Maritime border control multisensor system

This focuses on the classification task performed into a multi-sensor system for the coastal surveillance. The system is composed of two platforms of sensors: a land-based platform equipped with a land based radar, an Automatic Identification System (AIS) and an infrared camera (IR); an airborne platform carrying an airborne radar that can operate in a spotlight Synthetic Aperture Radar (SAR) mode, a video camera, and a second IR camera. The tasks performed by the system are the detection, tracking, identification, and classification of multiple targets, the evaluation of their threat level, and the selection of an intervention on them. The classification algorithm implemented inside the system exploits an analytical approach based on the confusion matrix (CM) of the imaging sensors that belong to the system. Some measures of effectiveness (MoE) of the system are evaluated, considering both cases where an ideal error-free classification process and a non-ideal classification process are performed.     

Secure Flow: a totally integrated transportation security system

Secure Flow is a holistic, integrated methodology that addresses all security vectors (paths that a terrorist may take to enter a threat object into the transportation system), allowing people, baggage, and cargo to move via various transportation systems in a secure fashion, while maintaining an "ease of access" to these diverse systems through innovative technology, procedures, and training. Secure Flow is a totally integrated transportation security system. It is a strategic program with multiple integration projects each being a vector such as: checked baggage, checkpoint, cargo/mail, airport, aircraft, port terminal, and cruise ships. Secure Flow identifies requirements for the establishment of protocols, standards, communications, and development of technologies to link deployable security equipment into a totally integrated transportation security system. The objective of Secure Flow is to secure the flow of passengers, baggage, and cargo from origin to destination to meet the operationally viable needs of the future seamless US Transportation System for the traveling public.     

关于隐身目标检测与跟踪的几点思考

隐身武器装备的出现和发展对传统雷达的检测与跟踪性能构成了严峻的威胁。首先,分析了隐身目标检测与跟踪中存在的一些关键问题;然后,对高机动隐身目标、多隐身目标、机载高脉冲重复频率雷达的多隐身目标等检测与跟踪问题进行了初步的探讨,并提出了一些可行的解决方案。     

结合核相关滤波器和深度学习的运动相机中无人机目标检测

针对无人机与相机快速相对运动造成的运动模糊问题，以及小型无人机外观信息缺失和背景复杂造成漏警和虚警问题，提出了一种新的无人机检测-跟踪方法。针对成像尺寸小于32像素×32像素的无人机目标，提出改进的多层特征金字塔的分类和目标框回归器作为目标检测器，克服漏警。利用检测结果初始化基于核相关滤波的目标跟踪器，并持续修正跟踪结果，跟踪结果为剔除检测器虚警提供依据。在跟踪过程中，引入对观测场景纹理自适应的相机运动补偿策略实现目标重定位。多场景下的实验结果表明：提出的方法在对高速运动小目标的检测和跟踪指标上显著优于传统方法，且运动补偿机制的引入进一步增强了方法在极端复杂场景下的鲁棒性。     

Countermeasures of command and control (C2) capabilities in a hostile environment

For a military airborne platform to survive in a hostile battlefield environment, the rapid detection and geo-location of an enemy (or terrorist) gunner is highly desirable. One approach is to develop an electronic countermeasure system against the gunner's command and communication (C2) capabilities, specifically the usage of modern wireless phones. Such a countermeasure system conducts a quick detection and geo-location of the targeted (hostile) mobile wireless subscriber, allows the airborne platform to make appropriate decisions: 1) to divert and avoid potential military conflicts; 2) to cue artillery supports and prepare for attack; or 3) to relay the coordinates of the potential threat to his own command and control units. In this paper, we discuss the technical approach of the countermeasure system, especially in two design areas: 1) detection and tracking of enemy C2 signals; and 2) geo-location of a targeted communication link.     

综合导航系统信息融合模拟仿真平台设计CSCD

为解决综导系统的信息融合问题,设计了一种新型的综导系统信息融合模拟仿真研究平台。平台包括综导信息融合模拟评估导调台、惯性类导航设备模拟器、非惯性类导航设备模拟器、综合导航模拟器、电子海图系统和数据分析服务器六大模块。导调台采取一种新的船舶运动参数发生器模拟生成多种海况条件下船舶运动参数;综合导航模拟器采取多种融合算法并行运行方式,以方便比较不同算法的性能;数据分析服务器采用高性能计算机模拟公共计算环境,可研究适应未来船舶软硬件计算资源的信息融合方法。系统测试表明,基于平台的导航信息融合流程和效果满足要求,所设计的平台系统功能正常,可直接用于舰船信息融合算法的设计、分析、测试评估等工程研发工作。     

