建模仿真主计划及其关键技术

综述了建模仿真主计划 (MSMP)的目的和内容 ,着重阐述该计划中的公共技术框架 ,分析该计划对军事领域内建模仿真活动的影响 ,并对其中某些关键技术问题提出了解决思路或方法     

基于混合矩的多输出模型确认指标研究

针对随机不确定性条件下多输出计算模型与物理实验数据之间一致性难以量化度量这一问题,本文提出一组新的基于混合矩的多输出模型确认指标。在不确定情况下,同时考虑到多维输出之间的相关关系和单输出的均值,构建了由多输出数学期望列阵和协方差矩阵组成的多输出模型确认局部混合矩指标和全局混合矩指标。其中局部混合矩指标包括绝对指标(LA-3M)和相对指标(LR-3M),它们适合固定位置的多输出局部模型确认;全局混合矩指标也包括绝对指标(GA-3M)和相对指标(GR-3M),它们适合多点位置的多输出全局模型确认。通过数字算例和工程算例,并与PIT和t-pooling 面积指标进行对比,结果表明本文所提指标可行有效,能够方便地度量计算模型和物理实验之间的差异程度。     

Defence R&D expenditure: The crowding-out hypothesis

The impact of defence expenditure on the economy has been widely studied through different types of models. However, the results from these studies have not reached definitive conclusions, and have left a gap in the analysis of the impact of defence R&D expenditure at the economy level. Defence R&D has specific characteristics, which lead to market failures: public good, high risk and uncertainty, national security. Also, defence R&D creates two types of externalities: negative (crowding-out), and positive (spin-off). Crowding-out is the major economic debate about defence R&D. This paper analyses the crowding-out hypothesis by applying three types of models for the UK case: supply, demand, and demand-supply models. From these three models the most reliable is chosen and applied to the individual cases of France, Germany, Japan and USA. The paper also reports the results for the pooled data of these five countries, and for four error component models. The results from estimating such models shed light on the defence R&D crowding-out hypothesis.     

Asymmetric effects of military expenditure between Turkey and Greece

One of the major topics of the defense economics literature regarding Turkey and Greece has been the empirical modeling of various aspects of arms racing. However, despite a considerable amount of research, little evidence has been found in favor of an arms race between the two countries. In the literature, this failure of applied studies has been attributed, among other reasons, to the sensitivity of the results to the underlying model specification, to small sample size, and to measurement issues. This study uses novel, nonlinear, models to investigate the possible relationship between the military expenditures of the two countries. It is assumed that if there are two regimes characterizing the low (or negative) and high-growth military expenditure periods, the growth rates of one country's military expenditure may have distinct effects on the military expenditure regimes of the other country or may contribute to the change from one regime to another. The nonlinear models examined are Smooth Transition Regression models (STRs). Strong evidence of nonlinearity for Greece is found, with asymmetry relating to two distinct regimes through lagged Turkish military expenditure changes.     

The Demand for Turkish Defence Expenditure

Although a number of studies concerning Turkish defence-growth relation have been published in recent years, little attention is given the demand for Turkish defence expenditure. This is an important issue for understanding which variables contribute to the determination of the demand for military expenditure. However, it is difficult to develop a general theory or a standard empirical approach for the determination of the demand military expenditure. This study models and estimates the demand for Turkish defence expenditure for the period 1951-1998 using autoregressive distributed lag approach to cointegration (ARDL) following the methodology outlined in Pesaran and Shin (1999). This procedure can be applied regardless of the stationary properties of the variables in the sample and allows for inferences on long-run estimates, which is not possible under alternative cointegration procedures. The findings suggest that Turkish defence spending is determined by NATO's defence spending, Greece's defence spending and some security considerations.     

Defense Spending and Economic Growth: Some Empirical Evidence from the Arab Gulf Region

The present paper investigates the causal relationship between defense spending and economic growth in six Gulf countries for the period 1975-1998. I use Granger-causality test within a multivariate error-correction framework to explore the existence and direction of causality between these two variables. The empirical results indicate that neither growth nor defense can be considered exogenous and that the relationship between them cannot be generalized across countries. Two implications can be derived from these findings. One is the need for more studies, especially from developing countries, using time-series data. The other is that decisions on defense spending should be based on each country's socio-economic circumstances. Given the small sample size, however, caution is advised in considering the above results and their implications as final.     

一种改进的基于交互式模型的机动目标跟踪算法

针对传统的以匀速(CV)或匀加速(CA)运动作为目标运动模型的卡尔曼跟踪滤波器的计算量大及跟踪精度低的固有缺陷,提出了一种基于CV和CA的交互式卡尔曼滤波模型的机动目标跟踪算法,该算法能在保持直线运动跟踪精度不变的前提下,使做曲线运动的目标的跟踪精度逼近做直线运动的目标的跟踪精度。并将CV和CA模型混合起来进行仿真估计,系统仿真结果表明该算法提高了系统的跟踪精度。