Sensor radiation interception risk control in target tracking

This paper is mainly on the problem of radiation interception risk control in sensor network for target tracking. Firstly, the sensor radiation interception risk is defined as the product of the interception probability and the cost caused by the interception. Secondly, the radiation interception probability model and cost model are established, based on which the calculation method of interception risk can be obtained. Thirdly, a sensor scheduling model of radiation risk control is established, taking the minimum interception risk as the objective function. Then the Hungarian algorithm is proposed to obtain sensor scheduling scheme. Finally, simulation experiments are mad to prove the effectiveness of the methods proposed in this paper, which shows that compared with the sensor radiation interception probability control method, the interception risk control method can keep the sensor scheduling scheme in low risk as well as protect sensors of importance in the sensor network.     

一种确定检测时间的方法

在许多作为侦察用的无源传感器只报出其检测结果时,利用此传感器一系列检测报告确定被检测目标何时进入及何时离开此传感器检测区域,成为解决决策级信尽融合问题的关键。本文讨论了一种利用序贯分析方法计算检测时间的近似方法。     

无线传感器网络中多传感器动态自适应调度算法

无线传感器网络中,目标跟踪往往通过节点之间的协作完成。在无迹变换卡尔曼滤波基础上,提出一种多传感器动态自适应调度算法进行目标跟踪。该方法根据预测跟踪精度来确定采样间隔,然后基于特定的检测概率,为下一时刻选择一组传感器,形成一个临时工作组,并指定某一个传感器作为中心节点进行数据融合。仿真结果证明了该算法能有效提高跟踪精度和可靠性。     

线导鱼雷的导引算法、方法和方案及使用性能

依据水下平台获取目标信息的特点和线导鱼雷的导引机制,阐述了线导鱼雷导引控制有关术语的概念、解决的问题及相互关系,指出改善线导鱼雷导引使用性能的根本环节在于对导引方案的优化。通过对“自动导引”方案存在问题的分析,提出优化线导鱼雷导引方案,必须突破依靠单一探测器和“全程跟踪”观念的束缚,充分利用来自各种渠道的目标信息和鱼雷的速度资源,发挥作战使用者的主导地位,才能提高其适应复杂作战环境的能力,进而发挥出武器装备应有的作战效能。     

基于结构加权的海面编队预定目标选择方法

海面目标运动和编队阵型的约束特性,使得通过对装订阵型和末制导探测阵型进行点集匹配来选择预定目标成为一种有效途径。但当编队目标释放干扰时,会引起阵型结构发生局部变化,导致目标选择性能恶化。本文基于反舰导弹目标选择需求,分析了传感器导航和探测误差、装订信息误差、编队目标运动和释放干扰等因素所引起的位置点集变形,通过利用阵型中未污染的结构信息,提出了基于几何散列法和结构加权平均Hausdorff距离的编队预定目标选择方法。理论分析和实验结果表明,该方法不受传感器导航误差和编队目标整体运动的影响,在编队存在冲淡干扰时能有效提高目标选择能力。     

多传感器信息的表决融合

介绍了一种多传感器信息综合方法─—表决融合。这种方法的前提是各传感器自身的处理器完成对各自的原始探测信息的处理,处理结果以合乎要求的形式输入融合中心,以便融合中心能以表决的形式进行融合处理。由于融合中心没有复杂的信息处理任务,因此,十分便于工程实现。作为例子,本文给出的是一个３传感器目标检测系统,每个传感器都定义了置信级别。融合中心的工作就是利用各传感器的检测结果和相应的置信水平来进行融合处理的。最后,还对文献１进行了探讨。     

基于正则化的多平台导航定位及探测偏差估计方法

影响舰载雷达探测误差主要为平台导航定位误差和传感器自身探测误差,针对对这两类误差的影响因素进行了分析,首次综合考虑这两种系统误差,提出了一种基于正则化的多平台导航定位及探测偏差估计方法,利用不同舰艇上传感器对公共目标探测的迭合条件,建立系统误差观测方程,利用LS对两种系统误差同时进行了估计,并在偏差估计中采用正则化估计方法,提高估计结果的稳定性,最后进行了仿真验证,仿真效果验证了算法的有效性,具有较高的工程应用价值.     