USME:统一SLAM度量与评测技术研究

同时定位与建图(SLAM)技术近年来得到迅速发展,但由于缺乏在统一框架下对算法的度量和比较,对SLAM的客观评估和应用造成障碍。提出了统一SLAM度量与评测(USME)框架,从指标体系、数据集及评测方法三个维度为各种SLAM方法的性能度量及比较研究提供基准。针对不同场景,建立了包括长时间运行漂移量,闭环检测能力,存在相机遮挡、光照变化和运动物体时SLAM方法的鲁棒性,以及多体协同性能等的综合性能指标体系。基于三维仿真平台,以指标体系为基准建立了合成数据序列及对应数据集,以对性能指标进行度量与评估。还建立了平均指标均值的数据处理与评测方法,以综合评价不同参数选择对方法性能的影响。通过典型SLAM方法验证了上述方法的可行性。     

一种导航精度的综合评估表示方法

为了评估表示导航系统精度, 提出一种基于雷达图的综合评估表示方法, 包括速度、位置、姿态精度的评估表示。雷达图具有可视化的优点, 便于进行优劣分 析、综合评价,因此可以直观地将导航系统的精度表达出来。以捷联惯导系统和全球卫 星定位系统的组合导航系统精度对比分析为例进行研究,采用雷达图的方式取得了较好 的对比分析效果。将雷达图应用在组合导航系统的精度评估中,可简明直观地考核其精 度和性能,这为导航系统精度评估表示提供了一种有效的手段。     

系统可靠性维修性分配软件设计

设计的系统可靠性维修性分配软件是为工程人员进行系统可靠性维修性分配计算提供的软件平台,采用了扩展二叉树(左父右子树)算法、OLE技术、数据库技术等,通过C 语言,完成了分配模型建立、可靠性分配算法、维修性分配算法、报表输出、数据库操作等模块的编制工作。从软件工程的角度分别对各个开发阶段的工作,及其功能实现做了具体的阐述。最后,对本系统进行了综合测试,获得了较好的效果,满足了工程准度和精度的要求,提高了系统可靠度分配的效率,为工程应用提供了有力的平台。     

基于灰色关联TOPSIS 法的要地防空威胁评估

针对要地防空作战目标威胁评估问题,提出一种基于灰色关联TOPSIS的评估新方法对目标威胁进行综合 排序。首先,确立要地防空目标威胁评估指标体系,在对初始数据进行预处理的基础上采用熵权法和AHP法组合 确定指标权重,避免主观决策带来的误差。其次,依据量化理论对威胁评估指标进行定量处理,建立了基于灰色关 联TOPSIS法的威胁评估模型,运用灰色关联TOPSIS法计算相对贴近度参数,从而实现对空袭目标威胁大小的排 序。最后,通过防空作战目标威胁评估实例进行验证,结果表明该方法可靠有效。     

Distributed intelligent self-organized mission planning of multi-UAV for dynamic targets cooperative search-attack

This article studies the cooperative search-attack mission problem with dynamic targets and threats, and presents a Distributed Intelligent Self-Organized Mission Planning (DISOMP) algorithm for multiple Unmanned Aerial Vehicles (multi-UAV). The DISOMP algorithm can be divided into four modules: a search module designed based on the distributed Ant Colony Optimization (ACO) algorithm, an attack module designed based on the Parallel Approach (PA) scheme, a threat avoidance module designed based on the Dubins Curve (DC) and a communication module designed for information exchange among the multi-UAV system and the dynamic environment. A series of simulations of multi-UAV searching and attacking the moving targets are carried out, in which the search-attack mission completeness, execution efficiency and system suitability of the DISOMP algorithm are analyzed. The simulation results exhibit that the DISOMP algorithm based on online distributed down-top strategy is characterized by good flexibility, scalability and adaptability, in the dynamic targets searching and attacking problem.     

