ID 原文 译文
14125 该方法计算了地球曲率影响,避免了误差二次放大,算法简单、精度高。相比传统的先估算目标相对距离,再按有准确激光测距值进行定位解算的方法,其定位精度得到了很大提升。 The method calculates the effects of the earth's curvature and avoids the secondary multiplication of the errors.This algorithm is simple with high precision.Compared with that of the traditional geolocation method‚which conducts positioning calculation based on the exact value of laser ranging after estimating the relative distance of the target first‚the positioning accuracy of the proposed method is promoted greatly.
14126 大量使用的恒功率负载对飞机电网稳定性有至关重要的影响。 The widely-used Constant Power Loads(CPL) have a crucial impact on the stability of the aircraft power system.
14127 分析了恒功率负载的特性,建立了多电飞机高压直流电力系统的等效电路模型,基于小信号分析法研究了恒功率负载变化对系统稳定性的影响。 The characteristics of CPL are analyzed‚and an equivalent circuit model of the High-Voltage DC(HVDC) power system of More Electric Aircraft(MEA) is established. Based on the small-signal analysis method‚the effects of CPL variation on the stability of the system are studied.
14128 研究结果表明,恒功率负载增大会使系统的稳定性降低,而为其并联容性负载可以延缓稳定性降低的趋势。 It is concluded that an increasing CPL will reduce the system's stability‚and the capacitive loads in parallel can slow this trend.
14129 为保护系统,设计了参考电压控制器,重载时降低负载线缆电流,补偿负载电压。 In order to protect the system‚a reference voltage controller is designed‚which can reduce the current in the load line and compensate for the load voltage when the system is under heavy load.
14130 基于Simulink平台建立了系统的时域仿真模型,仿真结果证明了稳定性分析的正确性和控制器设计的有效性。 Based on the Simulink platform‚a time-domain simulation model is established.Simulation results have proved the correctness of stability analysis and the effectiveness of the designed controller.
14131 针对目标雷达散射截面积(RCS)较小、杂波和噪声严重环境下短距离慢动目标难以检测的问题,设计了一种具有跳跃连接结构的双通道卷积自编码器的目标检测方法。 In the environment with small Radar-Cross Section(RCS),serious clutter and noise,it is difficult to detect the slow-moving target at short range. To solve the problem,a target detection method based on double-channel convolutional auto-encoder with skip connection is proposed.
14132 该方法以时频谱作为输入,送入设计的卷积自编码器模型中,网络采用IQ双通道结构以提取目标回波的幅度和相位特征,并在中间层实现特征融合。 The time-frequency spectrum is introduced to the convolutional auto-encoder as the input. The neural network structure adopts the IQ double-channel to extract amplitude features and phase features from target echoes,and fuses the multi-dimensional features in the middle layer.
14133 考虑到在时频谱上目标尺度小,网络中还设计了跳跃连接结构将网络顶层与底层跳跃连接以增强目标信号在解码器中的恢复。 Considering that the target scale is small in time-frequency spectrum,the skip connection structure is designed in the network,which connects the top and the bottom of the network to improve the recovery ability of target feature in decoders.
14134 这种结构还有利于缓解深度网络带来的梯度消散问题,使网络在端对端训练时更加高效。 Moreover,it can mitigate the gradient dissipation problem of the deep network,and improve the efficiency of end-to-end training.