中小型企业建立生产计划优化线性规划模型的通用模式

本文提出了建立企业生产计划优化线性规划模型中约束方程的通用方法。简化了建模过程。并经多个企业的实际应用证明了其普遍适用性。为中小型企业建立生产计划优化线性规划模型提供了一个通用模式。     

未知互耦条件下混合信号波达方向估计

阵列天线互耦对导向矢量的扰动以及信号相干性对数据协方差矩阵造成的秩损,使得基于子空间正交性原理的超分辨波达方向估计(Direction-of-Arrival,DOA)算法性能恶化,甚至失效。针对这一问题,提出一种在相干与非相干信号混合状态下无需阵列互耦补偿的特征矢量平滑DOA估计算法。该算法对部分阵元接收数据的协方差矩阵特征分解,将得到的特征矢量平滑处理后构造等效协方差矩阵,抑制阵列互耦影响的同时完成混合信号DOA估计。在阵列互耦和信号相干性均未知的条件下,正确估计了信号DOA,无需互耦参数估计或补偿。计算机仿真结果验证了算法的有效性。     

基于STFRFT的LFM引信抗欺骗干扰方法

针对线性调频脉冲压缩引信易受转发式假目标欺骗干扰问题,提出了基于短时分数阶傅立叶变换(STFRFT)的抗欺骗干扰方法。首先,通过分数阶傅立叶变换将回波信号与欺骗干扰各分量信号进行分离;再利用相同调频率的LFM信号经短时分数阶傅立叶变换后最大幅值与窗函数宽度成线性关系,而不同调频率的最大幅值不随窗函数宽度变化的特点,有效分辨假目标欺骗干扰,正确检测目标回波信号;最后,通过仿真证明了方法的正确性,并验证所提方法具有良好的抗欺骗干扰效果。     

相控斜侧面阵AEW雷达时空二维自适应杂波抑制

在分析了斜侧面阵与地面反射点几何关系的基础上建立了地面杂波回波的信号模型，利用这一杂波模型采用构造矩阵的方法对杂波子空间进行了分析，得到了杂波子空间的主要特征，给出了二维杂波谱和最优处理器性能的仿真结果。     

Modeling and analysis of mover gaps in tubular moving-magnet linear oscillating motors

A tubular moving-magnet linear oscillating motor (TMMLOM) has merits of high efficiency and excellent dynamic capability. To enhance the thrust performance, quasi-Halbach permanent magnet (PM) arrays are arranged on its mover in the application of a linear electro-hydrostatic actuator in more electric aircraft. The arrays are assembled by several individual segments, which lead to gaps between them inevitably. To investigate the effects of the gaps on the radial magnetic flux density and the machine thrust in this paper, an analytical model is built considering both axial and radial gaps. The model is validated by finite element simulations and experimental results. Distributions of the magnetic flux are described in condition of different sizes of radial and axial gaps. Besides, the output force is also discussed in normal and end windings. Finally, the model has demonstrated that both kinds of gaps have a negative effect on the thrust, and the linear motor is more sensitive to radial ones.     

椭圆振动切削加工的同步控制研究

利用椭圆振动切削加工的回转体表面微织构是在机床主轴旋转、平台进给和装置椭圆振动的联合运动下得到的,机床主轴转动与装置位移输出如果不能保持完全的实时同步,会造成微织构加工的偏差。为了解决这一问题,提出了一种新的基于转角的同步控制方法,该方法在主轴的对位基准处实现装置正弦信号的复位,以修正转速漂移造成的加工位置误差,并通过判断主轴角度信号实时输出对应幅值电压来实时同步信号输出和机床旋转运动。基于LabVIEW FPGA搭建同步控制模块,经试验验证,利用该方法加工的矩形阵列微织构轴向排列与中轴线平行,与周向排列的夹角和仿真结果的偏差不超过0.1°,织构深度随转角的不同发生预设的变化,因此,同步控制方法具有实时同步控制椭圆振动切削装置的能力。     

