联合作战条件下灭火救援战斗编成研究

多个单位联合作战是灭火救援行动的主要形式。但在联合作战的整体协同行动中,组织冲突实际是存在着的,在一定程度上影响着各战斗单元间、人装间的有效整合和战斗力的充分发挥。在有效解决联合作战中组织冲突的基础上,通过科学制定战斗编成模式,增强战斗编成组织适应性,是提高灭火救援战斗力水平的有效途径之一。     

消防中队实战化训练实践与探索

结合实际,介绍了广州消防部队基层中队实战化训练的现状,论述了消防部队开展实战化训练的重要性和可行性,并对实战化训练任务的设置、训练方式、考评方法提出了建议,以便指导消防部队开展实战化训练工作。     

稀布阵下宽带多波束组合印证测向算法

在稀布阵下,对信号强度不同的多个信号进行多波束测向时,由于波束主瓣较宽,副瓣较高,因而无法分辨信号到达方向。针对此问题,提出了一种新的多波束测向算法,即多波束组合印证测向算法。该方法充分利用高副瓣的特点,建立多波束学习训练匹配表,通过查表综合判定信号到达方向。仿真实验结果表明:该算法很好地解决了稀布阵下对同时到达阵元的多个信号测向问题,且算法简单,运算量小,测向精度较好,具有很好的工程应用价值。     

舰艇编队协同作战的空中目标威胁评估研究

从系统分析舰艇编队协同作战的空中目标威胁评估问题入手,深入研究了协同作战环境下编队空中目标威胁评估的基本过程。在此基础上,针对编队协同决策的特点,建立了基于两层决策的协同作战环境下编队空中目标威胁评估模型,从而提出了舰艇编队协同作战的空中目标威胁评估方法。最后,通过实例说明了所提方法的有效性。     

用于海底观测网络的海缆远程供电系统的可靠性

提出了串联恒流和并联恒压两种适合应用于海底观测网络的远程供电系统方案;在相同条件下,利用算法分别完成了两种系统的可靠性设计与分配方案,并根据各子单元的分配可靠度计算了两种系统各节点的供电可靠度。分析结果表明：相比于并联恒压远供系统,串联恒流远供系统对子单元的要求相对较低,而各节点的供电可靠度相对较高,说明串联恒流远供系统更适合应用于我国的海底观测网络建设。     

Choosing arrival process models for service systems: Tests of a nonhomogeneous Poisson process

Service systems such as call centers and hospital emergency rooms typically have strongly time‐varying arrival rates. Thus, a nonhomogeneous Poisson process (NHPP) is a natural model for the arrival process in a queueing model for performance analysis. Nevertheless, it is important to perform statistical tests with service system data to confirm that an NHPP is actually appropriate, as emphasized by Brown et al. [8]. They suggested a specific statistical test based on the Kolmogorov–Smirnov (KS) statistic after exploiting the conditional‐uniform (CU) property to transform the NHPP into a sequence of i.i.d. random variables uniformly distributed on [0,1] and then performing a logarithmic transformation of the data. We investigate why it is important to perform the final data transformation and consider what form it should take. We conduct extensive simulation experiments to study the power of these alternative statistical tests. We conclude that the general approach of Brown et al. [8] is excellent, but that an alternative data transformation proposed by Lewis [22], drawing upon Durbin [10], produces a test of an NHPP test with consistently greater power. We also conclude that the KS test after the CU transformation, without any additional data transformation, tends to be best to test against alternative hypotheses that primarily differ from an NHPP only through stochastic and time dependence. © 2014 Wiley Periodicals, Inc. Naval Research Logistics 61: 66–90, 2014     

Power series expansions for the distribution and mean value function of a geometric process with Weibull interarrival times

The geometric process is considered when the distribution of the first interarrival time is assumed to be Weibull. Its one‐dimensional probability distribution is derived as a power series expansion of the convolution of the Weibull distributions. Further, the mean value function is expanded into a power series using an integral equation. © 2014 Wiley Periodicals, Inc. Naval Research Logistics, 61: 599–603, 2014     

两级滤波结构的导航卫星天线阵抗干扰算法

干扰和多径是影响接收机导航定位性能的两个主要因素。针对卫星导航接收机的抗干扰问题,提出了一种基于两级滤波结构的卫星导航天线阵抗干扰算法。第一级滤波采用功率倒置算法抑制干扰,通过相关解扩提高卫星信号的信噪比,并估计出其空间特征矢量。第二级滤波用估计得到的卫星信号空间特征矢量对第一级滤波输出信号进行加权处理,从而形成指向卫星信号方向的主波束来进一步提高信噪比。仿真结果表明,该算法的性能明显优于功率倒置算法,且非常接近传统的波束形成算法,不需要阵列校正以及姿态测量单元辅助,其实现代价远小于传统的波束形成算法。     

Effects of lethality in naval combat models

In the context of both discrete time salvo models and continuous time Lanchester models we examine the effect on naval combat of lethality: that is, the relative balance between the offensive and defensive attributes of the units involved. We define three distinct levels of lethality and describe the distinguishing features of combat for each level. We discuss the implications of these characteristics for naval decision‐makers; in particular, we show that the usefulness of the intuitive concept “more is better” varies greatly depending on the lethality level. © 2003 Wiley Periodicals, Inc. Naval Research Logistics, 2004.     

Bivariate models from univariate life distributions: A characterization cum modeling approach

Bivariate life distribution models are of importance for studying interdependent components. We present a generic approach by introducing a new concept of characterized model in stead of a characterized distribution. It strikes a balance between characterization and modeling approaches to eliminate their individual limitations and incorporate their respective strengths. The proposed model, being a characterized one, admits many important properties irrespective of the choice of marginal distributions. The retention of univariate IFR, DFR, IFRA, DFRA, NBU, and NWU class properties in the bivariate setup has been ensured along with some results on series combinations and convolution. No other models, available in the literature, can ensure simultaneous retention of these fundamental and extremely important class properties. © 2004 Wiley Periodicals, Inc. Naval Research Logistics, 2004