近程防空武器网络化跟踪系统

研究多探测器航迹滤波与互联新技术与新方法,把数据融合的基本理论和计算机网络技术应用于近程防空武器的跟踪系统中,得到了近程防空武器网络化跟踪系统的框架.应用数据融合和计算机网络技术可以提高近程防空武器的使用效率.     

舰载雷达中频信号仿真设计与实现

为满足舰载传感器或武器系统论证、设计、试验、评估、训练等全生命周期的应用,对新型舰载警戒探测与跟踪雷达中频信号模拟器的系统体系和组成进行了探讨,介绍了系统的功能和技术指标,重点研究了软件无线电在雷达中频信号模拟中的应用、雷达电磁环境和目标回波仿真等一些关键技术,包括目标航迹模拟、目标回波模拟、杂波信号模拟、雷达接收天线仿真、雷达天线方向图仿真等.采用软件无线电技术和软硬件相结合的方法较逼真地实现了海战场复杂电磁环境下雷达中频信号的模拟.     

低频UWBSAR辐射校准模型

低频超宽带合成孔径雷达(Ultra Wide Band Synthetic Aperture Radar,UWBSAR)的辐射校准是系统研制和应用过程中必须面对的课题。低频UWBSAR的特点使得常规SAR辐射校准技术不再适用。充分考虑校准参数随频率和方位角的变化,给出适合该系统的辐射校准方法,得到低频UWBSAR图像辐射校准模型。利用该模型,对系统辐射校准误差进行了分析。     

基于气动-弹道一体化模型的飞行器外形优化设计

为提升飞行器气动外形优化设计效果,研究了新型飞行器在大空域、宽速域范围的气动适应性问题,提出一种基于气动-弹道一体化模型的外形优化设计方法.通过考虑气动和弹道的耦合作用,综合利用类型函数/形状函数转换技术、气动工程估算方法和Radau伪谱法,建立飞行器气动-弹道一体化模型.基于该模型,通过明确优化目标和约束条件,给出基...     

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.     

Cross-linking density and aging constitutive model of HTPB coating under prestrain thermal accelerated aging

In order to study the cross-linking density and aging constitutive relationship of HTPB coating during storage, the thermal accelerated aging tests at 0%, 3%, 6% and 9% prestrains were carried out. The cross-linking density of HTPB coating at different aging stages were tested using low-field ¹H NMR and the variation of cross-linking density was analyzed. The aging model of cross-linking density considering the chemical aging and the physical stretching factors was established. The uniaxial tensile tests were carried out on HTPB coating at different aging stages and the cross-linking density was introduced into Ogden hyperelastic constitutive model as a characterization parameter of correction coefficient. Combined with uniaxial tensile test results, a prestrain aging constitutive model of HTPB coating was established. The results show that the cross-linking density of HTPB coating increases rapidly at first and then slowly with the increase of thermal accelerated aging time without prestrain. Under prestrain conditions, the cross-linking density of HTPB coating decreases at the early stage, and increases rapidly at first and then slowly at the middle and late stages of thermal accelerated aging. The correlation coefficients of aging model of cross-linking density and aging constitutive model with test results are R > 0.9500 and R > 0.9900 respectively, which can be used to accurately describe the cross-linking density and aging constitutive relationship of HTPB coating under prestrain accelerated thermal aging conditions.     

金属靶体材料动力硬度测试及动态阻力分析

以高速侵彻下45钢靶体侵彻阻力为研究对象,开展了弹体高速侵彻45钢靶体试验,获取了典型弹体对45钢靶体的成坑参数。基于高速侵彻阻力模型对靶体侵彻阻力及影响因素进行分析。结合流体动力学侵彻模型对不同弹体材料侵彻45钢靶体侵彻深度规律进行研究。研究结果表明:随着撞击速度的增大,45钢的靶体阻力从5. 13 GPa减小到3. 7 GPa;基于材料动力硬度测试方法的靶体动态阻力测试结果和理论计算结果吻合较好;随着靶体动态屈服强度的增大,靶体阻力呈线性增大的趋势;侵彻深度及靶体动态阻力理论计算结果和试验数据吻合较好,说明所提动态阻力确定方法可行,可为高速侵彻动力学研究提供参考。     

面向作战任务的最小风险传感器调度方法

基于风险理论提出一种面向不同目标探测任务的传感器调度方法。将主动传感器辐射被截获风险和目标探测风险结合起来,建立一般目标探测框架下的传感器最小风险调度模型。分目标跟踪、目标识别和目标威胁等级评估三种情况将传感器最小风险调度模型具体化,给出不同情况下目标探测风险值的计算方法。针对模型的求解提出一种基于混沌思想、反向学习和双向轮盘赌的改进人工蜂群算法。通过仿真实验证明了模型的可行性和算法的有效性。     

基于统一理论框架的故障诊断模型及学习进化方法

本文以概率图理论为基础,系统研究了基于这一理论框架的故障诊断模型,对模型的构建方法以及在不同场景下的模型演化方案进行了探讨,使得在统一理论框架下可实现多模式系统故障诊断、耦合故障诊断、动态故障诊断、故障预测等复杂情形的诊断。为了弥补单独利用基于模型的方法和基于数据的方法的缺陷,研究了诊断模型的学习进化策略,实现了诊断效果的改进和优化。另外,对模型后续的能力扩展和可能的研究方向进行了展望,为后续理论研究提供了参考。     

对象边框标注数据的弱监督图像语义分割

针对图像语义分割应用中像素级标注数据费时昂贵的问题,主要研究以对象边框标注数据为代表的弱监督模型下的图像语义分割方法。使用基于金字塔的密集采样全卷积网络提取图像的像素级特征,并用GrabCut算法转化对弱监督数据进行数据标记,通过将图像特征和标记数据进行联合训练,构建了基于金字塔密集采样全卷积网络的对象边框标注弱监督图像语义分割模型,并在公开数据集上进行了验证。实验结果表明,所构建的弱监督模型与DET3-Proposed模型、全矩形转化模型以及Bbox-Seg模型相比,达到了更好的分割效果。