一种基于SAR图像边缘检测算子的短程活动轮廓模型

短程活动轮廓模型是一种基于变分法和偏微分方程的经典图像分割模型.由于乘性斑点噪声的存在,导致该模型不适用于sAR图像分割.基于sAR图像边缘榆测算子,提出了一种新颖的短程活动轮廓模型.其基本思想是,将原有模型中基于梯度的边缘定位函数,替换为基于ROEWA算子的边缘定位函数,提高了模型的边缘检测能力和边缘定位精度,因而更适合于SAR图像的分割.另外,在新模型的能最泛甬中增加"气球力"项,增强了曲线演化的动力,进而加快曲线演化的速度并降低模型对初始轮廓的敏感性.在模型的数值实现时,采用无条件稳定的AOS差分格式并辅以快速的水平集甬数重新初始化算法,不但增强了模型的稳定性,而且还加快了模型的收敛速度.针对仿真图像、Radarsat和ERS实测数据的实验结果,验证了该模型的有效性和精确性.     

干涉SAR相位展开算法的比较和改进

基于残差理论深入分析和比较了 2种最主要的干涉 SAR相位展开方法积分路径法和最小均方法的策略及性能。对加权最小均方算法从初始值和权值进行了讨论,给出了一种合成加权多重网格算法。该算法结合了分支阻断方法简单快速并有一致解的特点,使它为多重网格最小均方算法提供初始值,加速了多重网格算法的收敛;并采用由相位导数方差生成的二值质量图替代相关系数作为权值输入,增强了算法的适应能力及可靠性。实际 X-SAR数据的相位展开处理结果验证了本文的分析和结论。     

一种改进的PGA最大似然相位估计法

 讨论了合成孔径雷达( Synthet ic Aper ture Radar ) SAR) 成像处理过程中一种不需要直接求解矩阵特征值及其特征向量, 但仍然基于最大似然估计的应用于相位梯度自聚焦算法( Phase Gr adient Algorithm)PGA) 中的相位估计方法, 且主要从计算量及数据处理精度等方面与传统的特征向量方法相比较。结果表明,这种基于迭代方法计算特征向量相位的算法在SAR 成像自聚焦过程中具有实用意义。     

航空发动机分布式控制系统指数稳定性分析

建立具有时延与数据包丢失的航空发动机分布式控制系统模型,模型为一类异步动态系统,基于Lyapunov第二法和线性矩阵不等式方法推导了系统的指数稳定性判定定理,根据该判据可以得到分布式控制系统的指数稳定意义下的状态反馈控制律,数字仿真说明了该判据的有效性.      

国外成像侦察技术现状及发展趋势

成像侦察是近年来各国普遍重视的军事情报保障手段,论文首先分析国外航空平台和天基平台成像侦察装备的最新进展,然后介绍国外围绕侦察图像处理与解译所进行的相关研究工作,最后总结成像侦察技术的发展趋势。     

高速平台下动目标高分辨成像方法研究

高速平台对地面强散射移动目标或者海面舰船目标进行合成孔径雷达成像（SAR）时，存在两方面问题：一是传统SAR匀速直线模型已不适应高速平台自身高动态运动特征；二是目标的非合作运动一方面会引起图像散焦，另一方面动目标在地距图中的位置会产生较大偏移。针对这两个问题，首先在匀加速度模型频域相位滤波算法下，推导出了精确的斜地投影关系以及近似的反投影关系，同时给出了基于惯性组合导航（INS）的平台运动补偿方法，最后结合自聚焦技术，完成对舰船目标的聚焦并得到以目标为图像中心的地距图。     

GEO星弹双基SAR多普勒分辨率特性分析

通过对地球同步轨道（GEO）卫星运动特点的分析，阐明其对多普勒分辨率的影响。传统的双基合成孔径雷达（SAR）多普勒分辨率表达式由于不考虑雷达平台加速度矢量带来的影响，并不适用于GEO星弹双基SAR系统。根据收发平台的双曲线轨迹对目标的回波多普勒特性影响，首先利用梯度方法推导了GEO星弹双基SAR系统的多普勒分辨率表达式；随后详细地分析了GEO卫星与导弹的空间几何关系及多普勒参数，特别是加速度矢量对多普勒分辨率的影响。仿真结果验证了所推导多普勒分辨率表达式的有效性，其有助于双基SAR理论系统完整性的提高，为后续系统设计及应用实践提供理论支撑。     

Adapitive waveform design for distributed OFDM MIMO radar system in multi-target scenario

In order to improve detection and estimation performance of distributed Orthogonal-Frequency-Division Multiplexing (OFDM) Multiple-Input Multiple-Output (MIMO) radar system in multi-target scene, we propose a novel approach of Adaptive Waveform Design (AWD) based on a constrained Multi-Objective Optimization (MOO). The sparse measurement model of this radar system is derived, and the method based on decomposed Dantzig selectors is applied for the sparse recovery according to the block structures of the sparse vector and the system matrix. An AWD approach is proposed, which optimizes two objective functions, namely minimizing the upper bound of the recovery error and maximizing the weakest-target return, by adjusting the complex weights of the emitting waveform amplitudes. Several numerical simulations are provided and their results show that the detection and estimation performance of the radar system is improved significantly when this MOO-based AWD approach is applied to the distributed OFDM MIMO radar system. Especially, we verify the effectiveness of our AWD approach when the available samples are reduced severally and the technique of compressed sensing is introduced.     

航天器可展SAR天线结构综述

论述了航天器径向肋式、缠绕肋式、构架式和环形桁架式四种抛物面可展SAR天线结构的研究现状,分析了四种抛物面可展SAR天线结构的特点,分别对航天器翼式、桁架式和薄膜式三种平面可展SAR天线结构进行了综述,指出了航天器可展SAR天线结构轻质、大收纳比和高精度的发展趋势,提出了航天器可展SAR天线实现展开高精度需攻克的关键技术,旨在为航天器可展SAR天线结构的创新发展提供参考。     

Connectivity preservation and collision avoidance control for spacecraft formation flying in the presence of multiple obstacles

This paper addresses connectivity preservation and collision avoidance problem of spacecraft formation flying with multiple obstacles and parametric uncertainties under a proximity graph. In the proximity graph, each spacecraft can only get the states of the neighbor spacecraft within its sensing region. Connectivity preservation of a graph means that the connectivity of the graph should be preserved at all times during spacecraft formation flying. We consider two cases: (i) the obstacles are static, and (ii) the obstacles are dynamic. In the first case, a distributed continuous control algorithm based on artificial potential function and equivalent certainty principle is proposed to account for the unknown parameters and the static obstacles. In the second case, a sliding surface combined with a distributed adaptive control algorithm is proposed to tackle the influence of the dynamic obstacles and the unknown parameters at the same time. With the distributed control algorithms, the desired formation configuration can be achieved while the connectivity of the graph is preserved and the collisions between the spacecraft and the obstacles are avoided. Numerical simulations are presented to illustrate the theoretical results.