目标定位和跟踪的神经网络最小二乘估计

首先概述了单目标定位和跟踪的现有研究结论和新问题,接着叙述了神经网络最小二乘估计方法,最后给出了它对第１类和第２类火控系统应用的数学模型     

多雷达多目标航迹跟踪中FMM神经网络的应用与仿真

提出了一种基于Fuzzy Min-Max (FMM)人工神经网络的多雷达多目标航迹跟踪的方法。仿真应用的实验结果表明,这种方法能够有效地完成多雷达多目标的数据融合,并比较理想地实现了多雷达多目标的航迹相关。     

Algorithms for computing waiting time distributions under different queue disciplines for the D-BMAP/PH/1

A queueing system characterized by the discrete batch Markovian arrival process (D-BMAP) and a probability of phase type distribution for the service time is one that arises frequently in the area of telecommunications. Under this arrival process and service time distribution we derive the waiting time distribution for three queue disciplines: first in first out (FIFO), last in first out (LIFO), and service in random order (SIRO). We also outline efficient algorithmic procedures for computing the waiting time distributions under each discipline. © 1997 John Wiley & Sons, Inc. Naval Research Logistics 44: 559–576, 1997     

Matrix-geometric solution of discrete time MAP/PH/1 priority queue

We use the matrix-geometric method to study the discrete time MAP/PH/1 priority queue with two types of jobs. Both preemptive and non-preemptive cases are considered. We show that the structure of the R matrix obtained by Miller for the Birth-Death system can be extended to our Quasi-Birth-Death case. For both preemptive and non-preemptive cases the distributions of the number of jobs of each type in the system are obtained and their waiting times are obtained for the non-preemptive. For the preemptive case we obtain the waiting time distribution for the high priority job and the distribution of the lower priority job's wait before it becomes the leading job of its priority class. © 1998 John Wiley & Sons, Inc. Naval Research Logistics 45: 23–50, 1998     

基于期望系统噪声的自适应机动目标跟踪研究

状态估计是目标跟踪中的基本问题,也是目标跟踪的一个难点。首先对标准IMM算法的优缺点进行了论述,针对其缺点和不足,提出了基于期望系统噪声模型（MIMM）的自适应多模型算法,该算法能有效地对机动目标的状态进行自适应估计。仿真结果表明,该算法比标准的IMM算法有较好的改善。     

一种高超声速飞行器在线反馈滤波算法

高超声速飞行器是近年来各国大力发展的新概念飞行器,针对其飞行运动轨迹难以进行高精度跟踪这一问题,结合神经网络强大的自适应和自学习能力,提出了一种高超声速飞行器在线反馈滤波算法.其核心是在当前统计模型的基础上,利用BP神经网络与卡尔曼滤波相结合进行滤波器设计,实现对高超声速飞行器高精度跟踪.最后通过仿真试验进行比较,验证...     

临近空间高超声速目标上升段拦截需求分析

针对临近空间高超声速目标(NSHT)防御问题,从NSHT的特点出发分析上升段拦截面临的难点,并建立了空基拦截模型,以此为基础分析拦截武器所需的能力并确定其指标,对于拦截系统的建设具有一定的借鉴意义。     

一种新的多传感器多机动目标快速跟踪算法

基于FAFDA滤波算法,根据Houles和Shalom将PDA算法推广到解决两个传感器单目标的跟踪问题的思路中,构造一种两个同类传感器的序列观测数据的融合来跟踪多个机动目标的数据关联方法(MSFAFDA)。它主要使用的是点/航迹联合和序列估计法。算法计算量远小于原先的顺序和并行多传感器联合概率数据关联算法,蒙特卡洛仿真结果也表明它对多机动目标的跟踪具有比FAFDA更好的跟踪性能。     

Na_2SO_4·10H_2O相变过程及其相变潜热的计算

利用CDR-34P差动热分析仪测试Na2SO4·10H2O相变前后的热效应,结合Na2SO4-H2O体系的二元相图,分析相变前后热效应的来源及体系相态、组分的变化;提出无机水合盐相变潜热除来源结晶水脱离外还包括固相物质溶解、溶液浓度梯度变化的热效应的观点;根据上述相变过程计算Na2SO4·10H2O相变潜热,误差仅为2%.     

ARCPI辅助谐振电路优化控制

结合交流全电坦克炮控系统研究的一种三相软开关逆变器——辅助谐振换流极逆变器(Auxiliary Resonant Commutated Pole Inverter,ARCPI)的工作原理,提出了一种辅助谐振电路优化控制方法.采用这种方法,在保证三相逆变器主开关管零电压关断的前提下,可以使辅助开关管的工作次数减少一半,进...