基于CS的SAR图像自动目标分割算法

图像目标分割是SAR图像目标超分辨处理和自动目标识别的重要步骤。针对图像固有的稀疏结构,提出了一种SAR图像自动目标分割算法。通过构造变换字典将SAR图像数据投影到高维空间,实现了图像局部特征的稀疏表示,然后利用随机矩阵获得稀疏域局部特征的压缩采样,并对多组采样数据运用Mean-shift 算法并行处理,最后通过符号检验法,实现了对目标像素与背景像素的分类。试验表明,该算法对硬目标具有较好的目标分割性能。     

SAR图像强回波目标检测的偏态分布方差方法

对复杂背景下的SAR图像强回波目标检测问题进行了研究,提出了基于偏态分布方差的自适应检测算法。首先设计一种新的基于偏态分布模型的方差滤波器,偏态分布方差滤波器可减少相干斑噪声对检测的不良影响,提高图像方差的差异性,即强目标回波边缘灰度方差相对于强目标回波灰度方差、背景杂波灰度方差更小。其次,算法改进了根据图像复杂度自动选取阈值方法,通过自适应检测小方差像素,实现强回波目标检测。仿真结果说明该算法能够对SAR图像强回波目标较快地进行准确检测。相比方差特征法(VAR)和扩展分形特征法(EF)在检测速度与虚警率方面均具有较大的优越性。     

一种改进的观测器算法在制导中的应用

研究了导弹视线角和视线角速度可测情况下的制导信息估计问题,给出了一种改进的CB观测器(Cost-Based Observer)设计算法。基于非线性平面拦截模型,将目标机动看作一阶马尔可夫过程建立了制导信息滤波的非线性状态方程并将其化为SDC模型。针对系统能观性不足问题,提出了多状态相关系数矩阵加权组合的方案对CB观测器进行改进。并将其用于估计弹目相对距离、相对速度和目标机动加速度,利用估计的制导信息进行制导计算并与制导信息完全可测情况进行比较研究。最后,采用比例导引律进行仿真,结果表明本文所设计的观测器估计精度较高,且能满足制导性能要求。     

TUGSAT-1/BRITE-Austria—The first Austrian nanosatellite

A nanosatellite to investigate the brightness oscillations of massive luminous stars by differential photometry is currently developed by a Canadian/Austrian team within the BRITE (Bright Target Explorer) project. The first Austrian satellite funded by the Austrian Space Program, called TUGSAT-1/BRITE-Austria, builds on the space heritage of the most successful Canadian CanX-2 and MOST missions. The satellite makes use of recent advances in miniaturized attitude determination and control systems. Precision three-axis stabilization by small reaction wheels and a star tracker provides the necessary accuracy for the photometer telescope to the arcminute level. This will provide to the astronomers photometric data of the most massive stars with unprecedented precision; data which cannot be obtained from the ground due to limitations imposed by the terrestrial atmosphere.The paper describes the spacecraft characteristics and the ground infrastructure being established in support of the BRITE mission which will consist of a constellation of up to four nearly identical satellites allowing to carry out long-term observation of stars (magnitude +3.5) not only with respect to brightness variations, but also in different spectrum ranges.     

两类空间目标的非参数姿态判别方法

在详细分析空间轨道目标窄带雷达特性的基础上,利用非参数统计学的随机游程检验理论对空间目标的稳定方式进行判别,从而实现对绕质心旋转和非旋转这两类目标的分类识别。     

高频地波雷达海杂波背景下目标检测研究综述

高频地波雷达探测距离远、全天候、实时准确探测等优点在目标检测领域广泛应用。针对海杂波会干扰目标检测的问题，分别从非线性预测类、分形类、子空间分解类、对消类等方面对海杂波背景下目标检测方法进行了综合评估。归纳总结国内外相关文献，并对目前方法存在的不足进行总结。为以后深入研究海杂波干扰问题提供参考。     

Information space of sensor networks: Lagrangian,energy-momentum tensor,and applications

It is a challenge to investigate the interrelationship between the geometric structure and performance of sensor networks due to the increasingly complex and diverse architecture of them. This paper presents two new formulations for the information space of sensor networks, including Lagrangian and energy–momentum tensor, which are expected to integrate sensor networks target tracking and performance evaluation from a unified perspective. The proposed method presents two geometric objects to represent the dynamic state and manifold structure of the information space of sensor networks. Based on that, the authors conduct the property analysis and target tracking of sensor networks. To the best of our knowledge, it is the first time to investigate and analyze the information energy–momentum tensor of sensor networks and evaluate the performance of sensor networks in the context of target tracking. Simulations and examples confirm the competitive performance of the proposed method.     

靶机挂载可变 RCS龙勃透镜时的 RCS起伏特性

训练用靶机尺寸远小于实战中的飞机,其 RCS数值大小和起伏特性与飞机存在较大的差别。为了以低廉的价格为部队训练提供高逼真度的模拟靶机,在靶机机头、翼下等位置放置一定样式的可变 RCS龙勃透镜,可以得到类似实战中飞机的 RCS特性。通过控制龙勃透镜的反射面位置可以改变其 RCS数值,实现模拟靶机 RCS的数值变化。采用靶机挂载可变 RCS龙勃透镜对 MQ-1无人机前向 RCS起伏特性进行了模拟,取得了较好的效果,可为采用靶机挂载可变 RCS龙勃透镜模拟作战飞机的全向 RCS特性提供借鉴。     

Variational Bayesian Kalman filter using natural gradient

We propose a technique based on the natural gradient method for variational lower bound maximization for a variational Bayesian Kalman filter. The natural gradient approach is applied to the Kullback-Leibler divergence between the parameterized variational distribution and the posterior density of interest. Using a Gaussian assumption for the parametrized variational distribution, we obtain a closed-form iterative procedure for the Kullback-Leibler divergence minimization, producing estimates of...     

面向多旋翼重载无人机均流技术优化研究CSCD

多旋翼重载无人机的应用需要大功率的无刷直流电机为其提供升力。金属-氧化物半导体场效应晶体管(MOSFET)和绝缘栅双极型晶体管(IGBT)等开关器件可以通过并联提供更大的电流容量,以满足大功率的需求。然而,由于杂散电感、器件特性的变化和印制电路板(PCB)布局的不对称等原因,并联开关器件将出现不平衡电流,这可能会对系统造成损坏。为解决此问题,使用Multisim软件搭建仿真电路,测量2个并联MOSFET之间的电流,分析不平衡电流产生的具体原因,并提出了一种采用栅极串联均流电阻联合耦合电感的MOSFET并联电流均衡方法,最后通过仿真和实验验证了该方法的可行性。与串联均流电阻法和耦合电感法相比,此方法能使导通电流保持均衡,更好地提高系统的可靠性。