多重优化的分布式无线覆盖探测算法

为满足无线通信网络信号覆盖有效性的实时实地可重复探测的需求,提出一种基于传感器网络的分布式无线覆盖探测算法。通过随机部署于目标区域内的无线传感器节点对无线通信网接收信号强度进行感知和预处理;利用变异函数构造新的BP神经网络目标函数,通过改进粒子群算法优化其初始权值和阈值;利用训练好的网络模型对存在探测盲区的目标区域进行插值估计,并联合传感器节点采集到的数据生成无线通信网络等信号强度线。仿真结果表明,所提算法比其他经典算法具有更高的精度,可有效探测目标区域无线通信网络的信号覆盖情况。     

突防过程的组网雷达干扰资源优化分配

以组网雷达融合中心检测概率为目标函数,建立针对组网雷达系统的干扰资源优化分配模型.并进一步指出该模型运用于飞行器突防时,其不足之处在于"以点带面",以飞行器突防过程中某一点的融合中心检测概率代替整个突防过程时,该评估方法损失过程中的大量信息.在此基础上充分利用突防过程的信息,提出以"融合中心检测概率加权积分"为目标函数,建立基于突防过程的干扰资源优化分配模型.仿真结果表明具有一定的指导意义.     

基于Rényi信息增量的机动目标协同跟踪算法

针对基于多传感器组网进行机动目标跟踪的传感器管理问题,提出了一种基于Rényi信息增量的机动目标协同跟踪算法。首先结合"当前"统计模型和交互式多模型不敏卡尔曼滤波算法设计了一种变结构多模型算法,来进行机动目标的状态估计;然后以Rényi信息增量为评价准则,选择使Rényi信息增量最大的单个传感器进行目标跟踪;最后利用得到的最优加速度估计进行网格划分,更新变结构多模型中的模型集合。在一般机动及强机动场景下进行了算法性能分析,仿真结果表明,该算法能够合理地选择传感器,提高了对机动目标的跟踪精度。     

空间预警系统建立导弹目标优先级的多属性决策

空间预警系统在多传感器多目标的情况下需要传感器调度,而建立目标优先级是有效进行传感器调度的第一步。由星载传感器所得图像对目标特征进行估计具有很大的不确定性,直接影响到导弹目标优先级的建立。首先通过作战分析确定出导弹目标的主要属性,采用层次分析法评价属性的权重,然后在不确定的条件下对属性求期望值,使用3种多属性决策方法评价导弹目标的威胁程度,最后取期望值作为导弹目标的威胁评价。正交实验结果表明算法具有很强的实时性和实用性。     

Rényi信息增量和协方差联合控制的多传感器管理算法

针对目标跟踪中雷达组网场景下多传感器管理问题,结合Rényi信息增量和协方差两种算法各自特性,利用并行处理的思想提出了一种基于Rényi信息增量和协方差联合控制的传感器管理算法。在具体仿真设计环节,分为传感器跟踪能力大于目标数和传感器跟踪能力小于目标数两种场景。仿真结果表明该算法在单目标匀速、多目标匀加速等多数场景下能够对目标进行有效跟踪,同时降低了传感器的切换频率,具有更好的实时性。     

基于动态罚函数遗传算法的电磁探测卫星多星规划方法

针对电磁探测卫星的特点,考虑其主要约束条件,建立了多星联合规划数学模型,提出了基于遗传算法的电磁探测卫星多星规划算法.为处理遗传算法迭代过程中产生的不可行解,引入了基于罚函数法的约束处理方法.针对罚函数法中惩罚系数难以确定的特点,设计了惩罚系数自适应调整的动态罚函数机制.根据模拟的数据进行实验及分析,表明该方法能有效解决电磁探测卫星多星规划问题.     