碳纳米管阵列推力器放电特性的数值模拟研究

基于直接蒙特卡洛(DSMC)算法、浸入式有限元算法(IFE)、粒子云及蒙特卡洛碰撞(PIC-MCC)算法以及Ammosov-Delone-Krainov(ADK)隧穿电离模型建立了碳纳米管阵列推力器工质气体和CNT场电离过程的三维仿真模型。利用文献中的实验数据对本文仿真模型的有效性进行了验证,结果表明本文仿真模型与实验结果基本一致。针对碳纳米管阵列推力器的放电特性进行了研究,并重点分析了离子与原子碰撞过程对碳纳米管阵列推力器放电特性的影响。结果表明CNT可以极大地增强局部电场,稳态时场增强因子约为1308;与原子的碰撞使得离子在CNT附近更加集中,降低了局部电场,进而降低了其场增强能力。     

Direct position determination using single moving rotating linear array: Noncoherent and coherent processing

To improve the resolution and accuracy of Direct Position Determination (DPD), this paper investigates the problem of positioning multiple emitters directly with a single moving Rotating Linear Array (RLA). Firstly, the geometry of the RLA is formulated and analysed. According to its geometry, the intercepted noncoherent signals in multiple interception intervals are modeled. Correspondingly, the MUltiple SIgnal Classification (MUSIC) based noncoherent DPD approach is proposed. Secondly, the synchronous coherent pulse signals are individually considered and formulated. And the coherent DPD approach which aims for localizing this special type of signal is presented by stacking all array responses at different interception intervals. Besides, we also derive the constrained Cramér-Rao Lower Bound (CRLB) expression for both noncoherent and coherent DPD with RLA under the constraint that the altitudes of the emitters are known. At last, computer simulations are included to examine the performance of the proposed approach. The results demonstrate that the localization accuracy and resolution of DPD with single moving linear array can be significantly improved by the array rotation. In addition, coherent DPD with RLA further improves the resolution and increases the maximum emitter number that can be localized compared with the noncoherent DPD with RLA.     

一种地理围栏内无人机航迹跟踪方法

针对UTM体制中无人机在地理围栏内的飞行监视问题,提出一种约束状态相关模态转换混合估计算法(CSDTHE)。采用随机线性混杂系统模型对无人机运动状态进行建模,利用CV、CT和CA三种模态描述无人机的飞行状态,以构建地理围栏内无人机运行的通用模态转换模型框架。利用飞行模态改变点(FMCP)定义相关模态转换参数,设计模态转换条件,生成模态转换概率矩阵,从而建立与状态相关的模态转换模型。运用约束卡尔曼滤波(CKF)方法对直线阶段和转弯阶段的无人机运动速度分别施加等式约束,并通过仿真实验验证了CSDTHE算法对无人机跟踪的有效性。     

Direction finding for two-dimensional incoherently distributed sources with Hadamard shift invariance in non-uniform orthogonal arrays

This paper proposes a novel algorithm for Two-Dimensional (2D) central Direction-of-Arrival (DOA) estimation of incoherently distributed sources. In particular, an orthogonal array structure consisting of two Non-uniform Linear Arrays (NLAs) is considered. Based on first-order Taylor series approximation, the Generalized Array Manifold (GAM) model can first be established to separate the central DOAs from the original array manifold. Then, the Hadamard rotational invariance relationships inside the GAMs of two NLAs are identified. With the aid of such relationships, the central elevation and azimuth DOAs can be estimated through a search-free polynomial rooting method. Additionally, a simple parameter pairing of the estimated 2D angular parameters is also accomplished via the Hadamard rotational invariance relationship inside the GAM of the whole array. A secondary but important result is a derivation of closed-form expressions of the Cramer-Rao lower bound. The simulation results show that the proposed algorithm can achieve a remarkably higher precision at less complexity increment compared with the existing low-complexity methods, which benefits from the larger array aperture of the NLAs. Moreover, it requires no priori information about the angular distributed function.