无人机先进地面站关键技术综述

具有沉浸显示、智能辅助、自然化人机交互等先进控制能力的新型无人机地面站已成为当前无人机控制领域的研究热点。为分析其中的技术脉络,系统性地梳理国内外一系列无人机先进地面站的功能要点及设计理念,在此基础上从无人机地面站指挥控制的观察—判断—决策—行动回路出发,归纳提炼了其技术体系构成,分析指出了其中的任务环境构建、战场态势沉浸式显示、智能化辅助决策和自然化人机交互等关键技术,并对各项技术的主要研究方法进行了深入剖析,还对无人机先进地面站目前存在的挑战和未来发展趋势进行了研判。该研究对新型地面站的研制具有指导和借鉴意义。     

运载火箭伺服机构故障检测与诊断的扩展多模型自适应方法

针对运载火箭伺服机构故障,提出一种基于扩展多模型自适应估计的故障检测与诊断算法。建立考虑伺服机构故障的运载火箭姿态动力学模型;将故障角度作为状态变量得到增广状态空间模型;利用扩展卡尔曼滤波器进行状态向量和故障参数的非线性估计,并基于传感器测量数据采用假设检验算法在线计算故障发生的概率;给出基于扩展多模型自适应估计的故障检测与诊断算法流程。仿真结果表明,该方法在无故障时可对伺服机构进行健康监测;在单台伺服机构故障下,可以及时准确判断出哪一台芯级伺服机构发生故障,并可准确估计出伺服机构故障下的发动机摆角角度。     

自适应网格交互多模型算法

研究和设计了一种模型集合自适应方法——自适应网格方法。并将其与交互多模型算法相结合,提出了自适应网格交互多模型(AGIMM)算法,它是一种变结构多模型算法。仿真显示它能有效地提高IMM估计器的费效比。     

多假设跟踪技术综述

从工程应用的观点出发,对多假设跟踪技术进行综述。描述了从多假设跟踪的萌芽——多目标跟踪的0-1整数规划法,到多假设跟踪方法的形成;由于假设生成过程是算法复杂性决定性的因素,其中量测个数和航迹合并长度又起关键作用。对该问题进行了重点的回顾;进一步MHT实用化的关键是如何克服算法的复杂性,K-最优假设法为算法应用带来希望。同时,对多假设跟踪其它相关技术的发展也进行了简要叙述。     

多基阵无源声测定位算法的研究与仿真

对直升机等低空飞行目标的无源声测定位与跟踪是声学监视系统的重要研究内容。对多基阵低空飞行目标的无源声测定位方法进行了研究,并导出了定位算法和定位误差。理论分析和仿真实验表明,利用单基阵的方位和俯仰角进行多基阵融合定位时,无源声测定位系统有较高的定位精度,而且布阵形式对定位精度有一定的影响。该研究成果可直接用于对空中运动目标,如无人机等目标的无源声测定位。     

专家系统和多目标决策理论在抗沉决策系统中的应用

应用专家系统理论建立了抗沉规则库,确定了方案产生逻辑,同时运用多目标决策理论中的简单加性加权法建立了数学模型,对多方案抗沉效果进行了综合评估．成功地解决了舰艇生命力指标间的相互制约、相互影响的问题,为抗沉优化决策提供了新的思路和方法．     

利用复单脉冲比的平面阵列雷达群目标检测方法

针对平面阵列雷达群目标检测问题,以矩形阵为例,详细分析方位向和俯仰向复单脉冲比虚部的统计特性;建立平面阵列雷达群目标检测模型,根据恒虚警检测原理推导复单脉冲比虚部的椭圆判决域,并利用复单脉冲比实部辅助判决,综合提出基于复单脉冲比的平面阵列雷达群目标检测算法。针对双目标情形进行仿真实验,结果表明:在较高信噪比、较大角度间隔以及幅度相当且相位差较大的条件下算法能够有效检测群目标。     

Impacts of sequential acquisition,market competition mode,and confidentiality on information flow

We investigate information flow in a setting in which 2 retailers order from a supplier and sell to a market with uncertain demand. Each retailer has access to a signal. The retailers can disclose signals to each other (horizontal information sharing), while the supplier can solicit signals by offering retailers differential payments as incentives for signal disclosure (vertical information acquisition). In the base setting, market competition is in quantity, and a retailer can fully infer the signal that the other retailer discloses to the supplier. We show that the supplier prefers to sequentialize the procedure for information acquisition. Moreover, vertical information acquisition by the supplier is a strategic complement to horizontal information sharing between the retailers to establish information flow. In the equilibrium, the retailers have no incentive to exchange signals, but system wide information transparency can be realized through a combination of information acquisition and inference. We further study the signaling effect, whereby the supplier utilizes wholesale pricing as an instrument to affect the retailers' inference of the shared signals, and price competition to explore their impacts on the supplier's preference for sequential acquisition and the sustainability of information flow.     

Meaning of working and expectations: a research on professional soldier candidates in Turkey

Previous studies on the relationship between individual’s enlistment decisions and their personal characteristics examined a number of variables such as age, marital status, gender, family background, geographical background, employment situation and education level. However, attitudes towards working, expectations from a good job and centrality of working are also important determinants in this process. This paper examines the profile of juveniles who seek a career as gendarmerie non-commissioned officers (NCO) in the Turkish Armed Forces and their attitudes and expectations towards working in general within the framework of Meaning of Working (MOW) researches. According to the results of the survey conducted with 500 NCO candidates in Turkey, learning something new, good relations with colleagues and employment guarantee are detected as the main expectations of juveniles who seek a career in military. Results also show that having a job is so important for these young people that they consider having a job even prior to their families.     

交互式多模型目标跟踪的研究现状及发展趋势

系统地介绍了交互式多模型算法在机动目标跟踪领域中的发展现状、发展方向及其与数据关联相结合进行目标跟踪的发展趋势.通过分析交互式多模型算法本身存在的问题,指出了一些改进方法的可行性与不足;进一步介绍了数据关联与交互式多模型算法结合进行目标跟踪的发展情况及取得的成果,并对以后与交互式模型相关的研究方向进行了探讨.