| ID | 原文 | 译文 |
| 54277 | 建立了机动平台下视圆锥扫描几何模型以及复杂风场的非线性空间分布模型， | The nonlinear spatial distribution model of the complex wind field and the omnidirectional non-uniform sampling data model of radial Doppler velocity were established. |
| 54278 | 相对于传统VAD技术，该方法更能反映真实的复杂风场结构，具有更好的反演效果。 | Compared with the traditional VAD technology, the wind field retrieval results of this method can better represent the real complex wind field structure and better retrieval effects. |
| 54279 | 针对现有旋翼无人机雷达回波信号仿真方法未将密切相关的机身速度与旋翼转速相关联的问题，本文利用旋翼无人机的飞控特征，提出了一种将机身运动与旋翼转速相结合的四旋翼无人机雷达回波信号仿真方法。 | Aiming at the problem that the existing radar echoes simulation method of rotor drones does not correlate the closely related drone body velocity with the rotors rotation speed, a quadrotor drone radar echoes signal simulation method utilizing flight control characteristics which combines the drone body motion with the rotors rotation speed is proposed. |
| 54280 | 首先根据雷达回波仿真所需参数利用四旋翼无人机飞控原理给出一种机身速度与旋翼转速关联的简化运动模型， | Firstly, according to the parameters required for radar echoes simulation, a simplified motion model associating the drone body speed with the rotors rotation speed is given using the flight control principle of the quadrotor drone. |
| 54281 | 其次推导并给出线性调频体制雷达四旋翼无人机雷达回波信号模型， | Then a radar echoes signal model of the quadrotor drone for the linear frequency modulated radar is deduced and given. |
| 54282 | 最后利用坐标系转换将简化运动模型与回波信号模型相结合。 | Finally, the simplified motion model and the radar echoes signal model are combined employing the coordinate system conversion. |
| 54283 | 实验结果表明，仿真回波信号的时频分析结果能够体现机身速度和旋翼转速相关联的微多普勒特征，对于无人机运动状态变化的情况，其雷达回波仿真有必要将机身速度与旋翼转速联合考虑。 | The experiment results show that the time frequency analysis results of simulated echoes signals can reflect the micro-Doppler characteristics related to the speed of the drone body and the rotors rotation speed, and it is necessary to consider relation of the drone body speed and the rotors rotation speed in the radar echoes simulation when the drone motion state varies. |
| 54284 | 本文针对海杂波背景下的慢速微弱目标的检测问题，根据海杂波和目标的振荡特性差异，提出了一种基于自适应可调Q因子小波变换(Adaptive Tunable Q-factor Wavelet Transform，A-TQWT)的海杂波背景下的目标检测算法。 | In this paper, for the detection of slow and weak targets submersed in the sea clutter, by utilizing the difference between the oscillation characteristics of the sea clutter and the moving targets, a slow and weak target detection algorithm in the background of sea clutter based on the adaptive tunable Q-factor wavelet transform is proposed. |
| 54285 | 通过迭代计算、搜索出最能匹配海杂波和目标振荡特性的可调Q小波变换(TQWT)三元参数组合(Q，r，J)，运用形态分量分析法(Morphological Component Analysis，MCA)对海面回波信号进行分析，得到目标的最优稀疏表示; | Through iterative calculation and searching for the optimal ternary parameter combination that best matches the sea clutter and target oscillation characteristics, the morphological component analysis method is used to analyze the sea surface echo signal to obtain the optimal sparse representation of the target; |
| 54286 | 再根据目标分量各小波子带占总能量的比重，选取合适的门限确定重构小波系数集进行重构，得到目标的重构信号，从而实现目标和海杂波的有效分离。 | then according to the proportion of each wavelet sub-band in the total energy of the target component, an appropriate threshold is selected to determine the reconstruction wavelet coefficient set, and thus the target signal can be effectively separated from the sea clutter. |