时延辅助信息的水下无源定位方法

以潜艇水听器阵列所构成的系统为例,建立了一种水下无源定位算法.以观测方位和到达不同传感器的时延差为基础,建立了状态方程和观测方程.利用扩展卡尔曼滤波算法,对系统进行了目标运动分析.蒙特卡洛模拟仿真试验结果表明上述方法具有较高的定位性能.该系统构成简单,在打击水下目标方面有良好的应用前景.     

基于熵的地磁匹配定位算法

地磁匹配定位是近年来发展起来的新技术,针对地磁匹配定位中的匹配算法问题,引入了熵的概念,定义了地磁信息熵和地磁差异熵,提出了地磁信息熵和地磁差异熵综合的匹配算法,详细分析了其基本原理和实现过程。仿真实验表明,地磁熵算法的匹配误差并不随实时数据测量误差的增加而增加,该算法计算速度快、具有良好的抗测量误差干扰的能力,符合匹配精度和速度的要求。     

An exact analysis of a joint production‐inventory problem in two‐echelon inventory systems

We consider a two‐echelon inventory system with a manufacturer operating from a warehouse supplying multiple distribution centers (DCs) that satisfy the demand originating from multiple sources. The manufacturer has a finite production capacity and production times are stochastic. Demand from each source follows an independent Poisson process. We assume that the transportation times between the warehouse and DCs may be positive which may require keeping inventory at both the warehouse and DCs. Inventory in both echelons is managed using the base‐stock policy. Each demand source can procure the product from one or more DCs, each incurring a different fulfilment cost. The objective is to determine the optimal base‐stock levels at the warehouse and DCs as well as the assignment of the demand sources to the DCs so that the sum of inventory holding, backlog, and transportation costs is minimized. We obtain a simple equation for finding the optimal base‐stock level at each DC and an upper bound for the optimal base‐stock level at the warehouse. We demonstrate several managerial insights including that the demand from each source is optimally fulfilled entirely from a single distribution center, and as the system's utilization approaches 1, the optimal base‐stock level increases in the transportation time at a rate equal to the demand rate arriving at the DC. © 2011 Wiley Periodicals, Inc. Naval Research Logistics, 2011     

Approximation methods for the analysis of a multicomponent,multiproduct assemble‐to‐order system

In this article, we consider the performance evaluation of a multicomponent, multiproduct assemble‐to‐order (ATO) system. Each component is managed independently using a base‐stock policy at a supply facility with limited production capacity and an infinite buffer. The arrivals of demands follow a multivariate Poisson process and unfilled demands are backlogged. Because exact analysis of the proposed system is not feasible, we propose two approximation methods which provide upper and lower bounds for various performance measures such as fill rate, average waiting time, and average number of backorders of the proposed system. Our computational experiments demonstrate the effectiveness of the two approximation methods under various system settings. © 2011 Wiley Periodicals, Inc. Naval Research Logistics, 2011     

利用惯导信息的反舰末制导雷达抗干扰方法

惯导信息短期精度高、稳定性好,且自主工作,不受外界电磁干扰.基于惯导的这些特点,提出了一种利用惯导位置、速度信息辅助抗舷外干扰的信息处理方法:在反舰导弹末制导跟踪阶段,建立弹目相对运动模型,通过扩展卡尔曼滤波降低雷达导引头随机测量误差,获取目标位置和速度信息,当检测到干扰,通过对目标位置的预测和惯导对导弹位置的确定,实...     

基于簇的Ad Hoc网络密钥管理机制研究

Ad Hoc网络可以不依赖于现有网络基础设施,快速搭建起一个移动通信网络,然而其灵活性又使其安全性面临着严峻的挑战.密钥管理是Ad Hoc网络安全的关键技术,在分析现有的Ad Hoc网络分布式信任方案基础上,提出一种有效的基于簇的密钥管理方案.该方案实现了节点之间的双向认证,具有较强的抗假冒攻击能力,密钥分发过程简单,...     

过程挖掘算法

过程挖掘又称工作流挖掘,主要依据日志中记录的过程实例执行信息重构工作流过程模型,是工作流再设计与分析方法的一项关键技术。对目前主流的过程挖掘算法和相关工具进行了研究,把过程挖掘算法按照特性及解决问题分成了4类,对每类算法的优缺点进行比较研究。最后指出了目前过程挖掘研究中存在的问题。     

复杂环境下基于多目标粒子群的DWA路径规划算法

针对机器人在障碍物分布密集的复杂环境中运行时,动态窗口法(dynamic window approach,DWA)易出现避障失败或规划不合理的情况,提出一种基于多目标粒子群优化算法(multi-objective particle swarm optimization,MOPSO)的改进DWA规划算法。在建立多障碍物环境覆盖模型的基础上,提出一种障碍物密集度的判断方法;优化DWA算法中的子评价函数;利用改进的MOPSO算法实现DWA权重系数的动态调整,将权重系数的自适应变化问题转化为多目标优化问题;根据路径规划的要求将安全距离和速度作为优化目标,并使用改进的MOPSO算法对相应的多目标优化模型进行优化求解。仿真结果表明,该算法使机器人有效地通过障碍〖BHDWG8,WK10YQ,DK1*2,WK1*2D〗〖XCLXY.TIF;%129%129〗听语音 聊科研与作者互动 物密集区的同时兼顾了运行的安全性和速度,具有更好的路径规划效果。     

靶场GPS数据实时传输对安控时延的影响及修正

靶场对飞行器进行安控试验时需要掌握安控时延,而在实时传输安控信息中产生时延较大的信息为GPS数据,并对安控实时判决有很大的影响,针对GPS数据实时传输时延产生的原因进行了分析,提出采用最小二乘拟合法进行修正。验证结果表明,这一方法在实际应用中可有效提高安控的实时性,为试验指挥员的安控判决提供了充裕的时间。     

潜艇水动力噪声的自航模试验技术研究

探讨了一种新型的潜艇流噪声与螺旋桨噪声的模型试验方法——自航模水动力噪声测试技术。该方法通过合理的试验方案设计及信号处理手段,在背景噪声相对较低的测试环境中,可得到具有时间通过特性的噪声信号,识别出流噪声与螺旋桨噪声。