ID	原文	译文
55267	提出了一种能够大大降低二维DOA估计运算量的模值约束降维MUSIC算法,该算法将二维DOA估计问题转化为优化方程的求解问题,并采用模值约束法定义附加条件,使方向向量得到了较强约束,进而使求解结果更加接近最优解。	Put forward a kind of can greatly reduce the modulus values of 2-d DOA estimation computation constraints dimension reduction MUSIC algorithm, this algorithm 2-d DOA estimation problem can be converted to optimization equation to solve the problem, and USES the modulus value constraint method to define additional conditions, make the direction vector to get the strong constraints, and then make the results more close to the optimal solution.
55268	理论分析和仿真实验表明,本文算法所需运算量较低,且角度估计的成功率与精确度较高。	Theoretical analysis and simulation experiments show that the algorithm computational complexity is low, and high success rate and precision of Angle estimation.
55269	针对杂波环境下的多目标数据互联问题,提出了基于距离、航速和航向信息的多目标数据互联算法。	Multi-objective data interconnection for clutter environment problem, was proposed based on distance, speed and heading information of multiple target data interconnection algorithm.
55270	该算法首先以不同目标状态更新向量中的位置元素为中心,基于距离门限对测量数据进行选择,然后在此基础上利用目标航速和航向信息对选择的测量数据做进一步判断,具体方法是由当前时刻目标测量数据和前一时刻目标的状态来估计相应目标的航速和航向,并通过设定的航速和航向门限对保留的测量数据进行选择,实现复杂环境下的多目标数据的有效关联;然后计算有效回波是正确量测的概率,并以这些概率值作为权值对目标状态进行加权融合,实现杂波环境下多目标的可靠跟踪;最后通过仿真实验对算法的有效性和可行性进行了验证。	The algorithm firstly in different position in the target state update vector elements as the center, based on distance threshold to selection of measurement data, and then on the basis of the use of the target speed and course information to choose the measurement data for further judgment, the specific method is the current target measurement data and previous moment state to estimate the corresponding target speed and heading, and through the set speed and heading threshold to retain to choose measurement data, implement effective under the complex environment of multi-target data association;Then effective echo is calculated by the probability of correct measurement, and the probability value as weights to weighted fusion of target state, to realize the objective of clutter environment more reliable tracking;Finally, the feasibility and effectiveness of the simulation of algorithm is validated.
55271	针对无人机采用扫描线实现区域覆盖的方式中,未充分考虑无人机最小转弯半径的问题,提出了两种可行的转弯方式,即Ω形转弯和α形转弯,并对两种方式的转弯时机、半径和航迹进行了分析计算。	For unmanned aerial vehicle (uav) with the method of scan lines to achieve regional coverage, not fully consider the matter of unmanned aerial vehicle (uav) minimum turning radius, proposes two feasible ways of turning, namely Ω turn turn and alpha profile, and the two ways of timing, turning radius and the track is used for calculation.
55272	理论分析证明:对于同一转弯方式,无人机的转弯半径越小则规划航迹越短;	Theory analysis shows that:
55273	在相同条件下,无人机执行Ω形转弯的路径要少于α形转弯的路径。	in the same way of turning, unmanned aerial vehicle (uav) the smaller the turning radius is the shorter the planning track;In the same condition, the drones Ω shape the path of the turn to turn less than alpha form of the path.
55274	实例分析表明:当无人机最小转弯半径小于扫描线间隔的一半时,Ω形转弯优于常规半圆转弯方式,且无人机最小半径越小,Ω形转弯的路径越短;	Example analysis shows that:
55275	当最小转弯半径大于扫描线宽度的一半时,常规半圆转弯方式已不能满足需要,而Ω形转弯仍然有效。	when the unmanned aerial vehicle (uav) is less than the minimum turning radius of scan line interval of half hour, Ω turn is superior to the conventional way of turning round, the smaller uavs and minimum radius, Ω form turning the shorter the path;When the minimum turning radius is greater than the line width of the half hour, conventional semi-circle mode can not meet the need of turning, and turn Ω shape is still valid.
55276	针对含有不确定和执行器故障的无人机姿态控制系统,提出了一种鲁棒自适应动态面容错控制方法。	Contains uncertainty and actuator fault uav attitude control system, this paper proposes a robust adaptive dynamic feature fault control method.