ID	原文	译文
7744	首先,基于122mm火箭弹推导了俯仰、偏航动力学线性化模型,并以线性分式变换来描述。	First of all, based on 122 mm rockets pitch, yaw dynamics linearization model was deduced, and the linear fractional transformation to describe.
7745	然后,基于鲁棒增益调度设计了结构化的控制器。	Then, based on a robust gain scheduling design of structured controller.
7746	这种控制器具有矩阵形式的比例-积分结构,在续航段将速度和时间作为调度变量,在无动力飞行段将速度作为调度变量,按照线性控制综合方法整定各特征点的控制器参数,并用结构奇异值验证闭环系统的局部稳定性。	This controller proportional - integral structure of a matrix form, in the last period of the speed and time as scheduling variable, in the absence of powered flight segment will as scheduling variable speed, according to the linear control synthesis method setting controller parameters of each feature points and the structure singular value validation for the local stability of the closed-loop system.
7747	最后,对设计的控制器做了仿真分析,结果表明,该控制器对火箭弹模型因推力、飞行状态变化等引起参数摄动的情况具有鲁棒稳定性。	Finally, the design of the controller made the simulation analysis, the results show that the controller of the rocket model caused by the thrust and flight state change with robust stability parameter perturbation.
7748	针对非均匀噪声背景下欠定波达方向(direction of arrival,DOA)估计问题,结合互质阵列的结构优势,提出了基于全变分范数最小化的DOA估计方法。	For non-uniform background noise still owing DOA (direction of concatenated, DOA) estimation, array structure advantage, combining co-prime was proposed based on DOA estimation method of minimizing the total variation norm.
7749	首先利用连续差联合阵列与连续波程差一一对应的特性,构造出新的阵列接收数据,阵列孔径得到扩展;	First using continuous poor joint array and continuous wave path difference one-to-one features, construct new array receiving data, array aperture be extended;
7750	然后将其转化为一个联合优化问题,在代价函数中利用全变分范数和L1范数惩罚项分别对角度的稀疏性和噪声项进行约束;	And then transformed into a joint optimization problem, in the cost function by using total variation norm and L1 norm punishment were sparse sex of Angle constraint and noise;
7751	最后通过求解相应的凸优化问题以及多项式求根得到DOA的高精度估计。	Finally, by solving the corresponding convex optimization problem and polynomial for root to get high accuracy estimation of DOA.
7752	与现有方法相比,所提方法不仅无需进行预白化处理,而且考虑了连续角度域内的所有角度信息而不是对角度域进行离散化,有效避免了模型失配对估计性能的影响,提高了估计精度和分辨率。	Compared with existing methods, the proposed method is not only the need for bleaching processing, and consider all the angles of the continuous Angle domain information rather than the Angle domain discretization, effectively avoid the influence of model matching estimation performance loss, improve the estimation precision and resolution.
7753	仿真实验验证了所提方法的有效性与优越性。	Simulation results verify the effectiveness and superiority of the proposed method.