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。     

高校教师薪酬激励机制探讨

如何增强薪酬分配的激励性是目前我国高校人事制度改革的重点。通过调查国内不同地区、不同类型的40多所高校有关薪酬与考核制度的信息和资料，深入探讨了我国高校教师薪酬激励状况和薪酬激励机制的特殊性。调查表明，目前我国高校教师的薪酬体系为三元结构，薪酬激励机制普遍采用3P模式。     

数控车床长度补偿功能的使用研究

数控车床上坐标指令（G92、G54～G59）与刀具长度补偿功能（Txxyy,调用xx号刀具和yy号刀补）不能同时使用,当调用后者时,前者指定的工件原点自动失去作用,与数控铣床上两者的使用方法不同.数控车床的对刀方法有其特殊性.本文介绍数控车床上对刀操作,长度补偿值的设置方法,说明长度补偿与编程坐标系原点的关系,长度补偿功能的使用技巧.     

微特电机全温度自动补偿原理及参数的确定

设计了全温度自动补偿电路，提高微特电机主要性能指标的温度稳定性．它的工作原理简单；电路参数的确定采用计算机辅助计算方法——具有连续延伸和自动改变初值的加速寻优的单纯形方法，不仅快捷、准确，而且稍加修改也可适用于任何多元非线性方程组的求解     

巨型晶闸管在大型直流电动机拖动中的应用

巨型晶闸管在国内首次成功地用于大型风洞的动力系统──大型直流电动机拖动系统中，使大型直流拖动的控制系统简化，１０００—３０００ｋＷ系统简化到一个三相全控桥式整流电路，或两个三相全控桥式整流电路并联输出的技术问题上，而且由于系统简单化，潜在的故障因素减少，可靠性增强，维护的工作量也大大减少。本文介绍风洞动力控制系统的实用调速方法，以及用计算机控制速压的方法。     

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.     

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。     

基于改进的卷积神经网络的步态识别

为了提高惯性传感器采集到的序列数据中步态识别的准确率,建立了一个激励层改进的卷积神经网络(CNN)模型。针对三轴加速度传感器对运动太过敏感导致步态周期划分不准确的问题,采用加速度传感器与弯曲度传感器组合获取人体运动信息。将CNN模型中激励层的线性整流函数(ReLU)改进为带泄露线性整流函数(Leaky ReLU),以解决遇到卷积输出数据小于0时神经元被抑制的问题,进而达到提高步态识别准确率的目的。实验结果表明激励层优化的CNN模型在行走、上下楼和上下坡五种步态模式下识别率达到了95.79%,与未采用弯曲度传感器的改进CNN模型和未进行激励层改进的CNN模型相比,步态识别率有所提高。     

空军武器装备系统作战效能评估方法探讨

空军武器装备系统,一般认为由飞机装备,雷达装备和防空武器装备三大部分组成,对于单一武器装备的作战效能的分析方法,已有很多相关理论,对于上述三个部分构成的武器装备（总）系统的作战效能的评估方法,采用什么样的数字模型,进行哪些方面的判断决策,如何根据蓝方现有（或假想）武器装备对应求解红方现有（或假想）武器装备的最优配置方案等等,是本文所要讨论的问题。