Fully sequential procedures for comparing constrained systems via simulation

We consider the problem of finding the system with the best primary performance measure among a finite number of simulated systems in the presence of a stochastic constraint on a single real‐valued secondary performance measure. Solving this problem requires the identification and removal from consideration of infeasible systems (Phase I) and of systems whose primary performance measure is dominated by that of other feasible systems (Phase II). We use indifference zones in both phases and consider two approaches, namely, carrying out Phases I and II sequentially and carrying out Phases I and II simultaneously, and we provide specific example procedures of each type. We present theoretical results guaranteeing that our approaches (general and specific, sequential and simultaneous) yield the best system with at least a prespecified probability, and we provide a portion of an extensive numerical study aimed at evaluating and comparing the performance of our approaches. The experimental results show that both new procedures are useful for constrained ranking and selection, with neither procedure showing uniform superiority over the other.© 2010 Wiley Periodicals, Inc. Naval Research Logistics, 2010     

Path optimization for the resource‐constrained searcher

We formulate and solve a discrete‐time path‐optimization problem where a single searcher, operating in a discretized three‐dimensional airspace, looks for a moving target in a finite set of cells. The searcher is constrained by maximum limits on the consumption of one or more resources such as time, fuel, and risk along any path. We develop a specialized branch‐and‐bound algorithm for this problem that uses several network reduction procedures as well as a new bounding technique based on Lagrangian relaxation and network expansion. The resulting algorithm outperforms a state‐of‐the‐art algorithm for solving time‐constrained problems and also is the first algorithm to solve multi‐constrained problems. © 2010 Wiley Periodicals, Inc. Naval Research Logistics, 2010     

Newsvendor bounds and heuristics for serial supply chains with regular and expedited shipping

We study an infinite‐horizon, N‐stage, serial production/inventory system with two transportation modes between stages: regular shipping and expedited shipping. The optimal inventory policy for this system is a top–down echelon base‐stock policy, which can be computed through minimizing 2N nested convex functions recursively (Lawson and Porteus, Oper Res 48 (2000), 878–893). In this article, we first present some structural properties and comparative statics for the parameters of the optimal inventory policies, we then derive simple, newsvendor‐type lower and upper bounds for the optimal control parameters. These results are used to develop near optimal heuristic solutions for the echelon base‐stock policies. Numerical studies show that the heuristic performs well. © 2009 Wiley Periodicals, Inc. Naval Research Logistics, 2010     

基于粗精度DEM的复杂地形InSAR基线估计方法

基线精度对合成孔径雷达干涉测量极其重要,在研究传统基线估计方法的基础上,提出了一种基于粗精度DEM的基线估计方法。利用SRTM数字高程及初始轨道数据去除干涉相位中的地形条纹,通过分析剩余条纹的空间频率估计精确基线,具有不依赖于精确轨道数据、不受地形限制的优点。利用西藏玛尼山区ERS1/2数据进行了实测数据验证,实验结果表明得到的基线精度优于传统方法。     

XMSF下新兴开放标准的集成和验证

建模与仿真领域中实现资源重用、共享和互操作的基本途径是标准化。诸多开放互操作标准的提出和应用成功解决了各自领域的互操作问题,推动了仿真技术的发展。关于这些开放标准的讨论及应用情况都已有相当数量的文献予以介绍,但具体涉及同一框架下各标准之间相互作用或影响情况却鲜有提及。依托XMSF框架,选取了MDA、BOM、SRML、MSDL、C-BML五种主流的新兴开放标准,通过XMSF案例对这些标准在XMSF中的集成应用进行了详细研究,评估它们在一起时可能为仿真领域带来的影响和能力。     

星地距离变化对星地双向时间比对的影响及改正

星地时间同步是卫星导航系统的关键技术,星地双向时间比对能有效提高星地时间同步的精度。在分析了星地距离变化对星地双向时间比对可引起百纳秒量级误差后,提出了前后历元观测数据差分改正方法,通过数学仿真验证该方法能达到纳秒量级精度。     

基于步进频率正交信号的星载MIMO-GMTI雷达空时频处理研究

多发多收(MIMO)体制雷达综合采用多通道、多频技术,为解决星载GMTI面临的探测慢速运动目标和消除盲速估计等问题提供了有效途径。MIMO雷达工作的基础是有效的波形设计。因此,在分析正交波形性能的基础上,结合GMTI应用需求,建立了星载MIMO雷达步进频率正交信号的基本参数确定准则,研究了步进频率MIMO雷达空时频联合自适应处理的基本原理,通过仿真验证了MIMO雷达在杂波抑制和GMTI性能上的优势。     

极化域-空域联合估计在反辐射导弹抗诱偏中的应用研究

提出了将极化阵列应用到反辐射导引头上,导引头利用目标与诱饵的极化差异,采用极化域-空域联合估计方法抗诱偏。首先,利用波达方向矩阵法,估算出雷达与诱饵的空间二维到达角和极化参数,将估算出来的二维到达角信息为反辐射导引头提供导引,极化参数用来鉴别雷达与诱饵,从而达到抗诱偏的目的。然后,结合导弹运动方程及导引方程对反辐射导弹抗三点源诱偏进行了全弹道数字仿真,并且采用Monte-Carlo方法对全弹道仿真进行了多次实验,仿真结果证明了将极化域-空域联合估计应用于反辐射导引头抗诱偏的可行性。     

泛探雷达时-空级联目标检测与DOA估计算法

针对"泛探"雷达,提出了一种时-空级联目标检测和DOA估计算法,该方法首先利用基于DFT的数字波束形成技术完成阵元空间到波束空间的转换,然后对协方差矩阵的迹做门限检测,最后采用多级维纳滤波的子空间分解法进行到达角估计。仿真结果表明,本文提出方法对比长时间相参积累和单脉冲比幅测向方法具有较好的时域检测和测向能力。     

基于球体-椭球体联合模型的中段目标几何特性反演

针对弹道中段目标RCS(Radar Cross Section)序列识别问题,在分析中段目标电磁散射特性及运动特性的基础上,结合传统的基于球体、椭球体的目标几何特性反演模型,提出了一种新的利用RCS幅度相对于目标姿态角变化率反演弹道中段目标二维几何尺寸的算法,克服了传统方法需要观测到目标RCS极大、极小值的缺陷。利用仿真和暗室测量的典型弹头类目标的RCS数据,验证了方法的有效性。