NOVEL RADAR SIGNAL SORTING METHOD BASED ON GEOMETRIC COVERING

With the increase of complexity of electromagnetic environment and continuous appearance of advanced system radars, signals received by radar reconnaissance receivers become even more intensive and complex. There- fore, traditional radar sorting methods based on neural network algorithms and support vector machine （SVM） cannot process them effectively. Aiming at solving this problem, a novel radar signal sorting method based on the cloud model theory and the geometric covering algorithm is proposed. By applying the geometric covering algo- rithm to divide input signals into different covering domains based on their distribution characteristics, the method can overcome a typical problem that it is easy for traditional sorting algorithms to fall into the local extrema due to the use of complex nonlinear equation to describe input signals. The method uses the cloud model to describe the membership degree between signals to be sorted and their covering domains, thus it avoids the disadvantage that traditional sorting methods based on hard clustering cannot deinterleave the signal samples with overlapped param- eters. Experimental results show that the presented method can effectively sort advanced system radar signals with overlapped parameters in complex electromagnetic environment.     

基于QAR的PW4077D发动机放气活门与N1的关系

航空发动机的放气活门调节规律是一个较为复杂的控制过程。依据大量QAR数据,采用数学分析的方法初步探索了PW4077D型发动机2.5级放气活门开度控制规律。通过对大量数据的统计分析可知,放气活门开度与低压转子转速N1关系最为密切。首先通过数据解码和修正得到各航班标准状态下的N1值;采用非线性回归的数理统计方法分段拟合,得到2.5级放气活门开度与N1的数学模型。经检验,该模型在一定范围内良好地反映了该型发动机2.5级放气活门开度大小的调节规律。     

Bernoulli particle flter with observer altitude for maritime radiation source tracking in the presence of measurement uncertainty

For maritime radiation source target tracking in particular electronic counter measures（ECM）environment,there exists two main problems which can deteriorate the tracking performance of traditional approaches.The frst problem is the poor observability of the radiation source.The second one is the measurement uncertainty which includes the uncertainty of the target appearing/disappearing and the detection uncertainty（false and missed detections）.A novel approach is proposed in this paper for tracking maritime radiation source in the presence of measurement uncertainty.To solve the poor observability of maritime radiation source target,using the radiation source motion restriction,the observer altitude information is incorporated into the bearings-only tracking（BOT）method to obtain the unique target localization.Then the two uncertainties in the ECM environment are modeled by the random fnite set（RFS）theory and the Bernoulli fltering method with the observer altitude is adopted to solve the tracking problem of maritime radiation source in such context.Simulation experiments verify the validity of the proposed approach for tracking maritime radiation source,and also demonstrate the superiority of the method compared with the traditional integrated probabilistic data association（IPDA）method.The tracking performance under different conditions,particularly those involving different duration of radiation source opening and switching-off,indicates that the method to solve our problem is robust and effective.     

SPATIAL REGULARIZATION OF CANONICAL CORRELATION ANALYSIS FOR LOW-RESOLUTION FACE RECOGNITION

Canonical correlation analysis ( CCA ) based methods for low-resolution ( LR ) face recognition involve face images with different resolutions ( or multi-resolutions ), i.e.LR and high-resolution ( HR ) .For single-resolution face recognition , researchers have shown that utilizing spatial information is beneficial to improving the recognition accuracy , mainly because the pixels of each face are not independent but spatially correlated.However , for a multi-resolution scenario , there are no related works.Therefore , a method named spatial regularization of canonical correlation analysis ( SRCCA ) is developed for LR face recognition to improve the performance of CCA by the regularization utilizing spatial information of different resolution faces.Furthermore , the impact of LR and HR spatial regularization terms on LR face recognition is analyzed through experiments.     

基于混合总线的ATS升级方法

在虚拟仪器技术进步的过程中,由于需求的复杂性、成本的限制、技术生命期和设备寿命期等诸多因素的共同作用,新、老技术并存的情况必然存在,所以研究ATS的升级问题是一项具有现实意义和经济价值的工作.介绍了一种基于混合总线的自动测试系统升级设计,从硬件和软件两个方面详细说明了系统的实现过程.系统从硬件系统设计到软件开发都遵循了标准化和通用化的设计思想.     

强实时条件下光纤通道仲裁环带宽分配方法

光纤通道是一个为适应高性能信息传输要求而提出的计算机通讯协议,仲裁环是光纤通道的基本拓扑结构之一.为解决网络消息集实时发送的问题,研究了光纤通道仲裁环拓扑在强实时条件下的通信性能.依据实时系统中的周期任务模型和光纤通道仲裁环协议规定的访问公平机制,采用负载匹配算法提出了一种适用于仲裁环网络的带宽分配方法.推导并证明了采用该方法时在最坏情况下消息集强实时的网络可达负载率不低于50％.     

转子槽口深度和槽配合对异步电机转子损耗的影响

为了分析转子槽口深度及定转子槽配合对三相变频调速异步电动机转子损耗的影响,采用ANSYS Maxwell软件对1台空载损耗异常的10极、1 100 kW三相变频调速异步电动机转子损耗进行详细分析。通过建立不同转子槽口深度和定转子槽配合的电机模型,结合电机内谐波磁场的理论,对比分析了不同槽口深度和定转子槽配合的电机模型转子铁心与转子导条中的损耗。根据仿真分析结果,对该样机进行改进设计。样机试验结果表明仿真计算的正确性,可为相关电机的设计提供参考。     

面向铺放工艺的预浸料剥离仿真与试验验证

为系统建立可表征刚度与黏性的预浸料剥离模型,构建探针、拉伸与剥离相结合的试验验证系统。首先,设计用于预浸料的移动悬臂剥离装置,完成各工艺参数下预浸料黏性和动态刚度的90°剥离试验测定,并建立剥离仿真模型;然后,通过探针试验获取黏性参数,采用内聚力模型定量表征黏性参数;接着,通过拉伸、压缩试验测定预浸料的正交各向异性力学参数,连同探针试验获得的黏性参数一同输入到剥离模型中,在各个工艺参数下黏性和刚度的仿真结果与试验值吻合程度良好;由于仿真与试验揭示剥离脱辊现象会影响剥离力测定值,因此研究脱辊现象及其机理,发现将导辊半径设计在3~7 mm内,可减弱脱辊程度、提高剥离试验的准确性。为系统测定并表征预浸料黏性及刚度、预浸料建模、开展自动铺放仿真等提供了参考。     

基于Kriging模型的浮空器氦气昼夜温差最优化

分析浮空器氦气昼夜温差时通常将整个囊体蒙皮涂层设置为同一种材料,分析材料的吸收率与发射率对氦气昼夜温差的影响。为进一步减小氦气昼夜温差,提出了将囊体分为迎光面和背光面,迎光面采用吸收率低的材料,背光面采用发射率高的材料。建立了囊体热力学模型,采用Kriging模型对囊体不同部位的材料特性进行优化,其基本思想是将囊体划分为48个部分,采用拉丁超立方体方法进行抽样,进行热力学分析得到样本的响应,以此建立Kriging近似模型。经过该方法优化后发现,氦气的昼夜温差减小到28.6 K,比传统的分析减少7.7%。