基于多普勒频率反投影的NCW-SAR动目标成像方法

传统合成孔径雷达(Synthetic aperture radar,SAR)成像依赖大带宽发射信号,研究证明SAR也可利用窄带连续波形(Narrowband continuous wave,NCW)具有的高多普勒分辨率实现场景的高分辨成像。NCW-SAR成像的优势在于占有很少的频带资源、降低系统成本和规模,更适用于通常带宽较窄的利用外辐射源波形的无源SAR。文中首先指出NCW-SAR的应用前景,简要回顾窄带动目标成像的发展,并分析NCW-SAR成像技术的现状。然后给出通用的SAR回波模型,提出NCW-SAR动目标成像方法,实现静止场景中动目标的聚焦,获得目标的速度估计,并分析速度分辨率。实验验证了NCW-SAR动目标成像方法的有效性。     

大面积石墨烯薄膜转移技术研究进展

化学气相沉积法合成的石墨烯薄膜在实现石墨烯产业化应用过程中,依赖于大面积薄膜转移技术的突破性进展。本文按照中介物过渡转移法、直接干法和湿法转移法、大规模卷对卷转移法分类介绍了现有的30多种石墨烯薄膜转移方法,从微观机理到宏观实现方法对比了三类方法的优缺点和适用范围:中介物过渡转移法主要用于实验室阶段科学探索,转移后的薄膜质量高但尺寸小;直接干法和湿法转移法减少了中介物过渡流程,但仍处于小试阶段;大规模卷对卷转移法借鉴了半导体薄膜工业成熟的卷对卷技术,实现了米级尺寸薄膜的高效和可重复性转移,是目前批量化转移石墨烯薄膜的最有效途径。     

分区操作系统远程系统浏览器

满足ARINC 653标准的嵌入式实时分区操作系统内部提供了多种系统对象,远程系统浏览器是系统开发者在宿主机端查看这些系统对象的最简便快捷的开发工具。描述了分区操作系统信息组织形式和远程信息协议及远程系统浏览器的工作流程。提出了一种基于Eclipse和RSE的远程系统浏览器的系统结构,以及各结构部分的功能。方便系统开发者在宿主机端交叉开发在目标机上运行的分区操作系统系统软件及应用软件。     

A novel variable structure multi-model approach based on error-ambiguity decomposition

Model Set Adaptation (MSA) plays a key role in the Variable Structure Multi-Model tracking approach (VSMM). In this paper, the Error-Ambiguity Decomposition (EAD) principle is adopted to derive the EAD-MSA criterion that is optimal in the sense of minimizing the square error between the estimate and the truth. Consequently, the EAD Variable Structure first-order General Pseudo Bayesian (EAD-VSGPB1) algorithm and the EAD Variable Structure Interacting Multiple Model (EAD-VSIMM) algorithm are constructed. The proposed algorithms are tested in two groups of maneuvering target tracking scenarios under different modes and observation error conditions. The simulation results demonstrate the effectiveness of the EAD-VSMM approach and show that, compared to some existing multi-model algorithms, the proposed EAD-VSMM algorithms achieve more robust and accurate tracking results.     

超音速靶机的总体设计与研究CSCD

根据武器系统试验需求,提出了超音速靶机的总体技术要求。按照飞行器设计的基本流程,完成了某型超音速靶机的总体设计,对该型靶机的动力系统、气动布局、气动特性等方面进行了详细设计,并对主要飞行性能进行了计算,为超音速靶机的工程实现打下了基础。     

水下无线传感器网络目标定位算法

提出了一种基于目标位置的定位转换算法,通过对水下声波传播衰减的研究,推导出距离与声强度的公式,进一步由节点接收到目标强度信息计算出节点与目标的距离进行定位。当目标处在水下传感器网络内部时,根据节点接收到信号强度的大小,进行加权质心定位算法。为解决三维坐标系下目标深度的计算,通过在海面设置大功率骨干节点,通过主动探测声呐测得目标的距离与角度,从而计算出目标深度。仿真验证表明,本文算法的有效性。     

DRFM在高度信号模拟中的应用及关键技术研究CSCD

介绍了一种无线电高度表高度信号模拟方法,该方法利用DRFM能复制射频信号细微特征的技术特点,实现了模拟高度的连续可调和在高度信号上叠加干扰信息,重点介绍了采用的采样数据循环存储技术、数字噪声调制技术和多目标产生技术等关键技术。     

岛礁环境下空舰导弹搜索航向优选

针对空舰导弹打击岛礁区水面舰艇目标问题,由岛礁与目标的相对位置关系,将导弹搜索航向划分为 4个区域,界定了降低岛礁影响的区域;从岛目距离、弹载雷达搜索扇面、开机距离、最小间隔角等方面,研究了空舰导弹搜索航向计算方法。通过仿真实验,分析了不同最大间隔角和岛目距离情况下的空舰导弹搜索航向优选方法。     

基于CPHD的双层粒子滤波目标跟踪算法

常规基于势概率假设密度滤波(Cardinalized Probability Hypothesis Density,CPHD)的粒子滤波(Particle Fil? ter,PF)跟踪算法应用于多目标跟踪时,容易遇到因粒子数量增加而带来的运算效率下降、目标数目估计不准的问题。文章基于常规粒子滤波 CPHD跟踪算法,通过部署双层粒子,提出基于势概率假设密度滤波的双层粒子滤波 (Two-Layer Particle Filter-CPHD,TLPF-CPHD)算法,以便提高目标数目及状态估计精度。仿真实验结果证明,相比于常规 PF-CPHD算法,新算法具有更好的目标数目和状态估计准确性。     

Adaptive double chain quantum genetic algorithm for constrained optimization problems

Optimization problems are often highly constrained and evolutionary algorithms(EAs)are effective methods to tackle this kind of problems. To further improve search efficiency and convergence rate of EAs, this paper presents an adaptive double chain quantum genetic algorithm(ADCQGA) for solving constrained optimization problems. ADCQGA makes use of doubleindividuals to represent solutions that are classified as feasible and infeasible solutions. Fitness(or evaluation) functions are defined for both types of solutions. Based on the fitness function, three types of step evolution(SE) are defined and utilized for judging evolutionary individuals. An adaptive rotation is proposed and used to facilitate updating individuals in different solutions.To further improve the search capability and convergence rate, ADCQGA utilizes an adaptive evolution process(AEP), adaptive mutation and replacement techniques. ADCQGA was first tested on a widely used benchmark function to illustrate the relationship between initial parameter values and the convergence rate/search capability. Then the proposed ADCQGA is successfully applied to solve other twelve benchmark functions and five well-known constrained engineering design problems. Multi-aircraft cooperative target allocation problem is a typical constrained optimization problem and requires efficient methods to tackle. Finally, ADCQGA is successfully applied to solving the target allocation problem.