基于EEMD方法的混合信号分离识别

针对宽开通信侦察系统中的多信号分离问题,提出了一种总体平均经验模式分解(EEMD)方法。首先对混合信号进行去噪,进行功率谱估计,然后利用EEMD方法对混合信号进行分解得到一簇本征模态函数IMF(Intrinsic Mode Function),对代表单个信号的IMF进行Hlibert变换,得到与各阶IMF相对应的瞬时频率,确定信号的个数,估计出其载波频率,设计出相应的带通滤波器,分离出单个信号。最后设计决策树对分离出的单个信号进行调制识别,确定信号的种类。文中以三个信号组合ASK、BPSK、2FSK为例,通过仿真验证了方法的有效性。     

基于HHM-RFRM的实弹发射风险分析研究

实弹发射是复杂的系统性军事训练活动,在实施前要对其进行风险评估,实施的全过程中要进行风险管理,首要工作是运用科学方法进行风险分析。本文运用系统工程的思想,针对实弹发射这一复杂系统活动,识别得到环境、交通、技术、管理、人员、任务、装备、保障和通信这9类风险情景,进一步分析建立了实弹发射风险等级全息模型（HHM）。在此基础上,运用风险过滤、评级与管理框架（RFRM）,通过初步情景过滤、双重标准过滤、多重标准过滤、主要风险情景的定量评级等步骤对以上风险情景进行过滤分析,得到了环境因素、装备因素和管理因素这3种最重要的风险因素。通过综合运用HHM和RFRM方法分析出的风险因素,能够为决策者进行有针对性的风险评估和风险管理提供一定理论支持。     

FE modeling of concrete beams and columns reinforced with FRP composites

Compression and flexure members such as columns and beams are critical in a structure as its failure could lead to the collapse of the structure. In the present work, numerical analysis of square and circle short columns, and reinforced concrete (RC) beams reinforced withfiber reinforced polymer composites are carried out. This work is divided into two parts. In thefirst part, numerical study of axial behavior of square and circular concrete columns reinforced with Glass Fiber Reinforced Polymer (GFRP) and Basalt Fiber Reinforced Polymer (BFRP)bars and spiral, and Carbon Fiber Reinforced Polymer (CFRP) wraps is conducted. The results of the first part showed that the axial capacity of the circular RC columns rein-forced with GFRP increases with the increase of the longitudinal reinforcement ratio. In addition, the results of the numerical analysis showed good correlation with the experimental ones. An interaction diagram for BFRP RC columns is also developed with considering various eccentricities. The results of numerical modeling of RC columns strengthened with CFRP wraps revealed that the number and the spacing between the CFRP wraps provide different levels of ductility enhancement to the column. For the cases considered in this study, column with two middle closely spaced CFRP wraps demonstrated the best performance. In the second part of this research,flexural behavior of RC beams reinforced with BFRP, GFRP and CFRP bars is investigated along with validation of the numerical model with the experimental tests. The results resembled the experimental observations that indicate significant effect of the FRP bar diameter and type ont he flexural capacity of the RC beams. It was also shown that Increasing the number of bars while keeping the same reinforcement ratio enhanced the stiffness of the RC beam.     

Multi-scale traffic vehicle detection based on faster R-CNN with NAS optimization and feature enrichment

It well known that vehicle detection is an important component of the field of object detection. However, the environment of vehicle detection is particularly sophisticated in practical processes. It is compara-tively difficult to detect vehicles of various scales in traffic scene images, because the vehicles partially obscured by green belts, roadblocks or other vehicles, as well as influence of some low illumination weather. In this paper, we present a model based on Faster R-CNN with NAS optimization and feature enrichment to realize the effective detection of multi-scale vehicle targets in traffic scenes. First, we proposed a Retinex-based image adaptive correction algorithm (RIAC) to enhance the traffic images in the dataset to reduce the influence of shadow and illumination, and improve the image quality. Second, in order to improve the feature expression of the backbone network, we conducted Neural Architecture Search (NAS) on the backbone network used for feature extraction of Faster R-CNN to generate the optimal cross-layer connection to extract multi-layer features more effectively. Third, we used the object Feature Enrichment that combines the multi-layer feature information and the context information of the last layer after cross-layer connection to enrich the information of vehicle targets, and improve the robustness of the model for challenging targets such as small scale and severe occlusion. In the imple-mentation of the model, K-means clustering algorithm was used to select the suitable anchor size for our dataset to improve the convergence speed of the model. Our model has been trained and tested on the UN-DETRAC dataset, and the obtained results indicate that our method has art-of-state detection performance.     

基于数值SEA算法的反潜C3I系统效能分析

在分析了反潜C3I效能指标的基础上,采用数值SEA逼近算法求解反潜C3I使命轨迹和系统效能度量,建立了反潜C3I的SEA效能分析模型,并给出了系统效能指标灵敏度与关联度分析模型.     

阻尼振荡的数学本质分析

用微分方程定性理论,从平面自治系统奇点的性态角度出发分析了阻尼振荡的数学本质。以全新的视角讨论了三种阻尼情况的本质区别,由此引出了系统在平衡态的稳定性问题。进一步用系统稳定性理论论述了自激振荡器的设计思想。该分析方法也是研究非线性动态电路、动力系统稳定性的有效方法。     

大口径机枪结构动力学建模方法研究

总结了我国近年来关于大口径机枪结构动力学建模方法研究的主要成果,分析了目前建模方法上存在的某些问题以及对武器装备研制的影响,进一步介绍了边界条件的确定、模型正确性判别和载荷识别等方面的新技术。     

扭杆式坦克悬挂系统的强度分析

针对目前悬挂系统设计理论的不足,运用工程力学中的卡氏第二定理和莫尔法求出负重轮行程与所受载荷之间的理论关系,并考虑了平衡肘的变截面对应力状态的影响,进而得到系统内关键点处的应力值;在理论分析的基础上,由简单到复杂,分别建立了初步模型、修正模型和最终的实体模型.应用有限元软件对悬挂系统进行三维数值模拟,计算了悬挂系统的应力场和位移场.理论分析和数值模拟的结果表明:悬挂系统力学模型较好地描述了悬挂系统的实际情况;有限元计算模型对于扭杆式悬挂系统强度计算非常有效,所得应力集中区与实际失效情况基本一致;应用本研究结果,可对悬挂系统作进一步的疲劳分析.     

坦克外部磁场的有限元分析

采用有限元数值计算方法,参考坦克的旋转椭球模型的计算公式,对坦克外部的磁场进行了计算机模拟计算.     

国外保障性试验与评价的做法与启示

保障性试验与评价是实现装备战备完好性目标、降低装备寿命周期费用和研制风险的重要而有效的决策手段.分别介绍了美、法、德、日等国家在保障性试验与评价方面的组织、结构、管理和实际做法,并得出几点启示,为我国开展保障性试验与评价提供了借鉴和参考.