无人机自动着陆中的机器视觉辅助技术

设计了一套辅助无人机自动着陆的机器视觉系统。该系统由机载硬件设备和用户开发软件共同组成,用以完成数字图像处理任务和无人机运动参数估计任务。系统传感器包括一个单目摄像机和机载惯性陀螺;数字图像处理使用的主要算法有图像的轮廓提取、角点检测和模版匹配。基于角点处各个方向上灰度差变化较大的特征,依据最小核值相似(SUSAN)算法和角点几何结构分析,提出一种改进的角点特征提取算法;根据任务开发的位置参数估计算法依据摄像机透视投影理论,运用摄像机成像标定方法导出了一种高精度的位置测量模型。通过计算机仿真表明,所提出的计算机视觉位置参数估计算法可以达到无人机着陆过程的精度要求。     

Multiple hypothesis track confirmation for infrared surveillancesystems

An overall methodology is described for the application of a multiple hypothesis tracking (MHT) algorithm to the infrared (IR) surveillance system problem of establishing tracks on dim targets in a heavy clutter or false alarm background. The authors discuss the manner in which the detection and tracking systems are jointly designed to optimize performance. They present approximate methods that can conveniently be used for preliminary system design and performance prediction. They discuss the use of a detailed Monte Carlo simulation for final system evaluation and present results illustrating the proposed methods and comparing predicted and simulation performance     

车载GPS复合定位系统仿真研究

研究了基于ＧＰＳ的复合定位车载系统仿真方法,建立了车辆移动轨迹发生器、移动轨迹测量和各种敏感器模型,通过计算机仿真,可以进行室内“模拟跑车”试验,从而为设计系统所关心的问题如总体定位精度等的研究提供了一个模拟试验平台。     

复杂作战环境下空中目标威胁程度评估

对敌空中目标威胁程度评估是一个多因素综合评判问题。文章在建立了来袭空中目标威胁程度指标体系的基础上,综合利用改进的模糊层次分析法和集对分析法建立了评估模型,对复杂作战环境下的空中目标威胁程度进行了评估,仿真实例表明此模型可行。     

Microsatellite Laser Altimeter

A feasibility study is presented of a laser altimeter conceived as an auxiliary device of an imaging camera to perform stereo pairs correction by high accuracy range measurements. System configuration is compliant to microsatellite constraints and is integrated to a high-resolution imaging sensor. System performance analysis is carried out by means of analytical models and computer codes and plots are presented to select key parameters allowing definition of a preliminary laser altimeter configuration     

基于SAR图像匹配结果可信度评价的INS/SAR自适应Kalman滤波算法

在惯性导航系统（INS）/合成孔径雷达（SAR）组合导航系统中，SAR图像易受斑点噪声的影响，图像匹配的精度对整个导航系统精度的影响十分明显，能够准确地分析SAR图像匹配过程中的误差特性，利用有效的图像匹配信息辅助INS进行组合定位尤为重要。针对上述问题，在加权Hausdorff距离匹配算法的基础上，对影响SAR图像匹配精度的因素进行了分析，提出了一种基于模糊推理的匹配结果可信度评价准则，经过可信度筛选，将有效的匹配信息与INS进行组合；对合理范围内的匹配误差变化引起量测噪声统计特性发生变化，进而导致Kalman滤波精度下降的问题，研究采用改进的Sage-Husa自适应滤波算法对量测噪声方差阵进行动态调整，使其更加接近系统的当前状态。搭建仿真验证平台对所提算法进行了验证，结果表明，该算法能够在合理的匹配误差范围内，有效地筛选出可信的图像匹配结果，相比常规Kalman滤波算法，显著地提升了INS/SAR组合导航系统水平方向的定位精度。     

基于联邦滤波结构的INS／GPS组合导航系统数据融合研究

为了研究平台式惯导INS（interial navigation system）和全球定位系统GPS（globe position system）组合导航联邦滤波器的实现,使用速度局部滤波器和位置局部滤波器,分别对INS／GPS组合导航系统的向东速度、向北速度,以及对经度和纬度进行卡尔曼滤波,然后将位置数据和速度数据输入主滤波进行数据融合。以无人机的向东匀速水平飞行为背景,运用联邦卡尔曼滤波器算法,使用matelab进行仿真分析。可以证明联邦滤波器算法简单,易于实现,并且可以提高导航系统精度．实际应用中此方法可行。     

基于预警直升机的驱护舰编队防空作战目标威胁评估

空中威胁尤其是各种平台发射的反舰导弹日益成为编队主要的威胁因素。防空作战中,利用舰载预警直升机前出探测以提供早期预警信息是提升驱护舰编队防空作战能力的主要措施。目标威胁评估是预警直升机预警探测的重要环节。根据当前空中作战平台性能发展变化,选取多个威胁指标,采用改进的TOPSIS建立评估模型,并用实例仿真验证其可行性,为编队辅助决策提供依据。