As-IPDA算法的天波超视距雷达目标跟踪研究

天波超视距雷达(OTHR)具有低数据率、低检测概率和低量测精度特征对目标跟踪提出挑战.针对OTHR在低检测概率下跟踪目标存在失跟率高的问题,将As-IPDA算法应用到OTHR目标跟踪中,通过大量的仿真实例验证了As-IPDA算法在超视距雷达目标跟踪应用中的可行性,并分析了平滑步长、航迹存在性转移参数、目标检测概率对算法性能的影响,给出了算法参数选择建议,为工程应用提供理论参考.     

The building evacuation problem with shared information

In this article, the Building Evacuation Problem with Shared Information (BEPSI) is formulated as a mixed integer linear program, where the objective is to determine the set of routes along which to send evacuees (supply) from multiple locations throughout a building (sources) to the exits (sinks) such that the total time until all evacuees reach the exits is minimized. The formulation explicitly incorporates the constraints of shared information in providing online instructions to evacuees, ensuring that evacuees departing from an intermediate or source location at a mutual point in time receive common instructions. Arc travel time and capacity, as well as supply at the nodes, are permitted to vary with time and capacity is assumed to be recaptured over time. The BEPSI is shown to be NP‐hard. An exact technique based on Benders decomposition is proposed for its solution. Computational results from numerical experiments on a real‐world network representing a four‐story building are given. Results of experiments employing Benders cuts generated in solving a given problem instance as initial cuts in addressing an updated problem instance are also provided. © 2008 Wiley Periodicals, Inc. Naval Research Logistics, 2008     

船舶静态电场跟踪的渐进更新扩展卡尔曼滤波器

为了实现利用船舶静态电场对船舶进行跟踪的目的,针对传统卡尔曼滤波算法中存在的问题,设计一种新的非线性滤波器。建立船舶的状态空间模型,分析传统卡尔曼滤波算法在船舶跟踪中存在的问题;依据渐进贝叶斯思想,利用连续白噪声与离散白噪声序列噪声协方差之间的关系,设计一种新的渐进更新扩展卡尔曼滤波器。仿真结果表明,该滤波器能有效地抑制由于初始误差较大而造成的滤波性能下降和滤波发散,能够有效地跟踪船舶,具有较高的实用价值。     

基于IMM滤波器的纯方位机动目标跟踪

针对无源纯方位跟踪中目标机动的问题,提出了一种基于交互式多模型的目标跟踪算法。该算法用伪量测变换估计器(PLE)将纯方位跟踪中非线性观测模型线性化,避免了计算雅克比行列式。机动目标跟踪中通过实时调整模型匹配概率,提高了滤波器对状态变化的跟踪能力。同时该算法实时修正观测噪声协方差,消除目标远离基阵时观测噪声对目标定位的影响。最后通过与MGEKF进行比较,Monte Carlo仿真结果验证了该算法的优越性。     

一种BP神经网络算法的改进模型

首先对BP网络的结构和算法进行了分析,针对BP网络收敛速度慢,容易陷入局部极小等问题,提出了一种改进的BP网络模型,并对该模型算法进行了改进,通过激活函数的选择,网络的初始化,学习率的调整和训练样本数据的处理等方法,可实现加快网络的收敛速度,并且较好的解决局部最优问题.     

A facility reliability problem: Formulation,properties, and algorithm

Having a robustly designed supply chain network is one of the most effective ways to hedge against network disruptions because contingency plans in the event of a disruption are often significantly limited. In this article, we study the facility reliability problem: how to design a reliable supply chain network in the presence of random facility disruptions with the option of hardening selected facilities. We consider a facility location problem incorporating two types of facilities, one that is unreliable and another that is reliable (which is not subject to disruption, but is more expensive). We formulate this as a mixed integer programming model and develop a Lagrangian Relaxation‐based solution algorithm. We derive structural properties of the problem and show that for some values of the disruption probability, the problem reduces to the classical uncapacitated fixed charge location problem. In addition, we show that the proposed solution algorithm is not only capable of solving large‐scale problems, but is also computationally effective. © 2009 Wiley Periodicals, Inc. Naval Research Logistics, 2010     

声纹鉴别及其应用

声纹是人说话声音的频谱图 ,由于人的个性 ,决定了不同人声纹的差异性 ,因此 ,声纹识别或声纹鉴定能够确定说话人的身份。声纹鉴别在很多领域有着广泛的应用价值和前景 ,这里 ,简单介绍声纹和声纹鉴定与识别的概念及其应用的历史与现状 ,探讨声纹鉴别的方法原理和步骤 ,讨论声纹鉴别在个人身份证明、刑事侦察、军事、通信、防伪等领域的应用 ,展望声纹鉴别的应用前景。     

加强约束的布尔可满足硬件求解器

利用现场可编程门阵列固有的并行性和灵活性,提出在硬件可编程平台上基于随机局部搜索算法的布尔可满足性求解器,用于求解大规模的布尔可满足性问题。相对其他求解器,该求解器的预处理技术能极大提高求解效率;其变元加强策略避免了同一变元被反复连续翻转,降低了搜索陷入局部最优的可能。评估结果表明,求解器最多能处理32 000个变元/128 000个子句的实例。相比当前同类型的求解器,其求解效率明显提高。     

基于MGEKF的单站无源定位跟踪算法

单站无源定位跟踪技术具有隐蔽性强、设备简单,系统相对独立等优点,有着广阔的应用前景.为了提高定位精度和收敛速度以满足实时化需求,在现有的基于多普勒变化率的单站无源定位算法的基础上.详细推导了基于MGEKF的定位算法以解决EKF算法的不稳定性,并通过计算机仿真比较了两种算法的性能,结果表明MGEKF定位算法提高了定位精度、收敛速度和稳定度,定位结果能够满足实际需求.     

无先验信息排除无源交叉定位虚假交点的新方法

提出了一种排除无源交叉定位虚假交点的新方法,称为四边形分组法.该方法通过将无源交叉定位产生的四边形进行分组来区分真实交点和虚假交点.这种方法只需要测向信息,不需要任何其他先验信息.该方法无需先验信息.仿真结果表明,该方法是有效的,运算速度快,对水平编队目标群定位精度高.