关于雷达角跟踪性能测试方法的探讨

基于雷达跟踪目标最大角速度和角加速度的定义,分析了用雷达跟踪目标最大角速度和角加速度表征雷达跟踪性能的可行性,并对角误差信号的模拟方法进行了讨论。介绍了一个可以测试幅频特性、暂态特性、雷达跟踪目标最大角速度和角加速度的测试系统设计思想。     

导弹电子设备电源线传导敏感度测试研究

采用ＣＳ０１测试法对导弹武器系统的电子设备进行电源线传导敏感度测试,由于测试指标和测试方法的限定要求,将不仅影响受试电子设备的正常工作,而且还会对ＣＳ０１设备本身产生不利影响。在分析产生上述影响原因的同时,有针对性地提出了有效的解决措施,使由于限定要求带来的不利影响降低到最低限度,以使导弹电子设备电源线传导敏感度测试能按国军标规定要求正常进行。     

舷外有源诱饵反导方法研究

为提高电子战反导水平和导弹突防能力,根据反导电子战装备发展的趋势,介绍了舷外有源诱饵的原理和特点,分析了欺骗干扰、压制干扰和组合干扰3种舷外有源诱饵作战使用的典型模式,从实际试验和仿真2方面研究了舷外有源诱饵对抗反击导弹的效果.研究内容对反导电子战装备的研发和作战使用以及反舰导弹突防研究具有一定参考价值.     

一种RetinaNet与SE融合的航空取证目标检测算法

针对在开展航空侦察取证时缺乏自动化、智能化取证手段的情况,提出了一种基于Reti-naNet与SE融合的航空取证目标检测算法,解决目标尺度变化大、数据集中类别不均衡的问题,并通过SE (squeeze-excitations)模块引入注意力机制进一步改进性能.该改进算法中的特征金字塔网络FPN可有效应对目标尺寸变化较大...     

Periodic review inventory management with contingent use of two freight modes with fixed costs

We study a stochastic inventory model of a firm that periodically orders a product from a make‐to‐order manufacturer. Orders can be shipped by a combination of two freight modes that differ in lead‐times and costs, although orders are not allowed to cross. Placing an order as well as each use of each freight mode has a fixed and a quantity proportional cost. The decision of how to allocate units between the two freight modes utilizes information about demand during the completion of manufacturing. We derive the optimal freight mode allocation policy, and show that the optimal policy for placing orders is not an (s,S) policy in general. We provide tight bounds for the optimal policy that can be calculated by solving single period problems. Our analysis enables insights into the structure of the optimal policy specifying the conditions under which it simplifies to an (s,S) policy. We characterize the best (s,S) policy for our model, and through extensive numerical investigation show that its performance is comparable with the optimal policy in most cases. Our numerical study also sheds light on the benefits of the dual freight model over the single freight models. © 2011 Wiley Periodicals, Inc. Naval Research Logistics, 2011     

基于聚类算法的多无人机系统任务分配

针对现有任务分配方法在任务点较多时不易解算,且计算量大的问题,提出了基于模糊C-均值聚类算法的多无人机系统任务分配方法.首先,利用模糊C-均值聚类算法得到的隶属度矩阵对任务点进行初始分配;其次,针对基于空间划分聚类可能造成各UAV任务不均衡的问题,设计任务的局部优化调整规则;最后,结合单旅行商问题,利用Tabu Sea...     

Quantifying the performance effects of idle time utilization in multiserver systems

In many practical multiserver queueing systems, servers not only serve randomly arriving customers but also work on the secondary jobs with infinite backlog during their idle time. In this paper, we propose a c‐server model with a two‐threshold policy, denoted by (e d), to evaluate the performance of this class of systems. With such a policy, when the number of idle servers has reached d (<c), then e (<d) idle agents will process secondary jobs. These e servers keep working on the secondary jobs until they find waiting customers exist in the system at a secondary job completion instant. Using the matrix analytic method, we obtain the stationary performance measures for evaluating different (e, d) policies. © 2006 Wiley Periodicals, Inc. Naval Research Logistics, 2007.     

GEO导航星广播星历拟合改进算法设计

设计了倾角较小的GEO导航星的广播星历拟合算法。该方法的核心思想是在常规拟合算法的基础上对位置观测量进行合理的坐标系参考平面旋转,特别是提出针对拟合迭代初值进行相应的坐标变换,从而既可以解决轨道参数拟合的相关性问题,使轨道参数拟合快速收敛,同时又兼顾了用户接收机的计算简便化。通过仿真验证,该方法简洁有效,拟合中误差RMS在厘米量级,能够保证拟合精度。     

一种支持向量机增量学习淘汰算法

针对大规模数据集的分类问题,支持向量机的训练成为一个难题。增量学习是解决这一难题的思路之一。分析了新增样本加入训练集后支持向量集的变化情况,提出了一种基于密度法的支持向量机增量学习淘汰算法,淘汰了对最终分类无用的样本,在保证测试精度的同时减少了训练时间。实验仿真证明这种算法是有效的。     

遗传算法在防空导弹火力优化分配中的应用

介绍了遗传算法的基本原理、算法设计并结合遗传算法主要解决了如何把目标分配给火力单元的问题,编写了相应的程序,并给出了一个基于遗传算法的火力优化分配方案。