基于删除平均的VI-CFAR检测器

针对MLVI-CFAR检测器在多个随机分布干扰目标背景下检测性能不好,以及OSVI-CFAR检测器在均匀环境和仅单滑窗存在干扰目标的环境下检测性能欠佳问题,提出了一种基于删除平均(CML)的VI-CFAR检测器(CMLVI-CFAR).仿真验证了CMLVI-CFAR检测器在均匀背景及多目标干扰环境下,都具有比MLVI和OSVI-CFAR检测器好的检测性能,并且其在杂波边缘背景下的虚警控制能力与前两者也基本一致,说明其在实际杂波环境中具有更强的鲁棒性和良好的应用潜力.     

利用深度学习的硬件计数器复用估计算法

利用深度学习方法,为硬件计数器复用(multiplexing,MPX)提供结果精度更高的估计模型。通过对MPX估计得到的结果与实际采集的真实数据进行相似性分析,证明相同程序多次运行之间得到的硬件计数值是线性相关的。采用神经网络多层感知器(multilayer perceptron,MLP)和双向门控神经网络(bidirectional gated recurrent unit, Bi-GRU)这2种深度学习模型,对MPX数据进行拟合。基于动态时间规整(dynamic time warping, DTW),提出一个全新的评估MPX数据精度的指标DTW-cost。实验结果表明,同时收集15个硬件事件数据时,MLP方法拟合得到的13个高性能计算应用平均准确率比现有使用最广的固定插值法高出10.53%,最多可提升19.8%;而在MLP表现较差的事件上,Bi-GRU方法得到的平均准确率提升了28.8%。     

Tuning the reactivity of Al–Ni by fine coating of halogen-containing energetic composites

In this paper, various core-shell structured Al–Ni@ECs composites have been prepared by a spray-drying technique. The involved ECs refer to the energetic composites (ECs) of ammonium perchlorate/nitrocellulose (AP/NC, NA) and polyvinylidene fluoride/hexanitrohexaazaisowurtzitane (PVDF/CL-20, PC). Two Al–Ni mixtures were prepared at atomic ratios of 1:1 and 1:3 and named as Al/Ni and Al/3Ni, respectively. The thermal reactivity and combustion behaviors of Al–Ni@ECs composites have been comprehensively investigated. Results showed that the reactivity and combustion performance of Al–Ni could be enhanced by introducing both NA and PC energetic composites. Among which the Al/Ni@NA composite exhibited higher reactivity and improved combustion performance. The measured flame propagation rate (v = 20.6 mm/s), average combustion wave temperature (T_max = 1567.0 °C) and maximum temperature rise rate (γ_t = 1633.6 °C/s) of Al/Ni@NA are higher than that of the Al/Ni (v = 15.8 mm/s, T_max = 858.0 °C, and γ_t = 143.5 °C/s). The enhancement in combustion properties could be due to presence of the acidic gaseous products from ECs, which could etch the Al₂O₃ shell on the surface of Al particles, and make the inner active Al to be easier transported, so that an intimate and faster intermetallic reaction between Al and Ni would be realized. Furthermore, the morphologies and chemical compositions of the condensed combustion products (CCPs) of Al–Ni@ECs composites were found to be different depending on the types of ECs. The compositions of CCPs are dominated with the Al–Ni intermetallics, combining with a trace amount of Al₅O₆N and Al₂O₃.     

Performances and direct writing of CL-20 based ultraviolet curing explosive ink

A new type of explosive ink formulation that can be quickly cured was prepared with unsaturated polyester as binder,styrene as active monomer,2,4,6-trimethylbenzoyl-diphenylphosphine oxide as photoinitiator,and hexanitrohexaazaisowurtzitane (CL-20) as the main explosive.Then the explosive ink direct writing technology was used to charge the micro-sized energetic devices,the curing mechanism of the explosive ink was discussed,and the microstructure,safety performance and explosive transfer performance of the explosive ink molded samples were tested and analyzed.Results indicate that the composite material has a fast curing molding speed,its hardness can reach 2H within 8 min.The crystal form of CL-20 in the molded sample is still ε type.The CL-20 based W-curing explosive ink formulation has good compatibility,its apparent activation energy is increased by about 3.5 kJ/mol.The composite presents a significant reduction in impact sensitivity and its characteristic drop height can reach 39.8 cm,which is about 3 times higher than the raw material.When the line width of charge is 1.0 mm,the critical thickness of the explosion can reach 0.015 mm,and the explosion velocity is 7129 m/s when the charge density is 1.612 g/cm3.     

