ID 原文 译文
49447 采用优化方法，设计出一种新型的VSCMG簇操纵律，能够规避采用传统添加零运动的加权伪逆操纵律不能规避的奇异点。 using optimization method, designed a new type of VSCMG cluster, the control law can avoid the traditional add zero movement of the weighted pseudo-inverse can't avoid the singularity of the control law.
49448 最后搭建整个航天器姿态控制系统，仿真验证了所设计的新型操纵律奇异规避的有效性。 Finally build the spacecraft attitude control system, the design is verified by the simulation of the effectiveness of the new control law of singular aversion.
49449 针对低信噪比下二进制偏移载波时分数据调制(time division data modulation-binary offset carrier，TDDM-BOC)信号的副载波类型盲识别及参数盲估计问题，提出了一种改进的基于循环谱包络的方法。 Under low SNR data in binary offset carrier modulation (time division data modulation - binary offset carrier, TDDM - BOC) type of subcarrier signal blind identification and blind parameter estimation problem, an improved method based on cyclic spectrum envelope.
49450 该方法首先建立副载波分别为正弦和余弦时的TDDM-BOC信号模型， This method firstly establish a subcarrier sine and cosine respectively when the TDDM - BOC signal model,
49451 然后推导其对应的循环谱包络， and then deduces the corresponding cyclic spectrum envelope,
49452 最后通过在循环频率域的一维搜索即可完成副载波的类型识别以及伪码速率和副载波速率的盲估计。 at last, by one-dimensional search in cyclic frequency domain subcarrier can be completed through type identification and blind estimation of pn code rate and subcarrier rate.
49453 仿真分析表明，对于TDDMBOC(10，5)信号，该方法能在低信噪比下对副载波类型进行有效识别并且实现伪码速率、副载波速率的有效估计。 Simulation analysis shows that for TDDMBOC (10, 5) signals, this method can under low SNR of subcarrier types effectively identify and implement effective estimation of pn code rate, subcarrier rate.
49454 针对装备保障任务的优化调度问题，首先进行静态建模，提出了一个新的数学规划模型， For optimization of the equipment support task scheduling problem, first of all to the static modeling, a new mathematical programming model is put forward,
49455 能够有效描述保障单元的力量配置及与保障对象的指派关系等复杂约束条件; effective power to describe security unit configuration and complex constraints, such as relationship between security objects assigned;
49456 随后实施动态建模，利用混合Petri网把数学模型转换为流程模型， Then the dynamic modeling, the use of hybrid Petri nets to transform the mathematical model for the process model,