等行频采样方式下的红外图像帧重建仿真研究

为了有效提高红外图像的分辨率,充分利用红外器件获得的扫描数据和相应的空间信息,文中重点研究了基于圆锥扫描的等行频采样方式下红外图像帧重建仿真。在介绍圆锥扫描机制下基于等行频采样机理的红外图像完整重建技术的基础上,进行了大量的重建图像仿真。仿真研究结果表明,这种技术能够获得较高分辨率的红外图像。     

SAR间歇采样散射波干扰

提出一种新的合成孔径雷达（SAR）干扰方法：SAR间歇采样散射波干扰。将间歇采样转发干扰和散射波干扰结合, 实现携带真实目标散射信息的多假目标干扰。间歇采样转发干扰能实现在波形捷变SAR当前脉冲内及时转发进行对抗,而散射波干扰携带真实目标在方位向的多普勒调制散射信息。本方法将两者的优势结合,使干扰具备对抗波形捷变SAR的潜力,是一种巧妙的干扰样式。这为实现对波形捷变SAR干扰提供了一种可行的途径。仿真实验验证了该干扰方法的可行性和有效性。     

Markov随机跳变系统的传感器系统误差估计

 针对Markov随机跳变系统的系统误差估计问题,提出一种基于马尔可夫链蒙特卡罗(MCMC)和最大似然估计相结合的在线系统误差估计方法。利用最大似然估计给出系统误差等效后验概率分布函数,采用Metropolis-Hastings抽样方法从该概率分布函数中进行抽样;利用系统误差估计和状态估计互为因果的关系,采用期望极大化(EM)方法迭代估计出最优的系统误差;分别对时变和时不变系统误差场景进行仿真分析,结果表明,在考虑系统误差统计特性的同时,所提方法对解决目标运动模型难以建立情况下的系统误差估计问题具有可行性和有效性。     

Influence of lunar regolith compressibility on sampling performance of thick wall spiral drills

A 2 m class robotic drill was sent to the Moon and successfully collected and returned regolith samples in late 2020 by China. It was a typical thick wall spiral drill (TWSD) with a hollow auger containing a complex coring system to retain subsurface regolith samples. Before the robotic drill was launched, a series of laboratory tests were carried out to investigate and predict the possible drilling loads it may encounter in the lunar environment. This work presents how the sampling performance of the TWSD is affected by the regolith compressibility. Experiments and analysis during the drilling and sampling process in a simulated lunar regolith environment were conducted. The compressibility of a typical lunar regolith simulant (LRS) was measured through uni-directional compression tests to study the relationship between its inner regolith stress and bulk density. A theoretical model was established to elucidate the cutting discharge behavior by auger flights based on the aforementioned relationship. Experiments were conducted with the LRS, and the results show that the sampling performance is greatly affected by the flux of the drilled cuttings into the spiral flight channels. This work helped in scheduling reasonable drilling parameters to promote the sampling performance of the robotic drill in the Chinese Chang'E 5 mission.     

采样量化与滤波对圆锥补偿算法影响对比分析

研究了圆锥运动情况下陀螺角增量采样量化对姿态误差的影响, 对比分析 了单子样算法、三子样扩展频率级数算法和三子样显式频率整形算法,理论推导给出陀 螺角增量分辨率造成的量化误差方差和圆锥算法姿态误差方差间关系的理论表达式。推 导公式及蒙特卡罗仿真结果表明,除通过脉冲细分提高陀螺角增量分辨率外,低通滤波 和提高姿态更新频率也可减小量化误差对姿态解算的误差影响。     

基于PC／104总线的交流信号采集方法

介绍了一种用DIAMOND-MM-16-AT采集卡构建的基于PC 104总线的高速数据采集系统采集交流信号的方法,详细说明了采集卡的设置及初始化方法、变量定义及利用多线程、双缓冲区技术实现数据的高速采集和存储的方法,最后给出了滤波和计算交流有效值的算法。     

一种新的矩独立重要性测度分析方法及高效算法

为了更加合理地分析输入随机变量对结构系统失效概率的影响,提出了一种新的矩独立重要性测度分析方法。传统的重要性测度指标只能估计输入随机变量在固定点时对结构系统输出响应的影响,而所提新指标能够充分反映输入随机变量在其分布区域的所有缩减区间上变化时对结构系统输出响应的平均影响程度,更加符合工程实际。为了求解新指标,给出了2种算法:传统的双层重复抽样蒙特卡罗（DLRS MC）方法和自适应超球重要抽样（ARBIS）方法。双层重复抽样蒙特卡罗方法计算结果可以作为对比参照解,但求解效率较低,计算量很大;自适应超球重要抽样方法在满足新指标求解精度的前提下,计算效率得到很大提高。应用数值算例和工程算例证明了所提新指标的意义和所提新算法的高效性。      

A novel cooperative mid-course guidance scheme for multiple intercepting missiles

In the interception engagement,if the target movement information is not accurate enough for the mid-course guidance of intercepting missiles,the interception mission may fail as a result of large handover errors.This paper proposes a novel cooperative mid-course guidance scheme for multiple missiles to intercept a target under the condition of large detection errors.Under this scheme,the launch and interception moments are staggered for different missiles.The earlier launched missiles can obtain a relatively accurate detection to the target during their terminal guidance,based on which the latter missiles are permitted to eliminate the handover error in the mid-course guidance.A significant merit of this scheme is that the available resources are fully exploited and less missiles are needed to achieve the interception mission.To this end,first,the design of cooperative handover parameters is formulated as an optimization problem.Then,an algorithm based on Monte Carlo sampling and stochastic approximation is proposed to solve this optimization problem,and the convergence of the algorithm is proved as well.Finally,simulation experiments are carried out to validate the effectiveness of the proposed cooperative scheme and algorithm.     

SAR图像分割的Bootstrap广义多分辨似然比检验方法

提出广义多分辨似然比（generalized multiresolution likelihood ratio，简称GMLR）的概念，给出其Bayes准则下的假设检验和判别准则。GMLR能融合待判别信号的多个特征量，增大不同信号的区分度，所以能更精确地对信号进行判别分析。在SAR（synthetic aperture radar）图像分割的应用背景中，首先用弃除图像冗余信息，减小计算量的Bootstrap样本得到GMLR的原假设和备择假设参数的极大似然估计，然后检测GMLR的分割阈值，最后对森林和草地组成的模拟图像和真实SAR图像分割，证明该方法是SAR图像分割的一个有效途径。