电子对抗与兵器火控指控系统

叙述了电子对抗、兵器电子对抗的重要性,并重点讨论地面野战防空武器综合电子系统、坦克综合电子系统的电子对抗和指控系统中的电子对抗     

新时期基层消防部队科学文化教育存在的问题及对策

基层部队开展科学文化教育活动,是培养“四有"军人,加强部队现代化建设的一项战略任务。然而,各级领导对这项活动在思想认识、组织引导、工作力度等方面存在诸多问题,必须在充分认识的基础上,采取多种措施,大力加以解决,在兴趣培养、方法、内容、制度、环境等方面进行改进,切实搞好这项活动,推进部队全面建设。     

高校学生党建工作的现状与对策

高等学校肩负着为中国特色社会主义事业培养建设者和接班人的历史使命。学生党建工作是学生工作的重中之重,积极慎重地做好高校学生党建工作,将具有重要的现实意义和深远的历史意义。     

弹道导弹突防数概率分布列计算模型

针对双层反导防御系统,在单枚导弹突防概率的基础上,分别建立了多枚战术弹道导弹突破单层和双层拦截的最终突防数概率分布列计算模型,同时进行了算例分析,对模型进行了验证.     

坦克分队遭遇战斗火力运用研究

根据遭遇战斗的特点,运用随机格斗、微分对策数理战术模型,研究坦克分队遭遇战斗最优火力运用策略问题.研究得出的结论符合坦克分队战术特点,为坦克分队指挥决策提供辅助作用.     

微小曲率半径的图像处理测量方法

通过Quanta200型扫描电子显微镜获取待测物体表面数字图像,运用灰质化、图像增强、图像平滑、图像分割及边缘检测等技术提取研究对象的轮廓边缘。用Photoshop软件中测量图像标尺在水平方向的像素数目,绘制不同尺寸的标准圆与边缘轮廓线条内切,反复操作后确定最大内切圆。统计该内切圆直径像素个数,利用指定表达式计算其半径。以该法测量单颗金刚石磨粒尖端曲率半径,结果表明：基于图像处理的微小曲率半径测量技术在不具备复杂、精密的测试仪器时,具有可靠的测量准确度和可操作性。     

A cooperative interference resource allocation method based on improved firefly algorithm

To deal with the radio frequency threat posed by modern complex radar networks to aircraft, we researched the unmanned aerial vehicle (UAV) formations radar countermeasures, aiming at the solution of radar jamming resource allocation under system countermeasures. A jamming resource allocation method based on an improved firefly algorithm (FA) is proposed. Firstly, the comprehensive factors affecting the level of threat and interference efficiency of radiation source are quantified by a fuzzy comprehensive evaluation. Besides, the interference efficiency matrix and the objective function of the allocation model are determined to establish the interference resource allocation model. Finally, A mutation operator and an adaptive heuristic are integtated into the FA algorithm, which searches an interference resource allocation scheme. The simulation results show that the improved FA algorithm can compensate for the deficiencies of the FA algorithm. The improved FA algorithm provides a more sci-entific and reasonable decision-making plan for aircraft mission allocation and can effectively deal with the battlefield threats of the enemy radar network. Moreover, in terms of convergence accuracy and speed as well as algorithm stability, the improved FA algorithm is superior to the simulated annealing algorithm (SA), the niche genetic algorithm (NGA), the improved discrete cuckoo algorithm (IDCS), the mutant firefly algorithm (MFA), the cuckoo search and fireflies algorithm (CSFA), and the best neighbor firefly algorithm (BNFA).