ID	原文	译文
6044	针对相对径向加速度较小时,已有的到达时间(time of arrival,TOA)二次变化率定位方法精度低的问题,提出基于TOA变化率的高精度定位方法。	In view of the relative radial acceleration is small, the existing arrival time (the time of arrivals from TOA) second rate method is the problem of low accuracy, high precision positioning method based on TOA rate is put forward.
6045	为了提高TOA变化率估计精度,提出忽略径向加速度进行有偏估计的方法;	In order to improve the TOA rate estimation accuracy, ignore the radial acceleration of biased estimation method;
6046	基于有偏的TOA变化率,首先采用牛顿迭代方法,获得目标位置的粗估计,再根据粗定位值近似计算定位偏差,对粗定位进行偏差修正,得到目标位置的高精度估计。	Based on the TOA rate biased, first using Newton iterative method, obtain the target location of rough estimates, approximate calculation according to the coarse positioning value orientation deviation, for coarse location deviation correction, get high accuracy of target location estimation.
6047	理论分析了利用有偏估计进行定位带来的随机误差和定位偏差,以及偏差修正后的定位精度。	Theoretical analysis using biased estimate to locate the random error and position deviation, deviation correction and after positioning accuracy.
6048	仿真分析表明,在观测站速度和加速度较小时,本文提出的TOA变化率定位方法精度优于TOA二次变化率定位方法,提出的偏差修正方法可有效降低有偏估计带来的定位偏差,定位精度优于无偏TOA变化率定位方法。	Simulation analysis shows that the velocity and acceleration in the observatory is small, the proposed method accuracy TOA rate change rate is better than that of TOA secondary positioning method, the proposed deviation correction method can effectively reduce the biased estimation of location deviation, positioning accuracy is better than that of unbiased TOA rate positioning method.
6049	在卫星导航数据处理实践中,发现广播星历轨道误差中客观存在不确定性的规律现象。	In satellite navigation data processing practice, found the broadcast ephemeris error of orbit in the rule of objective uncertainty phenomenon.
6050	针对这种不能用确定数学模型表示的误差信息,建立基于粒子群优化反向传播(back propagation,BP)神经网络的轨道误差预测模型。	For this cannot be used to determine the error of the mathematical model to represent information, based on particle swarm optimization back propagation (BP) back propagation, track error of the neural network prediction model.
6051	通过粒子群算法对BP神经网络的初始权值和阈值进行全局寻优,利用广播星历解算出的卫星空间位置和速度,并结合时间信息和摄动改正数对神经网络进行训练和测试。	By particle swarm algorithm of BP neural network's initial weights and thresholds for global optimization, calculated using the broadcast ephemeris of satellite space position and speed, and combining the time information and the number of perturbation correction for neural network training and testing.
6052	结果表明该模型对广播星历轨道误差具有较好的拟合能力和预测效果,用该模型对卫星位置解算提供误差补偿,可有效提高卫星定轨精度,降低系统级误差。	Results show that the model of broadcast ephemeris rail has good effect for fitting and prediction error, using the model of satellite position calculating error compensation, which can effectively improve the satellite orbit determination precision, reduce the systematic error.
6053	为了评估四旋翼固定翼垂直起降复合布局无人机(简称固旋翼无人机)垂直起降阶段的抗风性能,本文以固旋翼无人机垂直起降阶段在风场中保持稳定为基础建立了抗风特性分析方法。	Composite layout in order to evaluate four rotor fixed wing vertical take-off and landing unmanned aerial vehicle (uav) (hereinafter referred to as solid rotor unmanned aerial vehicle (uav) vertical take-off and landing phase of wind resistance, based on the solid rotor unmanned aerial vehicle (uav) vertical take-off and landing phase stability in wind field on the basis of wind resistance characteristic analysis method is established.