干扰条件下空中目标识别方法研究

目标识别是态势评估和威胁估计的基础,是作战指挥辅助决策的重要依据,是防空作战的关键环节之一。该文将雷达信息可信度扩展到传感器信息可信度,并基于扩展内涵的目标识别信息可信度,提出一种应用对空侦察雷达、光学器材、ESM传感器的空中目标识别方法,完成干扰条件下空中目标识别模块的设计。该方法依靠目标识别信息可信度较高的传感器信息来做出全局判决,有助于提高整个系统目标识别的可靠性。     

Fast-armored target detection based on multi-scale representation and guided anchor

Focused on the task of fast and accurate armored target detection in ground battlefield, a detection method based on multi-scale representation network (MS-RN) and shape-fixed Guided Anchor (SF-GA) scheme is proposed. Firstly, considering the large-scale variation and camouflage of armored target, a new MS-RN integrating contextual information in battlefield environment is designed. The MS-RN extracts deep features from templates with different scales and strengthens the detection ability of small targets. Armored targets of different sizes are detected on different representation features. Secondly, aiming at the accuracy and real-time detection requirements, improved shape-fixed Guided Anchor is used on feature maps of different scales to recommend regions of interests (ROIs). Different from sliding or random anchor, the SF-GA can filter out 80% of the regions while still improving the recall. A special detection dataset for armored target, named Armored Target Dataset (ARTD), is constructed, based on which the comparable experiments with state-of-art detection methods are conducted. Experimental results show that the proposed method achieves outstanding performance in detection accuracy and efficiency, especially when small armored targets are involved.     

线导加尾流自导鱼雷保持距离导引法

依据线导加尾流自导鱼雷捕获和跟踪目标尾流的特殊要求,分析了现有导引方法的不足。利用鱼雷位置点与目标方位线之间的几何关系,提出了"保持距离导引法"的概念、建立了线导加尾流自导鱼雷的导引模型,从根本上消除了通过估计目标距离而确定目标方位修正量的困难,并通过仿真计算分析了这种方法的特点及作战应用的可行性。     

A new energy efficient management approach for wireless sensor networks in target tracking

This paper mainly studied the problem of energy conserving in wireless sensor networks for target tracking in defensing combats. Firstly, the structures of wireless sensor nodes and networks were illustrated; Secondly, the analysis of existing energy consuming in the sensing layer and its calculation method were provided to build the energy conserving objective function; What's more, the other two indicators in target tracking, including target detection probability and tracking accuracy, were combined to be regarded as the constraints of the energy conserving objective function. Fourthly, the three energy conserving approaches, containing optimizing the management scheme, prolonging the time interval between two adjacent observations, and transmitting the observations selectively, were introduced; In addition, the improved lion algorithm combined with the Logistic chaos sequence was proposed to obtain sensor management schemes. Finally, simulations had been made to prove the effectiveness of the proposed methods and algorithm.     

Visual-attention gabor filter based online multi-armored target tracking

The multi-armored target tracking (MATT) plays a crucial role in coordinated tracking and strike. The occlusion and insertion among targets and target scale variation is the key problems in MATT. Most state-of-the-art multi-object tracking (MOT) works adopt the tracking-by-detection strategy, which rely on compute-intensive sliding window or anchoring scheme in detection module and neglect the target scale variation in tracking module. In this work, we proposed a more efficient and effective spatial-temporal attention scheme to track multi-armored target in the ground battlefield. By simulating the structure of the retina, a novel visual-attention Gabor filter branch is proposed to enhance detection. By introducing temporal information, some online learned target-specific Convolutional Neural Networks (CNNs) are adopted to address occlusion. More importantly, we built a MOT dataset for armored targets, called Armored Target Tracking dataset (ATTD), based on which several comparable experiments with state-of-the-art methods are conducted. Experimental results show that the proposed method achieves outstanding tracking performance and meets the actual application requirements.     

基于目标距离像的地面目标检测和跟踪

本文阐述了高分辨率一维距离成像的原理,提出了一种基于目标距离像的目标信号检测和跟踪方法。理论分析与模拟结果表明,通过目标距离像可以测量出目标的一部分强散射中心;强散射中心信息的综合利用,可以提高信干比并改善检测和跟踪性能。因此利用目标距离像可以较好地解决强地物杂波背景下目标信号的检测和跟踪问题。