A two-step weighted least-squares method for joint estimation of source and sensor locations: A general framework

It is well known that the Two-step Weighted Least-Squares(TWLS) is a widely used method for source localization and sensor position refinement. For this reason, we propose a unified framework of the TWLS method for joint estimation of multiple disjoint sources and sensor locations in this paper. Unlike some existing works, the presented method is based on more general measurement model, and therefore it can be applied to many different localization scenarios.Besides, it does not have the initialization and local convergence problem. The closed-form expression for the covariance matrix of the proposed TWLS estimator is also derived by exploiting the first-order perturbation analysis. Moreover, the estimation accuracy of the TWLS method is shown analytically to achieve the Cramér-Rao Bound(CRB) before the threshold effect takes place. The theoretical analysis is also performed in a common mathematical framework, rather than aiming at some specific signal metrics. Finally, two numerical experiments are performed to support the theoretical development in this paper.     

Measurement of mass diffusion coefficients of O_2 in aviation fuel through digital holographic interferometry

The experimental apparatus to measure the mass diffusion coefficients of O2 in aviation fuel was constructed based on the digital holographic interferometry method. The theory of mass diffusion coefficient and interference image processing were introduced in detail. The accuracy of the experiment was verified by measuring the mass diffusion coefficient of 0.33 mol/L KCl in aqueous solution at 298.15 K. The mass diffusion coefficients of O_2 in RP3 and RP5 aviation fuels were measured at temperature from 278.15 K to 333.15 K, and the Arrhenius equation was employed to fit the experimental data. In terms of the Stokes-Einstein equation, the viscosities of these two aviation fuels were tested to estimate the correlation among mass diffusion coefficient, viscosity and temperature. A uniform polynomial calculation correlation was proposed to predict the mass diffusion coefficients of O_2 in both RP3 and RP5 aviation fuels, and its accuracy is considerably higher than that of the Stokes-Einstein equation.     

表面处理对聚酰亚胺柔性复合材料粘结性能的影响

使用聚酰亚胺(PI)膜和PI纤维编织布制备深空探测用柔性织物复合材料,研究表面处理对PI膜和PI纤维编织布之间粘结性能的影响。采用自制表面处理剂分别对PI膜和PI纤维编织布的表面进行处理,再经硅橡胶胶黏剂粘结制备柔性复合材料。使用T剥离强度试验方法测试柔性织物复合材料的层间胶接性能,并分析复合材料剥离面的形貌状态。结果显示,PI膜和PI织物的表面处理可以显著提高柔性织物复合材料的T剥离强度。其中,PI膜和PI织物未经表面处理时,柔性织物复合材料的T剥离强度为8.9 N/cm。对PI膜进行表面处理,或者对PI膜和PI织物均进行表面处理的情况下,柔性织物复合材料的T剥离强度增加至11.7 N/cm和12.8 N/cm,分别提高了31.5%和43.8%。这表明对PI膜及PI织物进行合理的表面处理,可以显著提高柔性织物复合材料的胶接性能。     

桁架结构的静动态特性有限元分析

通过对桁架结构的静、动态分析,探讨如何建立桁架的有限元模型及计算方法,并利用MSC．Patran／Nastran程序对该结构进行静、动态分析计算,计算结果与实际情况吻合。     

低频电连接器检测方法研究CSCD

本文主要阐述了低频电连接器外观检测和电性能测试中的接触电阻、绝缘电阻和介质耐电压的检测方法及其注意事项,提出为满足武器系统对低频电连接器耐恶劣环境、高可靠的特殊需求,有效保证武器型号系统中电连接器的质量,必须规范低频电连接器外观及电性能指标检测标准。本文可为从事低频电连接器检测工作的人员提供参考。     

基于双力源的叠加式多维力传感器校准装置研究CSCD

介绍了一种基于叠加机原理的双力源多维力传感器校准装置的设计与研制,对装置的测量不确定度进行了分析,通过对三分量力传感器的校准实验,证明了校准装置不仅可以对多分量力传感器进行单分量校准,还能方便地实现耦合误差的校准。     

新型冗余双目PNP摄影定位方法研究CSCD

介绍了一种新型冗余双目PNP摄影定位方法。该测试方法,通过建立图像坐标系、摄像机坐标系和世界坐标系的关系,并通过坐标转换可以求出被测物体的三维绝对位置,从而实现了视觉定位。与单目摄影定位方法相比,该定位测试方法具有定位精度高,可靠性好,并可应用于其他相关领域。     

基于里德堡原子相干效应的微波电场测量技术研究进展

近年来,采用里德堡原子的微波电场测量技术得到了迅速发展,获得了广泛应用。该电场探测技术是一项全新技术,可以将微波电场通过基本物理常数与频率测量直接关联,具有测量动态范围大、测量灵敏度高和测量不确定度小的特点,有望替代传统溯源路径,直接关联国际单位制（SI）。本文基于里德堡原子相干效应的微波电场测量技术原理,针对国内外微波电场的高准确度、高灵敏度和极化方向测量技术发展现状,和对微波电场测量的工程化光源系统,蒸气室探头的仿真验证实验和集成式蒸气室探头的设计研究等方面的相关进展做了详细介绍。     

下肢康复机器人动力学建模约束违约抑制

U-K理论为获得约束多体系统的解析动力学方程提供了新的理念,但由于数值近似和截断误差等因素的影响,动力学方程在位置和速度层面上存在约束违约。Baumgarte约束违约稳定法（BSM）通过约束修正得到稳定的动力学方程。然而,Baumgarte参数的选择通常涉及一个试错过程,可能会出现失效的仿真结果。为此,利用经典的四阶Runge-Kutta法研究了Baumgarte参数选取问题,创建了基于BSM修正后的U-K理论的机器人系统解析动力学方程。以下肢康复机器人为研究对象仿真分析,结果表明:利用所提方法可以有效抑制约束违约,关节角度误差控制在-5×10-3（°）~5×10-3（°）范围内;关节角速度误差控制在-2×10-4~2×10-4 rad/s范围内;机器人末端执行器运行轨迹能够很好地贴近系统预定的目标。