基于混沌特征的高分辨雷达目标识别

根据高分辨导弹制导雷达的基本工作原则和舰船目标的散射特性,利用现有雷达回波的仿真技术,在合理的战术想定下,计算了三类典型舰船的雷达回波.在此基础上,研究了利用雷达回波功率谱的方法来识别目标类型的有效性,并基于混沌理论提出了一种比功率谱方法更加有效的新的识别方法,从而为进一步利用混沌理论来开发雷达目标识别技术奠定了初步的理论基础.     

Aircraft routing under the risk of detection

The deterministic problem for finding an aircraft's optimal risk trajectory in a threat environment has been formulated. The threat is associated with the risk of aircraft detection by radars or similar sensors. The model considers an aircraft's trajectory in three‐dimensional (3‐D) space and represents the aircraft by a symmetrical ellipsoid with the axis of symmetry directing the trajectory. Analytical and discrete optimization approaches for routing an aircraft with variable radar cross‐section (RCS) subject to a constraint on the trajectory length have been developed. Through techniques of Calculus of Variations, the analytical approach reduces the original risk optimization problem to a vectorial nonlinear differential equation. In the case of a single detecting installation, a solution to this equation is expressed by a quadrature. A network optimization approach reduces the original problem to the Constrained Shortest Path Problem (CSPP) for a 3‐D network. The CSPP has been solved for various ellipsoid shapes and different length constraints in cases with several radars. The impact of ellipsoid shape on the geometry of an optimal trajectory as well as the impact of variable RCS on the performance of a network optimization algorithm have been analyzed and illustrated by several numerical examples. © 2006 Wiley Periodicals, Inc. Naval Research Logistics, 2006     

应用最大熵谱估计进行导弹系统的仿真模型验证

探讨了导弹系统仿真模型验证的定量方法。依据最大熵谱估计方法分辨力高的特点，分析其近似统计特性，分别给出了两个样本和两个正态总体的一致性检验方法。仿真结果表明，利用最大熵谱估计进行有效性检验是可行的。最后给出了一个应用实例，应用谱估计方法进行寻的制导导弹数字仿真模型验证     

基于参数优化的SVM联合作战战场建设方案优选

联合作战战场建设方案优选可最大可能降低建设工程的损耗、提高整体建设效益。针对联合作战战场建设方案优选问题进行研究,首先梳理联合作战战场建设方案优选流程,然后构建包括作战保障工程、后勤保障工程、装备保障工程和战场基础信息数据库的指标体系,并提出基于网格搜索和交叉验证优化的改进SVM方法实施方案优选,仿真结果表明优化后参数的性能明显优于默认参数,更加适用于联合作战战场建设方案优选问题。     

隐蔽锥扫雷达波束的交叉点电平

本文根据隐蔽锥扫雷达天线的工作原理,从方向性函数出发,分析了接收状态下高频馈电网络中,和差信号的幅相特性与隐蔽锥扫波束交叉点电平的关系,从而对不能自动跟踪的隐蔽锥扫雷达,从天馈系统方面分析了原因,并为设计和部队维修提供了理论根据和有效方法。     

槽头式野战管线水击波速测量研究

液体管道的水击波速受流体压力、温度、分子结构、含气量及管线几何尺寸、管材等因素的影响,准确地确定管线的水击波速是一个相当困难的问题,通过实验测量水击波速是一个常用方法。管线水击波速的常用测量方法有波前法和周期法。综合运用波前法和周期法,设计了实验测量野战管线的水击波速,并将实验结果与笔者先前提出的水击波速计算公式的计算结果作了对比,验证了公式的有效性。     

隐身飞机RCS测量与成像方法研究综述

隐身飞机已逐步成为大国重器,并将持续发挥重要影响,隐身技术也已成为飞行器设计的关键技术。隐身飞机的雷达散射截面积(radar cross section, RCS)测量是设计、制造、维护隐身飞机的必要手段。从缩比模型的RCS测试、全尺寸飞机室外RCS测试、全尺寸飞机室内近场测试三个方面,回顾了隐身飞机RCS测量的基本流程,总结了隐身飞机RCS近场测量的理论基础,并着重对具有成像诊断功能的近场RCS测量技术进行了梳理与分析。对隐身飞机RCS测量的应用趋势和关键技术进行了总结与展望, 有利于对隐身飞机RCS测量形成总体性了解,并把握RCS测量的发展方向。     

基于地统计方法的滑坡因子敏感度分析

滑坡的发生及演化都与各种滑坡因子之间存在着一定的关联。通过滑坡因子数据探测及其与滑坡相关关系分析，结合地统计方法可确定滑坡因子的敏感度排序，从而确定因子对滑坡发生确定性的影响程度，为武警部队执勤过程中的科学调度提供重要依据。     

Annealing adaptive search,cross‐entropy,and stochastic approximation in global optimization

The Annealing Adaptive Search (AAS) algorithm for global optimization searches the solution space by sampling from a sequence of Boltzmann distributions. For a class of optimization problems, it has been shown that the complexity of AAS increases at most linearly in the problem dimension. However, despite its desirable property, sampling from a Boltzmann distribution at each iteration of the algorithm remains a practical challenge. Prior work to address this issue has focused on embedding Markov chain‐based sampling techniques within the AAS framework. In this article, based on ideas from the recent Cross‐Entropy method and Model Reference Adaptive Search, we propose an algorithm, called Model‐based Annealing Random Search (MARS), that complements prior work by sampling solutions from a sequence of surrogate distributions that iteratively approximate the target Boltzmann distributions. We establish a novel connection between MARS and the well‐known Stochastic Approximation method. By exploiting this connection, we prove the global convergence of MARS and characterize its asymptotic convergence rate behavior. Our empirical results indicate promising performance of the algorithm in comparison with some of the existing methods. © 2011 Wiley Periodicals, Inc. Naval Research Logistics, 2011     

基于时频单源点检测和聚类验证技术的欠定混合盲辨识算法

针对欠定混合盲辨识问题,提出了一种基于时频单源点检测及聚类验证的盲辨识算法。检测各个源信号的时频单源点,利用奇异值分解的方法求解不同单源点集合对应的混合矢量,利用基于k均值的聚类验证技术完成源信号数目和混合矩阵的联合估计。算法放宽了已有方法对时频单源区域的假设,不需要假设信号存在时频单源区域,可以完成仅存在离散的时频单源点条件下的欠定混合盲辨识;同时克服了传统算法需要假设源信号个数已知的不足,可以有效地估计源信号数目。仿真结果验证了算法的有效性。