陆军装甲装备作战试验问题研究

从研究陆军装甲装备作战试验基本概念入手,系统构建了陆军装甲装备作战试验的内容体系框架,并依据陆军装甲装备作战训练和作战使用流程,对陆军装甲装备作战试验项目进行了总体设计,可为开展陆军装甲装备作战试验提供理论支撑。     

短波自动链路建立性能分析与优化设计

文章在分析2G-ALE建链流程的基础上,建立了平均建链概率和平均建链时间性能指标数学模型,依据此模型分析了信道扫描速率以及引导呼叫的长度对平均建链时间的影响。通过仿真比较了两种信道驻留时间的优化方案,结果表明在差信道条件下适当降低信道扫描速率可以减少平均建链时间。指标模型和仿真分析对于ALE系统的设计优化具有一定的参考意义。     

一种针对基因识别的GHMM简化算法

广义隐Markov模型是计算机基因识别的一种重要模型,它克服了传统隐Markov模型的状态段长成几何分布的缺陷,更加适合于计算机基因识别。其缺点在于计算量大,需要采用有效的简化算法。利用基因的结构特点,在不附加额外限制条件的情况下,提出了一种新的简化算法,其计算复杂度是序列长度的线性函数。对实际生物序列数据的测试结果表明了此简化算法的有效性。     

作战构想风险性评估模型

作战构想是制定作战方案、定下作战决心的依据,在任务规划中起着承上启下的作用,意义重大.针对构想风险难以定量分析的难题,基于作战构想的组成要素、战场情况分析研判数据,从周密性、机动、打击、防护等角度构建了作战构想风险性评估指标体系,并提出了对各个指标进行定量分析的评估模型.最后,采用实例对提出的方法进行了验证,结果表明,该方法可行有效,避免了定性分析中存在的主观性、模糊性等不足,为作战构想评估提供了新的思路和方法.     

模块化中频信号源设计

信号源采用小型模块化设计,由多个体积小巧的信号产生模块实现功能.模块使用FPGA控制DAC和PLL实现功能,同时为了进一步缩小体积,模块上的DAC与PLL间采用直连设计.单个模块可独立编程设置,选择输出中频信号或者时钟信号,每台信号源中的模块数量也可根据实际需求灵活选择.该信号源经过验证满足要求,可以为高速电路调试提供良好保障.     

Maneuvering target tracking of UAV based on MN-DDPG and transfer learning

Tracking maneuvering target in real time autonomously and accurately in an uncertain environment is one of the challenging missions for unmanned aerial vehicles(UAVs).In this paper,aiming to address the control problem of maneuvering target tracking and obstacle avoidance,an online path planning approach for UAV is developed based on deep reinforcement learning.Through end-to-end learning powered by neural networks,the proposed approach can achieve the perception of the environment and continuous motion output control.This proposed approach includes:(1)A deep deterministic policy gradient(DDPG)-based control framework to provide learning and autonomous decision-making capa-bility for UAVs;(2)An improved method named MN-DDPG for introducing a type of mixed noises to assist UAV with exploring stochastic strategies for online optimal planning;and(3)An algorithm of task-decomposition and pre-training for efficient transfer learning to improve the generalization capability of UAV's control model built based on MN-DDPG.The experimental simulation results have verified that the proposed approach can achieve good self-adaptive adjustment of UAV's flight attitude in the tasks of maneuvering target tracking with a significant improvement in generalization capability and training efficiency of UAV tracking controller in uncertain environments.     

Bidirectional parallel multi-branch convolution feature pyramid network for target detection in aerial images of swarm UAVs

In this paper, based on a bidirectional parallel multi-branch feature pyramid network (BPMFPN), a novel one-stage object detector called BPMFPN Det is proposed for real-time detection of ground multi-scale targets by swarm unmanned aerial vehicles (UAVs). First, the bidirectional parallel multi-branch convolution modules are used to construct the feature pyramid to enhance the feature expression abilities of different scale feature layers. Next, the feature pyramid is integrated into the single-stage object detection framework to ensure real-time performance. In order to validate the effectiveness of the proposed algorithm, experiments are conducted on four datasets. For the PASCAL VOC dataset, the proposed algorithm achieves the mean average precision (mAP) of 85.4 on the VOC 2007 test set. With regard to the detection in optical remote sensing (DIOR) dataset, the proposed algorithm achieves 73.9 mAP. For vehicle detection in aerial imagery (VEDAI) dataset, the detection accuracy of small land vehicle (slv) targets reaches 97.4 mAP. For unmanned aerial vehicle detection and tracking (UAVDT) dataset, the proposed BPMFPN Det achieves the mAP of 48.75. Compared with the previous state-of-the-art methods, the results obtained by the proposed algorithm are more competitive. The experimental results demonstrate that the proposed algorithm can effectively solve the problem of real-time detection of ground multi-scale targets in aerial images of swarm UAVs.     

复杂适应系统理论与信息化战争研究

战争系统是典型的复杂巨系统之一,对战争系统的研究是系统科学研究的一个重要分支。文章首先研究了复杂适应系统的概念及其7个基本属性,然后从相互作用、战争手段的多样性以及不确定性三个方面对信息化战争复杂性的产生原因进行了探讨,并分析了信息化战争复杂性的三个重要表现形式,即非线性、涌现性和流动性。最后分别从作战理论研究、战争模拟以及战法改进三个方面分析了复杂适应系统理论的应用。     

航空轮胎用橡胶弹性体Mullins效应动态加载方法

航空轮胎用橡胶弹性体在服役过程中遭受严苛的动态循环工况。为了研究弹性体在此工况下的力学响应特征和损伤机理,提出基于应力波作用的Mullins效应动态加载实验方法。根据应力波传导与作用特征,采用Hopkinson压杆加载思路,设计和配置了各单元尺寸参数,进而搭建可用于橡胶弹性体材料动态循环加载的实验系统,并开展了航空轮胎用丁苯橡胶的动态循环加载试验。基于试验信号分析发现：加载系统实现了弹性体材料Mullins效应动态应变递增的试验加载。最后开展加载测试参数的影响因素分析,结果表明通过优化系统各单元可实现Mullins效应的动态加、卸载参数的控制。     

88B坦克分队与M60A3坦克分队随机火力对抗

以 8 8 B坦克分队进攻防御阵地之 M6 0 A3坦克分队为立足点 ,建立双方随机对抗时的兰彻斯特平方律模型 ,结合战场实际 ,得出 88B坦克分队取得最大作战效能时的最佳兵力比 ,及其运用火力的几点结论。