一种新的针对模型误差所致滤波发散的补偿方法

系统模型误差是导致卡尔曼滤波发散的一个很重要的原因,分析了衰减记忆法和限定记忆法两种对模型误差所致滤波发散的补偿方法,通过引入阈值可以将这两种方法进行有机结合,给出了一种新的衰减限定记忆算法。算例分析验证了衰减限定记忆算法在抑制滤波发散方面具有比衰减记忆和限定记忆法更好的性能,并能自适应调整算法所需观测数据数目。     

Body armour – New materials,new systems

This is a very timely review of body armour materials and systems since new test standards are currently being written, or reviewed, and new, innovative products released. Of greatest importance, however, is the recent evolution, and maturity, of the Ultra High Molecular Weight Polyethylene fibres enabling a completely new style of system to evolve – a stackable system of Hard Armour Plates. The science of body armour materials is quickly reviewed with emphasis upon current understanding of relevant energy-absorbing mechanisms in fibres, fabrics, polymeric laminates and ceramics. The trend in on-going developments in ballistic fibres is then reviewed, analysed and future projections offered. Weaknesses in some of the ceramic grades are highlighted as is the value of using cladding materials to improve the robustness, and multi-strike performance, of Hard Armour Plates. Finally, with the drive for lighter, and therefore smaller, soft armour systems for military personnel the challenges for armour designers are reported, and the importance of the relative size of the Hard Armour Plate to the Soft Armour Insert is strongly emphasised.     

逐步Ⅰ型混合截尾试验下Burr部件的可靠性分析

在逐步Ⅰ型混合截尾试验下,研究了Burr部件寿命参数及可靠性指标的极大似然估计和Bayes估计.利用简单迭代方法,给出了寿命参数和可靠性指标的极大似然估计的数值解.然后利用Lindely Bayes近似算法得到了平方损失下寿命参数以及可靠性指标的Bayes估计.最后,运用Monte-Carlo方法对各估计结果作了模拟比较,结果表明Bayes估计较极大似然估计的误差小.     

Robust adaptive UKF based on SVR for inertial based integrated navigation

Aiming at the problem that the traditional Unscented Kalman Filtering (UKF) algorithm can’t solve the problem that the measurement covariance matrix is unknown and the measured value contains outliers, this paper proposes a robust adaptive UKF algorithm based on Support Vector Regression (SVR). The algorithm combines the advantages of support vector regression with small samples, nonlinear learning ability and online estimation capability of adaptive algorithm based on innovation. Firstly, the SVR model is trained by using the innovation in the sliding window, and the new innovation is monitored. If the deviation between the estimated innovation and the measured innovation exceeds a given threshold, then measured innovation will be replaced by the predicted innovation, and then the processed innovation is used to calculate the measurement noise covariance matrix using the adaptive estimation algorithm. Simulation experiments and measured data experiments show that SVRUKF is significantly better than the traditional UKF, robust UKF and adaptive UKF algorithms for the case where the covariance matrix is unknown and the measured values have outliers.     

海上编队雷达网近程协同抗ARM方法与仿真

根据反辐射导弹（ARM）攻击时捕捉目标的局限性,提出了海上编队雷达网利用编队内各平台之间的间距优势来协同抗ARM的方法,建立了海上编队雷达网在近程距离内协同抗ARM的能力评估模型和对抗行为模型。其中,能力评估模型可以对海上编队雷达网抗ARM的能力进行评估。舰艇编队在面临ARM威胁时,通过对上述两个模型结合使用,可以对ARM实施有效诱偏。仿真试验结果表明,所建立模型具有一定的可行性和正确性。     

复杂系统理论对作战实践的指导

比较研究了机械模式与复杂系统模式的两种作战系统观,分析了复杂系统的整体性、非线性、开放性、自适应性、不确定性等特点。然后,根据作战系统是一复杂系统这一基本观点,并以复杂系统理论为指导,探讨了作战中的指挥控制、进攻作战、防御作战的一些基本策略。     

基于MATLAB／SIMULINK的某型高炮伺服系统的仿真研究

伺服系统是高炮系统的重要组成部分.基于MATLAB环境中的SIMULINK仿真软件,对某型高炮伺服系统进行了动态仿真和分析,仿真结果可用来指导实际系统的参数调整.     

LabWindows／CVI环境下的仪器驱动器开发

研究了VPP下的仪器驱动器、软面板和安装程序等的功能和特性,并结合寄存器基VXI多路开关模块的研制,说明了在LabWindows/CVI环境下开发仪器驱动器的一般方法与研制过程.     

水体富营养化危害、成因及防治

水体富营养化严重影响人类健康、可用水量、水体经济价值和水体寿命,而大量污水超标排放、农业面源污染、水产养殖业失当、周边环境恶化和底泥氮磷溶出是其形成主因。在治理和恢复富营养化水体的实践中,必须强化污染预防意识,从源头上削减污染负荷,同时选用切实可行、系统协调、针对性强的政策和措施并长期坚持实施,才能起到事半功倍的效果。     

基于数据分发服务的无人机任务载荷综合仿真平台研究

现代无人机在军用、民用等领域都有着越来越广泛的应用,而载荷是无人机完成特定重要任务的必要设备,对载荷设备的选型和验证是非常重要的一个环节.针对无人机载荷选型以及载荷试验过程复杂、试验周期长、试验成本高的问题,设计了一种基于数据分发服务通信技术的无人机任务载荷综合仿真平台.该平台以载荷仿真为主体,同时结合任务仿真、通信仿...