3D laser scanning strategy based on cascaded deep neural network

A 3D laser scanning strategy based on cascaded deep neural network is proposed for the scanning system converted from 2D Lidar with a pitching motion device. The strategy is aimed at moving target detection and monitoring. Combining the device characteristics, the strategy first proposes a cascaded deep neural network, which inputs 2D point cloud, color image and pitching angle. The outputs are target distance and speed classification. And the cross-entropy loss function of network is modified by using focal loss and uniform distribution to improve the recognition accuracy. Then a pitching range and speed model are proposed to determine pitching motion parameters. Finally, the adaptive scanning is realized by integral separate speed PID. The experimental results show that the accuracies of the improved network target detection box, distance and speed classification are 90.17%, 96.87% and 96.97%, respectively. The average speed error of the improved PID is 0.4239°/s, and the average strategy execution time is 0.1521 s. The range and speed model can effectively reduce the collection of useless information and the deformation of the target point cloud. Conclusively, the experimental of overall scanning strategy show that it can improve target point cloud integrity and density while ensuring the capture of target.     

QF炮膛擦拭剂的研制

介绍了QF炮膛擦拭剂的研制原理、配方、制备工艺、性能及应用情况。实验室理化性能测定和实际使用结果表明,该剂具有清洁能力强、防锈性好、使用方便等特点,对火炮射击结束后残留在炮膛内的火药残渣和尼龙残渣具有良好的去除作用,是一种应用前景广泛的武器装备维护保养新材料。     

固体燃料冲压发动机飞行性能分析

固体燃料冲压发动机性能通过进气道与导弹飞行工况关联在一起,其工作过程需考虑导弹飞行参数对发动机性能的影响。与其它冲压发动机相比,固体燃料冲压发动机一个显著特点是推进剂燃烧过程不仅与推进剂配方、发动机结构和燃烧室压强有关,还取决于燃烧室入口空气参数,因此工作过程较为复杂。在国内首次建立固体燃料冲压发动机工作过程仿真模型,并分析导弹飞行马赫数和高度对发动机性能的影响规律。     

应用改进的线性预测算法构建虚拟阵的精确定向方法

为了克服传统线性预测(Linear Prediction,LP)算法在构建虚拟阵过程中存在预测误差容易累积的弊端,提出了一种能够更充分利用实阵信息量的改进LP算法来构建虚拟阵。采用实际基阵方法、传统LP虚拟阵方法和改进LP虚拟阵方法分别对假定基阵的波束性能进行计算机仿真及对湖试数据进行处理成像,研究结果表明,与传统LP方法相比,改进的LP方法能够有效地抑制波束旁瓣,进一步提高了基阵的角度分辨力和阵增益,将其运用于特定试验背景下的实际湖底目标声探测,方向分辨精度可提高75%。     

装甲装备作战效能评估的模糊Petri网模型研究

利用模糊Petri网清晰、简单的知识表示能力和模糊推理能力,将其应用于装甲装备作战效能评估中。基于"能力需求分析"方法建立了装甲装备的分层效能评估指标体系,并对其优化和赋权方法做了简要介绍;介绍了模糊Petri网的定义和基于BP算法的学习能力;在此基础上以装甲装备战场感知能力二级指标为例介绍了基于模糊Petri网模型的评估方法,并对评估结果进行了分析。     

末端防御武器平台炮控性能检测方法

末端防御武器平台炮控系统性能的好坏直接影响首发命中率和射击反应时间等重要战技指标,在设计试验阶段,对其炮控性能进行检测是必不可少的环节。采用基于三棱锥模型的炮控性能检测方法,建立了三棱锥计算模型并进行Matlab仿真分析以及检测精度分析,从而验证了其工作原理及可行性,满足武器平台炮控性能检测的要求。