and temperature 2 wet, GPT2w) model in the global geodetic observation system (global geodetic observing system, GGOS) estimation precision of the station; |
| 6520 | 根据GPT2w模型的对流层延迟估计误差与气象参数估计误差的关系,提出了将实测温度与模型经验拟合气象参数相结合的策略; | according to GPT2w model troposphere delay estimation error and the meteorological parameters estimation error, the relationship between the measured temperature and the model is put forward to experience fitting strategy of combination of meteorological parameters; |
| 6521 | 建立了基于反向传播神经网络的GPT2w改进模型。 | based on back propagation neural network is established GPT2w improved model. |
| 6522 | 仿真结果表明,改进模型在2017年全球GGOS测站处对流层延迟估计精度较GPT2w模型提升近32%,且对全球其他位置估计精度同样有改进效果,改进程度与GGOS测站疏密程度有关。 | Simulation results show that the improved model in 2017 global GGOS station in troposphere delay estimation precision is nearly 32% GPT2w model, and to other global location estimation precision, also has the improvement effect, improve the degree of associated with GGOS station being weaved. |
| 6523 | 针对二维混合多输入多输出(multiple input multiple output,MIMO)相控阵雷达发射阵列子阵分割带来的自由度(degree of freedom,DOF)减小问题,提出了基于嵌套阵结构的收发阵列设计方法。 | In two-dimensional hybrid multiple input multiple output (multiple input multiple output, MIMO) phased array radar transmitting array example matrix segmentation of degrees of freedom (DOF) degree of freedom, reduce the problems, puts forward the sending and receiving array design method based on the nested array structure. |