ID 原文 译文
49146 针对宽带侦察接收机提出了一种新的基于压缩感知(compressed sensing,CS)的无模糊测量来波方向方法,采用非均匀阵列的空域欠采样特性及空域谱的稀疏特性,构造无模糊宽带测向的CS模型,利用基追踪降噪算法估计无模糊的空域响应,实现了最小阵元间距都无法满足空域Nyquist采样情况下的方向角无模糊估计,为了提高所提方法对噪声的鲁棒性及多信号处理能力,提出了快速傅里叶变换频域预处理和CS相结合的宽带测向方法,仿真结果验证了所提方法较直接CS方法具有更高的测向精度和更好的鲁棒性。 For broadband reconnaissance receiver is proposed based on a new compression perception (compressed sensing, CS) no fuzzy measure to wave direction method, using nonuniform arrays of airspace undersampling characteristics and spatial spectrum sparse feature, structure without the CS model of fuzzy wideband direction finding, base track noise reduction algorithm is used to estimate the airspace without fuzzy response, to achieve the minimum array element spacing can satisfy the airspace Nyquist sampling direction Angle under the circumstance of no fuzzy estimation, in order to improve the robustness of the proposed method of noise and signal processing ability, put forward the fast Fourier transform frequency domain method combining wideband direction finding of pretreatment and CS, simulation results demonstrate the proposed method is more direct CS method has higher precision of direction finding and better robustness.
49147 传感器-目标分配问题是防空系统传感器管理的一项重要研究内容。 Sensor target assignment problem is air defense system is an important research content of sensor management.
49148 对面向跟踪的防空系统传感器-目标分配问题进行了研究,结合主客观分配原则,利用0-1整数规划模型对问题进行了建模,约束主要考虑传感器的跟踪能力和目标的被执行跟踪容量。 On the tracking system for air defense sensors - target assignment problem is studied, the allocation of the combination of subjective and objective, using 0-1 integer programming model to the modeling problem, constraint main consideration sensor tracking ability and target tracking capacity is carried out.
49149 构造了一种协同memetic粒子群优化(particle swarm optimization,PSO)算法,分别采用PSO算法和邻域搜索算法作为全局搜索和局部搜索。 To construct a collaborative memetic particle swarm optimization (particle swarm optimization, PSO) algorithms, respectively, using PSO algorithm and the neighborhood search algorithm as a global search and local search.
49150 为了在粒子位置矢量中反映出传感器组合,根据问题设计了一种特殊的粒子编码方法。 In order to reflect the sensor combination in the particle position vector, according to the problem a kind of special particle encoding method is designed.
49151 最后通过仿真实验验证了算法的合理性和有效性。 Finally the rationality and validity of the algorithm is verified by simulation experiments.
49153 针对机电作动的飞机防滑刹车模型具有的高阶非线性及参数时变特点，提出一种基于障碍Lyapunov函数的动态面控制方法，实现对滑移率的上界约束，保障防滑刹车系统的稳定性。 In view of the electromechanical actuation model of aircraft antiskid brake with high order nonlinear and parameter time-varying characteristics, puts forward a kind of dynamic surface control method, based on obstacles Lyapunov function for the sliding rate of the upper bound constraint, guarantee the stability of the anti-skid braking system.
49154 建立飞机刹车动力学模型，与机电作动器的数学模型联立得到整体刹车系统的状态空间模型，并合理简化为严格反馈形式。 Aircraft braking kinetics model is set up, and the mathematical model of electromechanical actuator simultaneous get whole state space model of braking system, and reasonable simplified as strict feedback form.
49155 将刹车系统的控制稳定性问题等效描述为含输出约束的非线性系统镇定问题，设计动态面控制律并通过Lyapunov方法证明滑移率跟踪误差半全局一致最终有界，刹车工作点始终保持在稳定区域内。 Described braking system control stability problem equivalent to contain output constraint stabilization problem of nonlinear systems, dynamic surface control law design and slip rate of the tracking error is proved by the Lyapunov method and a half globally uniformly ultimately bounded, and the brake point are always stay in the stable region.
49156 仿真结果表明，本文所提控制策略具有稳定性优势，且改善了传统控制存在的中低速时滑移率振荡问题，控制效果有显著提升。 The simulation results show that the stability of the proposed control strategy has the advantage, and improve the traditional control the problem of low speed when the slip ratio of oscillation of the control effect has been increased significantly.